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Tue 15 Sept 21:28 UTC
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Open-source projects, reviewed the honest way — including who should skip them.
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★ 11k · Python
claude-skills
Claude Skills is a Claude Code plugin containing 67 specialist instruction sets for software work, plus nine commands for running projects through Jira and Confluence. It gives the coding agent reusable methods and reference material for particular languages, frameworks, security reviews, testing, and operations.
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★ 29k · Jupyter Notebook
RAG_Techniques
RAG_Techniques is an English-language collection of 42 Jupyter notebooks that teach ways to retrieve better context for language-model answers. It helps you compare methods such as chunking, reranking, Graph RAG, and evaluation before choosing what to build. It is a teaching library rather than an installable RAG product.
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★ 1.2k · JavaScript
ux-ui-agent-skills
UX/UI Agent Skills is a reusable instruction and knowledge kit that gives Claude structured guidance for design systems, accessibility, component design, and interface code. It solves the consistency problem teams hit when an AI assistant produces attractive but disconnected screens without shared tokens, states, or quality gates.
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★ 4.6k · TypeScript
dictionary-of-ai-coding
Dictionary of AI Coding is an English-language glossary for the terms developers meet while working with coding agents. It explains models, tokens, context, tools, failure modes, handoffs, memory, review, and agent-friendly development in plain language with usage examples.
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★ 4.1k · Python
gemini-skills
Gemini Skills is a set of instruction files and helper scripts that teaches coding agents how to use current Gemini APIs and SDKs. It covers ordinary API work, live audio and video sessions, and Gemini Omni video generation so an agent is less likely to produce code from outdated model knowledge.
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★ 1.6k · JavaScript
reversa
Reversa installs a collection of coding-agent skills into an existing project, then guides an agent through extracting business rules, architecture, data relationships, and gaps from the code. It is meant for teams that inherited a system without dependable specifications and want traceable working documents before they change or rebuild it.
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★ 4.2k · Python
Claude-Red
Claude-Red is a library of ready-made instruction files that guide Claude through authorized offensive-security work. It gives operators structured methods for 78 topics, so they do not have to rebuild a testing checklist for every engagement.
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★ 24k · Python
knowledge-work-plugins
Knowledge Work Plugins is Anthropic's collection of 11 role-based plugin packs for Claude Cowork and Claude Code. Each pack combines instructions, slash commands, sub-agents, and MCP connectors so Claude can follow a repeatable workflow for jobs such as sales, finance, support, data analysis, or bio-research.
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★ 26k · C++
llamafile
llamafile packs a large language model and its runtime into a single executable file that runs on Windows, macOS, Linux, and BSD without installation. It also includes whisperfile, a single-file speech-to-text tool built on whisper.cpp. The goal is to make open LLMs easy to distribute and run locally.
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★ 1.1k · JavaScript
OpenContext
OpenContext keeps project notes and decisions in a local library so coding assistants can reuse them across sessions and repositories. Its command-line tool, desktop interface, and Model Context Protocol server let Cursor, Claude Code, and Codex find or update that material without replacing the coding agent you already use.
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★ 3.2k · Python
hyperresearch
Hyperresearch is a Python package that turns Claude Code into a multi-stage research runner and keeps gathered sources in a reusable Markdown vault. It searches, drafts, criticizes, checks citations, and resumes interrupted work instead of treating each report as a disposable chat.
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★ 35k · TypeScript
prompt-optimizer
Prompt Optimizer is a TypeScript application for improving, testing, comparing, and saving prompts before you use them with an AI provider. It turns prompt tweaking from a copy-and-paste habit into a repeatable workspace, with text and image workflows available through a web app, desktop app, Chrome extension, Docker, or MCP.
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★ 2.1k · Go
agent-router
Agent Router is the new name for Envoy AI Gateway, an open-source control plane that puts one OpenAI-compatible address in front of hosted models, self-hosted inference, and MCP servers. It centralizes provider credentials, routing, quotas, fallback, and usage records while Envoy handles the network traffic.
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★ 3.0k · TypeScript
llm-for-zotero
llm-for-zotero puts an AI assistant inside Zotero for asking questions about papers, comparing sources, inspecting figures, and saving research notes. Its optional agent can also search and change a library, while MCP, Codex, Claude Code, WebChat, and local model connections let users choose where the model runs.
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★ 748 · Rust
webcodex
WebCodex is an open-source Rust tool that gives AI assistants like ChatGPT and Claude a local, permission-bounded development environment on your own machine. It solves the problem of moving a repository into a hosted AI workspace by keeping code, Git, tests, and developer tools where they already live, connected over MCP or HTTPS.
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★ 71k · C
codegraph
CodeGraph builds a local SQLite graph of a codebase, then gives coding agents one MCP tool for retrieving relevant source, call paths, and a change's likely blast radius. It targets the discovery work that agents usually do with repeated searches and file reads, while also offering CLI queries and a browser viewer on the main branch.
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★ 29k · C#
semantic-kernel
Semantic Kernel is Microsoft's software kit for connecting applications to language models and organizing assistants, tools, memory, and multi-agent workflows. It supports Python, .NET, and Java, but Microsoft now identifies Microsoft Agent Framework 1.0 as its production-ready successor, so new adopters must weigh current capability against a future migration.
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★ 15k · Go
cc-connect
CC-Connect is a Go bridge that lets you operate local AI coding agents from chat services instead of staying at the development machine. It connects tools such as Claude Code, Cursor, Gemini CLI, and Kimi CLI to services including Slack, Discord, Telegram, Feishu/Lark, DingTalk, and WeCom.
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★ 9.2k · Python
no-ai-slop
No AI Slop is an English-language editing skill for ChatGPT, Claude Code, Codex, and other coding agents. It asks the agent to remove more than 20 recurring writing habits while preserving the writer's wording and voice, and it has a separate mode that flags patterns without claiming to detect AI authorship.
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★ 25k · TypeScript
distilly
Distilly turns selected writing, transcripts, public pages, and working material into a versioned profile of how a person thinks and communicates. An agent can load that profile for one run or install an approved copy as a lasting local Skill, with the source material and history kept on the user's machine.
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★ 67k
▲22/7d
· Python
gpt4free
GPT4Free, packaged as `g4f`, puts many hosted and local model adapters behind a Python client, web interface, OpenAI-compatible server, and MCP server. It can route text and media requests through providers with different login methods, but it does not make those providers equally reliable or grant permission to use their services.
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★ 29k
▲136/7d
· Python
openai-agents-python
The OpenAI Agents SDK is a Python framework for running language-model agents with tools, handoffs, guardrails, session memory, human approvals, and tracing. It gives developers one runner for text, long-running sandbox work, realtime sessions, and voice pipelines instead of making each application build those control loops itself.
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★ 3.8k
▲104/7d
· TypeScript
notfair-plugin
NotFair Plugin is a collection of 45 open-source marketing procedures for Claude Code, Codex, Cursor, Gemini CLI, and compatible agents. It gives an agent detailed instructions for SEO, analytics, and paid-media work, while a hosted MCP connection supplies live account data and approved write actions.
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★ 2.3k
▲146/7d
· Python
freecad-mcp
FreeCAD MCP lets an AI client such as Claude Desktop create and inspect models inside the FreeCAD desktop app. A Python server translates the client's requests into FreeCAD operations, so the model can add parts, edit properties, take views, and run scripts without the user clicking through every command.
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★ 2.2k
▲649/7d
· TypeScript
chat-on-steroids
Chat On Steroids is an Electron desktop app and local MCP server that lets ChatGPT read files, patch code, run shell commands, retain transcripts, and coordinate worker chats on your computer. It closes the gap between a browser conversation and local development tools, with approved folders and per-capability switches defining what ChatGPT may do.
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★ 635
▲6/7d
· Python
my-free-code
My Free Code presents itself as a local Python gateway that lets Claude Code and other coding agents send requests through different hosted or local model providers. Commit 3fea11e also wires the documented start command to an unexplained Windows-only loader that downloads Python over plain HTTP and executes it in memory, so the checked-out project is unsafe to run.
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★ 53k
▲133/7d
· Jupyter Notebook
claude-cookbooks
The Claude Cookbooks repository is Anthropic's official collection of example Jupyter notebooks and markdown guides for the Claude API. It shows developers how to wire up text classification, retrieval augmented generation, tool use, vision, prompt caching, and cost tuning with copy-able Python snippets.
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★ 871
▲170/7d
· Go
agentdock
AgentDock is an MCP runtime that lets an AI client operate files, shells, Git repositories, browsers, and long-running tasks on machines you control. It supplies the connection and permission layer between clients such as ChatGPT, Claude, or Codex and local computers, servers, or containers; it does not supply a chat interface or model inference.
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★ 268
▲42/7d
· Rust
agentic-api
Agentic API is a Rust gateway that adds conversation state, tool loops, and OpenAI Responses or Anthropic Messages protocol handling in front of vLLM. It lets Codex, Claude Code, SDKs, and custom clients use self-hosted models without making every client manage history and server-side tools itself.
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★ 387
▲96/7d
· Rust
funes
Funes turns past Claude Code, Codex, pi, and Hermes sessions into a searchable local memory that an AI coding agent can query later. It solves the familiar problem of decisions, dead ends, and useful findings disappearing when a session closes, while optionally sharing that history through a Hugging Face dataset.
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★ 4.2k
▲1.4k/7d
· TypeScript
codex-with-chatgpt
Codex with ChatGPT is an unofficial TypeScript bridge that lets the ChatGPT web app read selected files and Git state while Codex keeps control of edits and commands. It targets people who want ChatGPT to plan and review coding work without sending a whole repository or using an API key. The README opens in Chinese and English, then provides detailed English instructions and links a full Simplified Chinese guide.
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★ 27k
▲1.0k/7d
· Python
skills
OpenAI Skills is an English-language catalog of instruction folders, scripts, and reference material that Codex can load for repeatable tasks. Its README now marks the repository deprecated and directs new authors to OpenAI Plugins and the current Codex skill documentation.
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★ 5.2k
▲38/7d
· Go
axonhub
AxonHub's primary README is Chinese, although English and Japanese documentation links are provided. It is a self-hosted AI gateway that lets applications keep using an OpenAI or Anthropic SDK while routing requests to different supported providers. It also puts tracing, access control, quotas, load balancing, and cost tracking in one control layer.
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★ 30k
▲391/7d
· TypeScript
supermemory
Supermemory stores facts and documents for AI applications, then retrieves relevant history and maintains a changing user profile across conversations. Developers can use its hosted API, connect AI clients through MCP, or run a smaller single-machine server with their own language model.
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★ 30k
▲1.5k/7d
· Python
book-to-skill
book-to-skill turns a book or document folder into a set of instructions and topic files that a coding agent can consult later. It extracts the source locally, then guides Claude Code, Codex, Copilot CLI, Amp, or Hermes Agent through writing chapter notes, a glossary, patterns, and a quick-reference file.
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★ 4.6k
▲20/7d
· TypeScript
OB1
Open Brain is a personal memory backend that lets several AI clients save and retrieve the same information. It combines a Supabase database, semantic search, an MCP server, and optional recipes so your notes are no longer trapped inside one assistant.
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★ 75k
▲119/7d
· Python
LlamaFactory
LlamaFactory is a Python toolkit for adapting more than 100 large language and multimodal model families to your own data. It brings command-line tools, a browser interface, multiple training methods, experiment tracking, and serving options into one project, reducing the amount of separate training plumbing a team must assemble.
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★ 23k
▲66/7d
· Python
verl
verl is a Python framework for reinforcing and fine-tuning large language models after their initial training. It coordinates training backends, rollout engines, rewards, model placement, and distributed workers so research teams can run PPO, GRPO, and related methods on their own GPU infrastructure.
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★ 1.7k
▲43/7d
· Rust
skills-hub
Skills Hub is a desktop manager for Agent Skills used by Claude Code, Codex, Cursor, and dozens of other coding assistants. It keeps one central copy of each skill, then links or copies it into global and project folders so users can install, tag, update, enable, and remove skills from one interface.
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★ 4.6k
▲184/7d
· TypeScript
aidlc-workflows
AI-DLC Workflows is an AWS Labs framework that makes coding agents follow a recorded software-development process instead of jumping straight from a prompt to code. One shared TypeScript engine supplies staged planning, specialist agents, human approvals, audit records, and resumable state to 7 supported coding assistants.
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★ 19k
▲99/7d
· Python
notebooklm-py
notebooklm-py is an unofficial Python client for Google's NotebookLM, now branded Gemini Notebook. It lets applications, shell scripts, MCP clients, and coding agents create notebooks, add sources, ask cited questions, generate media or study material, and download the results.
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★ 16k
▲57/7d
· TypeScript
a2ui
A2UI is a protocol and set of renderer libraries for letting an AI agent describe an interactive interface as JSON. The client maps that description onto a catalog of approved components, which gives remote agents forms, cards, and other UI without executing code they generated.
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★ 19k
▲88/7d
· TypeScript
web-llm
WebLLM runs supported language models inside a web browser with WebGPU, so prompts and generated text can stay on the user's device after model assets arrive. Its TypeScript API resembles OpenAI chat completions and includes streaming, JSON output, workers, browser caching, and custom MLC model support. It solves the server-cost and data-routing problem for web apps whose users have suitable hardware.
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★ 79k
▲1.2k/7d
· Python
hello-agents
Hello-Agents is a Chinese-first, 16-chapter course on building language-model agents; full English versions of the main README and chapters are available. It teaches agent patterns, memory, retrieval, protocols, training, evaluation, and multi-agent projects, with code that readers are expected to run and modify.
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★ 11k
▲182/7d
· Python
geo-seo-claude
GEO-SEO Claude Code is a Claude Code skill that audits websites for visibility in AI answers while also checking familiar SEO basics. It turns page fetching, crawler rules, schema checks, content scoring, and report generation into slash commands for people who already work inside Claude Code.
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★ 2.0k
▲1.3k/7d
· Rust
OpenResearch
OpenResearch is a local workspace for sending coding agents through literature review, hypothesis development, experiments, and research writing. It solves the messy coordination problem around parallel agent sessions by keeping their code, evidence, runs, and outputs together on your machine.
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★ 8.6k
▲64/7d
· Rust
rig
Rig is a Rust library for adding language models, tools, memory, and retrieval to an application without writing a separate client for every provider. It supplies shared interfaces and an agent runtime, while leaving the surrounding product, deployment, and model accounts to you.
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★ 4.2k
▲116/7d
· TypeScript
open-knowledge
OpenKnowledge is a desktop and local web editor that makes Markdown and MDX folders feel closer to Notion while keeping files in an ordinary project directory. It adds graph navigation, Git/GitHub sync, search, and side-by-side work with Claude, Codex, and other agents through MCP, CLI, and skills.
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★ 31k
▲172/7d
· Python
graphiti
Graphiti is a Python framework that turns conversations and other changing data into a knowledge graph for AI agents. It keeps the source episode, the extracted entities, and the time window for each fact, which lets an application ask what is true now or what was true earlier.
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★ 1.6k
▲80/7d
· Python
cve-mcp-server
CVE MCP Server gives an MCP-compatible assistant tools for looking up vulnerabilities, exploitation signals, threat data, and package risk. Its main job is to collect evidence from several security services so an analyst can triage a CVE without opening each service by hand.
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★ 61k
▲1.4k/7d
· Python
minimind
MiniMind is a Chinese-first tutorial repository for training a small language model from scratch; a full English README is provided beside the main Chinese guide. It exposes the model, tokenizer, data loaders, alignment methods, local inference, and API code so learners can follow the whole path instead of calling a high-level training wrapper.
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★ 33k
▲207/7d
· JavaScript
SillyTavern
SillyTavern is a locally installed chat interface for talking to many hosted or local language models through one highly configurable screen. It adds character cards, lorebooks, group chats, prompt controls, image generation, and speech integrations for people who find ordinary assistant chat boxes too restrictive.
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★ 371
▲22/7d
· Python
Hy4-preview
Hy4 preview is Tencent's open-weight mixture-of-experts language model for coding, analysis, tool use, and long-context work. The repository mainly supplies deployment directions and three fine-tuning paths for a 770B-parameter model, with English and Chinese documentation.
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★ 155k
▲333/7d
· Python
langflow
Langflow is a visual builder for creating AI agents and workflows, testing them interactively, and exposing the finished flows as APIs or MCP tools. It helps developers connect models, retrieval, tools, and conversation logic without hand-writing every integration, while still allowing Python customization when the visual components are not enough.
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★ 68k
▲48/7d
· Rust
openinterpreter
Open Interpreter is now a Rust coding agent built from OpenAI's Codex codebase, with selectable harnesses for lower-cost and local models. It runs commands on your computer, connects to editors through ACP, reads shared agent instructions and skills, and can speak the Codex exec protocol.
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★ 19k
▲1.8k/7d
· TypeScript
llm_wiki
LLM Wiki is a desktop app that turns imported documents into a linked, searchable wiki maintained with language models. It keeps the source files, generated pages, citations, graph, and chat history on your machine, while letting you choose local or hosted model providers.
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★ 9.4k
▲949/7d
· Python
patent-disclosure-skill
Patent Disclosure Skill is a Chinese-language Claude Code and Cursor skill for drafting Chinese patent disclosure documents, reading published patents, watching policy changes, and assisting with office-action replies. The primary README, installation guide, and workflow instructions are in Chinese; there is a short English description in the skill metadata, but no full English documentation path.
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★ 1.8k
▲229/7d
· Python
oh-my-hermes
oh-my-hermes, or OMH, is an operating layer for NousResearch's Hermes Agent. It installs skills, workflow routing, model preferences, local memory contracts, a terminal display, and guarded handoffs to coding tools such as Claude Code and Codex while trying to distinguish prepared work from observed results.
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★ 606 · Rust
anolisa
ANOLISA is a collection of Linux-focused tools for running AI agents from a terminal, trimming tool output, keeping memory, tracing activity, and putting boundaries around execution. It addresses the operational work between an agent framework and the machine it controls.
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★ 31k
▲456/7d
· Python
heretic
Heretic automatically modifies transformer-based language models to reduce safety refusals without conventional post-training. It searches for directional-ablation settings that suppress refusals while trying to keep the modified model close to the original, giving researchers and local-model builders a repeatable alternative to tuning those settings by hand.
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★ 5.7k
▲35/7d
· Python
flash-linear-attention
Flash Linear Attention is a Python library of GPU-oriented kernels, layers, and model definitions for linear attention, sparse attention, state-space models, and hybrid language models. It gives researchers a shared implementation base for trying newer sequence architectures without writing every Triton kernel and backward pass themselves.
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★ 3.3k
▲8/7d
· Go
docker-agent
Docker Agent is a Go runtime and Docker CLI plugin for defining AI agents in YAML, giving them tools, and letting them delegate work to other agents. It connects to cloud or local models, accepts MCP tools, can index documents for retrieval, and packages agent configurations in OCI registries.
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★ 16k
▲21/7d
· Python
aisuite
aisuite is a Python library that gives several hosted and local language-model providers one OpenAI-shaped chat interface. It also has an agent runner, tool policies, persistent state, streaming, and MCP connections for developers who want one application to switch among providers.
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★ 1.0k
▲11/7d
· JavaScript
atlassian-mcp-server
Atlassian Rovo MCP Server is Atlassian's cloud-hosted bridge between AI clients and Jira, Confluence, Jira Service Management, Bitbucket Cloud, and Compass. It lets an agent search, read, create, and update work using the user's existing Atlassian permissions; this repository mainly packages connection manifests and reusable skills for the hosted service.
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★ 25k
▲158/7d
· TypeScript
promptfoo
Promptfoo is a command-line tool and library for testing prompts, models, agents, and retrieval-based AI applications. It lets teams compare outputs, turn expected behavior into repeatable checks, and probe an AI system for security failures before release.
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★ 68k
▲580/7d
· TypeScript
OpenSpec
OpenSpec is a command-line workflow for writing requirements, design notes, and implementation tasks before an AI coding assistant changes a repository. It keeps those artifacts as Markdown in the project, so the plan can be reviewed, revised, and archived with the code instead of disappearing into chat history.
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★ 521
▲13/7d
· Go
d-inference
Darkbloom is a public-alpha network that routes OpenAI- and Anthropic-compatible inference requests to Apple Silicon Macs owned by independent providers. It encrypts traffic between a coordinator and attested provider processes, while the coordinator still handles plaintext transiently inside confidential-VM memory for routing and billing.
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★ 4.8k
▲78/7d
· Rust
agentgateway
Agentgateway is a proxy for traffic between agents, language models, MCP tool servers, and other agents using A2A. It centralizes routing, credentials, policy, guardrails, spending controls, and telemetry, with standalone and Kubernetes deployment modes.
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★ 1.6k
▲20/7d
· TypeScript
opencode-mem
OpenCode Memory is a plugin that gives the OpenCode coding agent searchable memory across sessions. It stores project decisions, prior fixes, prompts, and a user-preference profile in local libSQL shards, then injects relevant items into later chats.
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★ 36k
▲307/7d
· Python
sglang
SGLang is an inference server for large language, vision-language, embedding, reward, and diffusion models. It turns model weights into OpenAI-compatible and native HTTP APIs, with scheduling, caching, parallel execution, and quantization for anything from one accelerator to a distributed cluster.
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★ 22k
▲140/7d
· Python
opik
Opik records traces from language-model applications and gives teams a place to inspect calls, compare experiments, manage prompts, run evaluations, and watch production behavior. It can run as Comet's hosted service or as an Apache-2.0 self-hosted platform with Python, TypeScript, OpenTelemetry, and MCP entry points.
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★ 22k
▲79/7d
· Python
adk-python
Google's Agent Development Kit is a Python framework for defining agents, tools, sessions, evaluations, and multi-agent workflows in code. It is built around Gemini but can work with other model providers, and it gives teams a path from a local command-line agent to Cloud Run or Vertex AI Agent Engine.
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★ 27k
▲91/7d
· TypeScript
ai
AI SDK is a TypeScript toolkit for calling language-model providers, streaming responses, generating typed data, running tool loops, and wiring AI output into web interfaces. It gives applications one API across providers while still allowing direct provider packages when a feature needs vendor-specific access.
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LLM Tools
★ 170
▲6/7d
· Rust
ambient-context
Ambient Context is a macOS menu bar app that records text from the window you are using and saves it as daily Markdown. An agent you already use can turn that record into cited notes, and the app exposes the archive to Claude Code, Codex, Cursor, and other MCP clients.
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★ 1.2k · JavaScript
northcinder
NorthCinder is a local MCP server that helps an AI app compare products, keep source and rejection evidence, and ask for approval before checkout. It is designed as buyer-controlled shopping infrastructure rather than a hosted marketplace, and the repository owner says it operates no NorthCinder cloud service.
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LLM Tools
★ 3.5k
▲4/7d
· TypeScript
grok-bot-0.18-reconstructed
Grok Bot 0.18 Reconstructed is an unofficial TypeScript reconstruction of the shipped Grok Bot macOS application, with readable replacements for much of its desktop and agent runtime. It keeps the original minified renderer as a pinned input, then adds provider routing for Cursor, Claude Code, Codex, and OpenRouter plus an optional local Docker execution box.
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LLM Tools
★ 31k
▲415/7d
· Rust
CodexPlusPlus
Codex++ is primarily documented in Chinese, with a full English README available. It is an external launcher and manager for the OpenAI Codex and ChatGPT desktop app, adding provider switching, local protocol conversion, session tools, and interface modifications without patching the official app files.
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LLM Tools
★ 18k
▲105/7d
· Python
Megatron-LM
Megatron-LM is NVIDIA's reference framework for training very large transformer models across many GPUs. Its Megatron Core library supplies reusable model components and several ways to split training work across devices, while the repository adds scripts and examples for researchers running full training jobs.
Setup
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LLM Tools
★ 138k
▲1.4k/7d
· Python
awesome-llm-apps
Awesome LLM Apps is a large collection of runnable Python examples for agents, RAG, voice tools, MCP integrations, and other LLM projects. It solves the blank-page problem for developers who learn faster from working code than from framework documentation, though each folder should be judged as its own small project.
Setup
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LLM Tools
★ 19k
▲48/7d
· TypeScript
eliza
elizaOS is a TypeScript framework and application stack for building AI agents that can chat, remember information, call tools, and run across web, desktop, mobile, and connected services. The same repository holds the runtime, user-facing app, CLI, cloud code, native bridges, and first-party plugins.
Setup
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LLM Tools
★ 29k
▲254/7d
· Python
deepagents
Deep Agents is LangChain's opinionated Python harness for agents that work across long, multi-step tasks. It bundles planning, file and shell tools, subagents, context compression, memory, human approval, skills, and MCP tools on top of LangChain and LangGraph, while letting developers replace those pieces.
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LLM Tools
★ 3.6k
▲138/7d
· Python
marin
Marin is an open Python platform for researching and training foundation models, with data preparation, tokenization, training, evaluation, and cluster execution in one project. It records experiment code, checkpoints, reports, decisions, and failed runs so another research group can inspect how a model was made.
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LLM Tools
★ 18k
▲79/7d
· Go
gastown
Gas Town is a workspace manager for coordinating many coding agents across one or more Git repositories. It stores tasks, identities, handoffs, and recovery state outside an agent's chat so work can survive restarted sessions.
Setup
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LLM Tools
★ 31k
▲161/7d
· Python
claude-code-templates
Claude Code Templates is a catalog and CLI for installing agents, slash commands, settings, hooks, skills, MCP integrations, and plugins into Claude Code. It also includes local dashboards for session analytics, chat monitoring, health checks, skills, and plugin management.
Setup
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LLM Tools
★ 34k
▲333/7d
·
awesome-agent-skills
Awesome Agent Skills is a large, organized directory of instruction packs for Claude Code, Codex, Gemini CLI, Cursor, and other coding agents. It helps developers find a skill for a specific job without trawling through GitHub, while keeping official team entries separate from community submissions.
Setup
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LLM Tools
★ 2.1k
▲50/7d
· Go
ai-gateway
Envoy AI Gateway puts one managed entry point in front of hosted model APIs, self-hosted inference, and MCP servers. It translates provider formats, applies authentication and traffic policy, tracks AI-specific usage, and routes requests through Envoy on Kubernetes.
Setup
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LLM Tools
★ 63k
▲146/7d
· Python
nanoGPT
nanoGPT is a small Python codebase for training, fine-tuning, and sampling GPT-style language models without a large framework around the model loop. It solves the problem of learning from or changing a readable implementation, but its maintainer now labels the project deprecated and directs new users to nanochat.
Setup
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LLM Tools
★ 29k
▲638/7d
· JavaScript
9router
9Router is a self-hosted traffic switchboard for AI coding clients such as Claude Code, Codex, and Cursor. It translates client formats, tracks provider quotas, compresses tool output, and can fall back across subscriptions, paid APIs, free tiers, or local models when a route stops working.
Setup
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LLM Tools
★ 8.8k
▲24/7d
· Go
adk-go
Google's Agent Development Kit for Go is a code-first library for building, evaluating, orchestrating, and deploying AI agents. It is optimized for Gemini but exposes tools, multi-agent composition, model interfaces, sessions, and deployment pieces as Go packages.
Setup
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LLM Tools
★ 35k
▲187/7d
· TypeScript
langfuse
Langfuse is an English-first platform for tracing, evaluating, and debugging applications that call language models. It stores model calls and surrounding application steps, then connects those traces to prompt versions, user feedback, datasets, costs, and evaluation results. Chinese, Japanese, and Korean README translations also exist.
Setup
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LLM Tools
★ 991
▲15/7d
· Python
sf-skills
Salesforce Skills Library is a large collection of Agent Skills for building and operating Salesforce applications. Its folders give compatible coding agents instructions, scripts, references, and assets for Apex, Flow, SOQL, Lightning, Agentforce, metadata, permissions, integrations, and other Salesforce work.
Setup
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LLM Tools
★ 10k
▲18/7d
· Python
adk-samples
google/adk-samples is a collection of small agents and larger recipes built with Google's Agent Development Kit. Its curated `core` examples teach patterns such as OAuth, memory, safety, research, and retrieval, while `contrib` holds community examples for particular workflows.
Setup
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Verdict inside
LLM Tools
★ 3.8k
▲40/7d
· Rust
lean-ctx
LeanCTX is a local Rust layer between AI coding agents and the code, shell output, and model requests they consume. Its MCP server, shell hooks, session store, and optional provider proxy try to send less repeated material while preserving a route back to the original content. It also records context budgets, token use, and accepted outcomes.
Setup
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LLM Tools
★ 40k
▲122/7d
· Python
LightRAG
LightRAG turns a document collection into both a semantic search index and a map of entities and relationships, then uses both to find context for language-model answers. It is for questions that depend on connections spread across several passages, where ordinary similarity search can miss the relationship.
Setup
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LLM Tools
★ 14k
▲105/7d
· Python
agent-framework
Microsoft Agent Framework is a Python and .NET toolkit for building AI agents and joining them into stateful workflows. It supplies the machinery around model calls, including tools, middleware, checkpoints, streaming, human approval, tracing, and hosting patterns.
Setup
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LLM Tools
★ 16k
▲58/7d
· Go
mcp-toolbox
MCP Toolbox for Databases is a Go server that gives AI clients controlled access to databases through the Model Context Protocol. It supplies ready-made database tools and lets teams define narrower SQL, search, and administrative actions in YAML instead of handing an assistant a raw connection.
Setup
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Verdict inside
LLM Tools
★ 6.6k
▲175/7d
· Go
engram
Engram gives coding agents a persistent memory store backed by SQLite and FTS5. A single Go binary exposes that memory through MCP, a CLI, a terminal interface, and an optional HTTP or cloud layer, so work from one session can be found in the next.
Setup
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LLM Tools
★ 477 · JavaScript
v4-flash-godmode-opencode-go
This project's supplied documentation is primarily in Chinese, and no English documentation is evidenced in the material provided. It is a temporary opencode-go adaptation of an early routing approach intended to improve DeepSeek V4 Flash under guided conditions, but its maintainer says development has ended and directs users to the original project.
Setup
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LLM Tools
★ 9.6k
▲62/7d
· TypeScript
DesktopCommanderMCP
Desktop Commander is an MCP server that lets an AI client read and edit local files, search folders, run terminal commands, manage processes, and work with spreadsheets, PDFs, and Word documents. It turns Claude Desktop, Claude Code, Codex, and other MCP clients into operators of the computer where the server runs.
Setup
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LLM Tools
★ 13k
▲45/7d
· JavaScript
claude-code-system-prompts
Claude Code System Prompts is an unofficial, versioned archive of prompt text extracted from Claude Code's compiled npm package. It separates hundreds of system instructions, tool descriptions, agent prompts, reminders, skills, and data blocks into searchable Markdown files so researchers and prompt authors can see what changed.
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LLM Tools
★ 1.2k · Python
book-to-skill
book-to-skill converts technical books and folders of documentation into structured agent skills with an index, chapter notes, a glossary, patterns, and a cheat sheet. It is meant to solve a familiar retrieval problem: useful material is sitting in a file, but finding and applying the relevant section while working takes too much effort.
Setup
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LLM Tools
★ 2.6k
▲31/7d
· Shell
claudish-to-english
claudish-to-english is a Claude Code plugin that rewrites assistant messages in plain English before displaying them. It leaves Claude's original response and saved transcript untouched, while using Ollama locally by default or an Anthropic or OpenAI-compatible API to produce a more readable version.
Setup
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LLM Tools
★ 8.0k
▲126/7d
· Go
bifrost
Bifrost is a self-hosted gateway that gives applications one API for more than 23 model providers. It centralizes credentials, request translation, retries, fallbacks, budgets, logs, plugins, and MCP tools so each application does not have to implement those controls separately.
Setup
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LLM Tools
★ 31k
▲184/7d
· JavaScript
agent-skills
Vercel Agent Skills is an English-language collection of instruction packages and helper scripts for coding agents. Its documented skills teach agents how to review React, React Native, interfaces, and writing, audit Vercel projects, work with view transitions and composition, or deploy an application to Vercel.
Setup
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LLM Tools
★ 7.2k
▲41/7d
· JavaScript
dsh-routing-suite
dsh-routing-suite is a Chinese-first extension suite for DeepSeek Harness, with a complete English README available. It combines a runtime plugin injector with presets that classify a task and change the agent's reasoning persona, tool exposure, and reminders during a session.
Setup
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LLM Tools
★ 26k
▲1.6k/7d
· TypeScript
dsh-desktop
DSH Desktop is a Chinese-first desktop wrapper for DeepSeek Harness, with an English README and English release notes available. The repository now redirects to `anywhere-labs/dsh-desktop`; it packages the upstream agent, web interface, host service, and plugin system as Windows and macOS applications with profiles, a tray, terminal access, updates, and a plugin market.
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LLM Tools
★ 22k
▲37/7d
· TypeScript
NemoClaw
NVIDIA NemoClaw is a reference stack for running OpenClaw, Hermes, or LangChain Deep Agents Code inside NVIDIA OpenShell sandboxes. Its CLI combines onboarding, managed inference, network policy, integrations, snapshots, and lifecycle operations so an agent gets bounded host and network access.
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LLM Tools
★ 30k
▲2.8k/7d
· C
colibri
Colibri is a compact C inference engine that streams mixture-of-experts model weights across storage, system memory, and optional GPU memory. It is built for running unusually large open-weight models on hardware that cannot keep every expert in fast memory, with chat, server, web, and planning commands around the engine.
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LLM Tools
★ 33k
▲300/7d
· TypeScript
openclaude
OpenClaude is a terminal coding agent derived from Claude Code and adapted to work with many cloud APIs, gateways, Codex authentication, Gemini, GitHub Models, and local model servers. It keeps prompts, file and shell tools, subagents, MCP, slash commands, background jobs, and streaming output in one interface while letting the user choose the model provider.
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LLM Tools
★ 33k
▲56/7d
· Rust
zeroclaw
ZeroClaw is a self-hosted personal assistant that connects language models to chat channels, local tools, browser tasks, memory, and scheduled procedures. One Rust program can answer through services such as Telegram or Matrix, use hosted or local models, and ask for approval before riskier actions.
Setup
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LLM Tools
★ 7.6k
▲131/7d
· JavaScript
awesome-free-llm-apis
Awesome Free LLM APIs is a curated English-language catalog of hosted text-model APIs with recurring free access. It puts signup links, API base URLs, model names, context sizes, output limits, modalities, and quotas in one place, so developers can shortlist providers without opening a dozen pricing pages.
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LLM Tools
★ 223k
▲6.3k/7d
· TypeScript
deepseek-harness
DeepSeek Harness is an open source coding-agent runtime with a local web interface, headless mode, model adapters, tools, sessions, approvals, sandboxing, and MCP client support. Its defining idea is that nearly every part of the agent loop is a replaceable Cordis plugin, so developers can change behavior through composition instead of forking a fixed core.
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LLM Tools
★ 5.7k
▲39/7d
· Go
llama-swap
llama-swap is a local reverse proxy that starts the right AI model server when a request names a model and stops conflicting servers when memory is needed elsewhere. It gives OpenAI- and Anthropic-compatible clients one address for text, embeddings, audio, images, reranking, and several local backends without keeping every model loaded at once.
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LLM Tools
★ 5.8k
▲110/7d
· Go
semantic-router
vLLM Semantic Router sits between applications and several language-model backends, then chooses or combines model paths from request signals and policy. It gives platform teams one place to encode decisions about cost, latency, privacy, safety, model capability, caching, and multi-model workflows.
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LLM Tools
★ 7.0k
▲396/7d
· JavaScript
munder-difflin
Munder Difflin is a local desktop control room for running several terminal coding agents, giving each one a mailbox, shared memory, worktree, task board, and pixel-art desk. It solves the coordination problem that appears when Claude Code, Codex, Copilot, and other command-line agents work in parallel and someone still needs to route tasks, watch costs, and review their work.
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LLM Tools
★ 36k
▲1.3k/7d
· Rust
llmfit
llmfit is a terminal tool that detects your RAM, CPU, GPU, and local model runtimes, then ranks language models by whether they should fit and how they may perform. It helps you narrow a crowded model catalog before downloading large weights, and it can benchmark a model against a running provider afterward.
Setup
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LLM Tools
★ 8.5k
▲46/7d
· Python
slime
slime is a framework for improving large language models with reinforcement learning after initial training. It connects Megatron training, SGLang rollouts, rewards, checkpoints, and custom agent environments in one distributed loop for teams that would otherwise assemble those systems themselves.
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LLM Tools
★ 22k
▲153/7d
· Python
omlx
oMLX is a local inference server for running language, vision, embedding, and reranking models on Apple Silicon Macs. It supplies OpenAI- and Anthropic-compatible APIs, continuous batching, RAM and SSD prompt caching, model management, and a native menu-bar application.
Setup
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Verdict inside
LLM Tools
★ 6.7k
▲557/7d
· Rust
ai-memory
ai-memory is a self-hosted service that records coding-agent activity, compiles it into a searchable Markdown wiki, and hands a bounded summary to a later session. It is built for developers moving work between Claude Code, Codex, and other agent clients who are tired of repeating decisions and failed approaches.
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LLM Tools
★ 14k
▲14/7d
· Go
opencode
OpenCode is an archived Go terminal agent that could chat with several model providers, edit files, run shell commands, use language servers, and connect to MCP servers. The original author moved active development to Charm's Crush project, so this repository now exists for provenance rather than new installations.
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LLM Tools
★ 25k
▲246/7d
· Python
distilly
Colleague Skill has been renamed Distilly. It turns messages, documents, interviews, and public sources into a portable Person Profile that Claude Code, Codex, and other skill-aware agents can load to imitate a person's working preferences or communication patterns without claiming to clone that person.
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LLM Tools
★ 37k
▲951/7d
· Python
OpenViking
OpenViking is a context database for AI agents that stores resources, memories, and skills behind file-like `viking://` paths. It gives an agent one place to browse, search, and retain context, with shorter summaries loaded before full documents.
Setup
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Verdict inside
LLM Tools
★ 6.1k
▲29/7d
·
awesome-deepseek-agent
Awesome DeepSeek Agent is a bilingual collection of setup guides for using DeepSeek models inside coding assistants and general agent tools. It solves a fiddly configuration problem by putting working installation, API-key, model, and first-run instructions for 22 tools in one place.
Setup
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LLM Tools
★ 44k
▲44/7d
· Go
Fabric
Fabric is a command-line tool and prompt library for running repeatable AI tasks such as summarizing text, extracting ideas, analyzing claims, and processing video transcripts. It packages named Markdown prompts, called Patterns, so the same workflow can be piped through different local or hosted models.
Setup
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LLM Tools
★ 945
▲35/7d
· Python
Automodel
NeMo AutoModel is NVIDIA's PyTorch training library for pretraining and fine-tuning language, vision-language, diffusion, and retrieval models from Hugging Face checkpoints. YAML recipes separate model and training choices from distributed layouts, so the same code can move between one GPU and multi-node jobs.
Setup
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Verdict inside
LLM Tools
★ 6.3k
▲17/7d
· TypeScript
Kun
Kun is a Chinese-first, local AI-agent workbench for coding, design, writing, document analysis, and automation through a shared desktop and terminal runtime. A full English README and English guides exist, so English-speaking users can evaluate and operate it without translating the main Chinese page.
Setup
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Verdict inside
LLM Tools
★ 3.2k
▲48/7d
· Go
cc-skills-golang
cc-skills-golang is a collection of reusable instructions that teach coding agents how to handle Go style, architecture, testing, security, performance, and popular libraries. It gives Claude Code and other Agent Skills-compatible assistants a reviewed Go playbook instead of relying only on the model's general training.
Setup
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Verdict inside
LLM Tools
★ 9.2k
▲29/7d
· Rust
baml
BAML is a programming language and toolchain for defining typed LLM functions, prompts, provider settings, tests, and generated application clients. It is meant to replace hand-written provider calls and JSON cleanup with one schema that can generate clients for languages including Python, TypeScript, Go, Java, C#, Ruby, and Rust.
Setup
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LLM Tools
★ 9.9k
▲144/7d
· Python
omnigent
Omnigent is an alpha-stage control layer for running Claude Code, Codex, Cursor, OpenCode, Hermes, Pi, and custom agents through shared sessions. It gives teams one place for terminals, web and mobile access, policies, cloud sandboxes, and multi-agent delegation.
Setup
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Verdict inside
LLM Tools
★ 3.0k
▲263/7d
· Rust
Switchyard
Switchyard is a Rust proxy and library that routes language-model requests across providers while translating OpenAI and Anthropic API formats. It lets an application keep one client protocol while choosing backends through random splits, classifiers, conversation signals, or custom Rust code.
Setup
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LLM Tools
★ 15k
▲128/7d
· Python
claude-obsidian
claude-obsidian is a local knowledge system that uses Claude Code or another Agent Skills host to turn source material into linked, cited Obsidian notes. It keeps Markdown, captured sources, provenance records, and transaction data in a vault the user owns.
Setup
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LLM Tools
★ 13k
▲3/7d
· Python
open_deep_research
Open Deep Research is a configurable LangGraph agent that searches, summarizes sources, coordinates research work, and writes a report. It can use several model providers, native web search, Tavily, or MCP tools, but the GitHub repository is now archived and read-only.
Setup
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LLM Tools
★ 38k
▲140/7d
· Python
dspy
DSPy is a Python framework for expressing language-model programs as typed modules and then optimizing their instructions or examples against a metric. It replaces hand-edited prompt strings with reusable signatures, predictors, retrieval steps, agents, and optimizers.
Setup
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Verdict inside
LLM Tools
★ 9.1k
▲21/7d
· Python
PraisonAI
PraisonAI is a Python and JavaScript framework for building agents that call language models, tools, MCP servers, memory stores, and other agents. It packages single-agent prompts, multi-agent graphs, approval hooks, execution limits, dashboards, and remote runtimes under one project.
Setup
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LLM Tools
★ 24k
▲302/7d
· Python
hindsight
Hindsight is a memory server for AI agents that stores facts and experiences, retrieves relevant material, and maintains synthesized knowledge as new information arrives. It can sit behind agent frameworks, coding assistants, an MCP client, or a custom application through Python, Node.js, Go, CLI, and REST clients.
Setup
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LLM Tools
★ 152k
▲1.1k/7d
· Shell
agency-agents
Agency Agents is a large collection of role-specific instruction files for coding assistants and other agent tools. It gives Claude Code, Codex, Cursor, Gemini CLI, and several peers reusable personas, workflows, deliverables, and review rules instead of asking users to write each role prompt themselves.
Setup
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LLM Tools
★ 5.1k
▲25/7d
· Python
code-graph-rag
Code-Graph-RAG turns a mixed-language repository into a graph of files, symbols, calls, imports, and data flow, then lets people or coding agents query and edit it. It uses Tree-sitter and language-specific analysis, stores the graph in Memgraph, and can expose its tools to Claude Code and other MCP clients.
Setup
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LLM Tools
★ 6.7k
▲272/7d
· Go
gentle-ai
Gentle AI configures AI coding tools already installed on a developer's machine. It adds shared workflows, persistent memory, optional spec-driven work, skills, MCP connections, model routing, personas, and an opt-in review system across clients such as Claude Code, OpenCode, Cursor, Codex, and Gemini CLI. It is not an AI agent runtime.
Setup
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Verdict inside
LLM Tools
★ 26k
▲919/7d
· TypeScript
freellmapi
FreeLLMAPI is a self-hosted gateway that puts many providers' free AI tiers and custom OpenAI-compatible services behind one API. It stores provider keys locally, tracks quotas, and switches models or providers when a request hits a limit, aiming at personal experimentation rather than production traffic.
Setup
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Verdict inside
LLM Tools
★ 207k
▲1.2k/7d
· TypeScript
opencode
OpenCode is an open-source coding agent available in a terminal and a beta desktop app. It lets a chosen language model inspect code, edit files, run commands, call subagents, and use MCP tools under configurable permissions.
Setup
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Maturity
Verdict inside
LLM Tools
★ 4.4k
▲17/7d
· Kotlin
embabel-agent
Embabel Agent is a Kotlin and Java framework for building AI agents as typed goals, actions, conditions, and domain objects. Its planner chooses a route through the actions at runtime, letting Spring teams mix ordinary application code with model calls without encoding every flow as a fixed sequence.
Setup
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LLM Tools
★ 105k
▲2.0k/7d
· Python
TradingAgents
TradingAgents is a Python research framework that asks a group of language-model agents to analyze a ticker, argue the bull and bear cases, and return a five-level portfolio rating. It combines market, company, news, social, macro, and prediction-market inputs so a developer can study an agent-based research process without wiring the whole workflow. Execution is simulated; the project does not connect to a brokerage account.
Setup
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Maturity
Verdict inside
LLM Tools
★ 3.8k
▲72/7d
· Clojure
swarm-forge
SwarmForge is a local orchestration platform for coordinating teams of AI agents to perform software development tasks. It uses common command-line tools like tmux and git to create isolated, observable workspaces for each agent, solving the problem of agents interfering with each other's work.
Setup
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LLM Tools
★ 21k
▲500/7d
· TypeScript
prime-agent
Prime Agent is a terminal coding and research agent built for jobs that continue across long sessions. It gives the model a persistent Python environment, real subagents, background execution, schedules, and a supplemental memory and skill system that can be refined and rolled back.
Setup
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Maturity
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LLM Tools
★ 14k
▲99/7d
· Python
agents
LiveKit Agents is a Python framework for server-side voice and video agents that join real-time rooms as programmable participants. It connects speech recognition, language models, speech synthesis, turn detection, telephony, client apps, and MCP tools around a shared session and job runtime.
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LLM Tools
★ 88k
▲858/7d
· TypeScript
OpenHands
OpenHands now centers on Agent Canvas, a self-hosted control panel for running coding agents and scheduled automations. It can operate the OpenHands agent, Claude Code, Codex, Gemini, or another Agent Client Protocol backend from one interface, on a laptop or remote server.
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LLM Tools
★ 34k
▲398/7d
· Jupyter Notebook
airllm
AirLLM runs language models that are too large to fit in GPU memory by loading their weights a layer, or one routed expert, at a time. It trades inference speed and heavy disk use for the chance to run models such as 70B-class systems on consumer hardware.
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★ 20k
▲283/7d
· Rust
jcode
jcode is a Rust terminal coding agent with persistent sessions, semantic memory, multiple model providers, browser control, and coordinated agent swarms. It is meant to replace a pile of separate coding-agent utilities with one client that can run interactively, headlessly, or through a persistent server.
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★ 166k
▲504/7d
· Python
transformers
Transformers is a Python library that defines and runs pretrained models for text, images, audio, video, and mixed-media tasks. It gives researchers and product teams common loading, preprocessing, inference, and training APIs across a very large model catalog.
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★ 76k
▲249/7d
· Python
unsloth
Unsloth is a desktop app, web interface, and Python package for running and training local language, image, audio, embedding, and diffusion models. It tries to put model downloads, chat, fine-tuning, data preparation, export, agent connections, and local serving in one place.
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★ 36k
▲61/7d
· TypeScript
continue
Continue is an Apache-licensed coding agent available as a command-line tool, a VS Code extension, and a JetBrains plugin. It lets developers connect a coding workflow to language models, but its maintainers now describe the repository as read-only and version 2.0.0 as the final release.
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★ 68k
▲273/7d
· TypeScript
cline
Cline is an open-source coding agent that works in a terminal, VS Code, JetBrains IDEs, or through a Node.js SDK. It can inspect a repository, edit files, run commands, call MCP tools, and keep long tasks moving while giving the user a choice between approvals and unattended execution.
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★ 88k
▲858/7d
· TypeScript
OpenHands
OpenHands now centers on Agent Canvas, a self-hosted control panel for running coding agents and scheduled automations. It can operate the OpenHands agent, Claude Code, Codex, Gemini, or another Agent Client Protocol backend from one interface, on a laptop or remote server.
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LLM Tools
★ 115k
▲1.0k/7d
· Python
browser-use
Browser Use is a Python library and coding-agent skill that lets a language model inspect web pages, click controls, enter text, download files, and return structured results. It is for browser tasks where the steps cannot be captured easily with fixed selectors, and it can run with a local browser or the company's hosted browser service.
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LLM Tools
★ 61k
▲89/7d
· Python
autogen
AutoGen is a Python and .NET framework for building agents that exchange messages, call tools, and divide work across a team. Microsoft has put it in maintenance mode and directs new projects to Microsoft Agent Framework, so AutoGen now makes most sense for existing deployments and migration work.
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★ 58k
▲223/7d
· Python
crewAI
CrewAI is a Python framework for arranging language-model agents into teams and placing their work inside event-driven flows. It tackles jobs where one prompt is too limited, especially when separate roles, tools, state, branching, or human review need to share one workflow.
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★ 55k
▲21/7d
· TypeScript
Flowise
Flowise is a visual builder for AI agents and model-backed workflows. It lets people connect models, data sources, tools, conditions, and human input on a canvas, then expose the result through an application or API.
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★ 10k
▲8/7d
· Java
copilot-sdk
GitHub Copilot SDK embeds the agent runtime behind Copilot CLI into applications written in TypeScript, Python, Go, .NET, Java, or Rust. It handles sessions, planning, tools, file edits, custom agents, skills, hooks, and MCP connections through a CLI server controlled by the SDK.
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LLM Tools
★ 36k
▲649/7d
· PowerShell
reverse-skill
reverse-skill is not a single piece of software, but a structured framework of playbooks and scripts for cybersecurity. It acts as a "router" to guide AI agents, and their human operators, through complex tasks like reverse engineering or penetration testing, ensuring the right tools and methodologies are used for specific targets like APKs, binaries, or web apps.
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LLM Tools
★ 156k
▲543/7d
· TypeScript
dify
Dify is a visual platform for building applications around language models, retrieval, tools, and multi-step workflows. It gives product teams one place to design prompts, connect model providers, index documents, expose APIs, and inspect production runs.
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★ 52k
▲74/7d
· Python
llama_index
LlamaIndex is a Python framework for building applications that retrieve private data, call models and tools, and run agent workflows. It saves teams from wiring every document reader, index, retriever, model provider, and vector store by hand.
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★ 146k
▲282/7d
· Python
langchain
LangChain is a Python framework for connecting language models to tools, retrieval systems, structured outputs, and agent loops through shared interfaces. It helps teams change providers and compose common AI application parts without writing every adapter themselves.
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★ 43k
▲331/7d
· TypeScript
LibreChat
LibreChat is a self-hosted chat and agent workspace that puts many hosted and local AI providers behind one web interface. It gives teams their own accounts, conversations, agents, MCP tools, file workflows, and admin controls instead of making everyone work from separate vendor apps.
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★ 82k
▲117/7d
· TypeScript
lobehub
LobeHub, formerly published at lobehub/lobe-chat, is a web and desktop workspace for creating agents, grouping them into teams, scheduling work, and connecting them to model providers and tools. It is meant to replace a pile of separate chat tabs with projects, shared context, editable memory, and agents that can keep working after you leave.
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LLM Tools
★ 66k
▲188/7d
· JavaScript
anything-llm
AnythingLLM is a desktop and self-hosted chat application that connects language models to your documents, tools, and shared workspaces. It gives people a ChatGPT-style interface while letting the operator choose local models, cloud providers, embedding engines, and vector storage.
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★ 49k
▲110/7d
· Go
LocalAI
LocalAI is a self-hosted AI server that puts text, vision, speech, image, video, agents, and MCP tools behind familiar APIs. It solves the awkward job of operating several model engines by downloading separate backends only when a chosen model needs them.
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★ 165k
▲62/7d
· Python
stable-diffusion-webui
Stable Diffusion WebUI is a local browser interface for generating and editing images with Stable Diffusion models. It gathers prompting, inpainting, upscaling, model switching, training utilities, and community extensions in one Gradio application.
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★ 133k
▲843/7d
· Python
ComfyUI
ComfyUI is a local visual workspace for building image, video, audio, 3D, and text generation pipelines as node graphs. It solves the problem of reproducing a complicated generative workflow without hiding models, parameters, or processing steps behind a single prompt box.
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★ 152k
▲525/7d
· Python
open-webui
Open WebUI is a self-hosted chat and workspace interface for local models, OpenAI-compatible services, documents, tools, and shared teams. It gives people one browser-based home for several AI backends instead of tying every conversation to a provider's own app.
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★ 92k
▲380/7d
· Python
vllm
vLLM is an inference engine and API server for running large language models on your own hardware. It handles batching, model memory, parallel execution, and common model APIs so teams do not have to build a serving layer around raw model code.
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★ 128k
▲577/7d
· C++
llama.cpp
llama.cpp runs language and vision-language models on local machines and servers through a C++ inference engine. It solves the practical problem of using quantized models across CPUs, Apple Silicon, and several GPU backends without depending on a hosted model API.
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★ 181k
▲353/7d
· Go
ollama
Ollama runs downloadable language and vision models on your own computer and exposes them through a command line and local REST API. It solves the fiddly parts of obtaining model files, choosing a runtime, and keeping a model available for apps that should not depend entirely on a hosted API.
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