A skills set and methodology for coding agents: clarify the task, plan, write tests, then code. The agent works with more discipline.
The AI movement's repository database
The best AI repositories
224 living projects — from agent frameworks to prompt-injection defense. Each comes with our own note: why it matters, who it is for and how to start in three steps.
Stars, forks and activity refresh daily via the GitHub API · updated October 6, 2026
- repositories
- 224
- categories
- 11
- stars in total
- 11M
- new stars in 30 days
- +235K
Last 30 days
Growing fastest
The most new stars over the last 30 days.
A service that turns any website into clean Markdown or structured data for models. It can search, scrape, crawl a whole site and even click through a page.
A small Microsoft utility that converts PDF, Word, PowerPoint, Excel and other files into Markdown that is easy to hand to a language model.
An open coding agent for the terminal with a desktop app. It is not tied to one provider: plug in whichever models you have.
A toolkit for spec-driven development: principles and a spec first, then a plan and tasks, and only then code. Works with several coding agents.
OpenAI's lightweight coding agent that runs in the terminal and works on your project's code. Written in Rust.
Categories
Agent frameworksFrameworks and orchestration: what agents and multi-agent systems are built from.23 repositoriesCoding agents & CLIAgents that write code in the terminal and editor, and the methods for working with them.21 repositoriesMCPThe Model Context Protocol spec, official SDKs and the best servers.20 repositoriesOpen models & inferenceOpen weights, local runs, fast inference and fine-tuning.38 repositoriesRAG & vector DBsSearch over your own data: document parsing, crawlers, vector databases, knowledge graphs.19 repositoriesEvals & observabilityHow to measure a model or agent and see what happens inside it.17 repositoriesPrompting & contextPrompts, structured output, skills and context engineering.16 repositoriesVoice, video, multimodalSpeech recognition and synthesis, voice agents, images and video.19 repositoriesAutomationNo-code workflows, browser and computer-use agents.15 repositoriesAwesome lists & learningCourses, books and awesome lists worth starting with.21 repositoriesSecurityPrompt injection, guardrails, red teaming and agent scanners.15 repositoriesMissing your favorite?Suggest a repository — we will review it and add it if it earns a spot.Suggest a repo →
Catalog
23 repositories
A platform where you build agents in a visual builder or by describing them in plain words, then run them on a schedule or a trigger. Hosted version plus free self-hosting.
The best-known toolkit for LLM apps: one interface to dozens of models, plus tools, chains and agents. You can swap providers without rewriting the app.
A library that lets an agent drive a browser: open sites, click, fill in forms. Works with a local browser or a cloud one.
A multi-agent framework that plays out a whole software company: product manager, architect and engineer take roles and turn one sentence into a project together.
A memory layer for agents: it remembers facts about the user across sessions and pulls up the right ones at the right moment, keeping context small.
Microsoft's framework for agents that talk to each other. It has the high-level AgentChat API and AutoGen Studio, a no-code graphical interface.
A framework where agents get roles, goals and tasks and work like a small team. The mental model is simple: crew, roles, process.
A framework that connects an LLM to your own data: it reads documents, builds indexes and search, and can assemble agents on top.
A low-level library for agents modelled as a state graph. It gives you long-running flows, saved progress and pauses for human approval.
A framework and runtime for agent platforms: an SDK to build, AgentOS to serve agents as a service with an API, and a web UI to manage them. Your data stays with you.
OpenAI's lightweight SDK: agents, tools, handoffs between agents and guardrails. Few abstractions, so it is quick to learn.
A tiny Hugging Face library where the agent solves a task by writing its steps as Python code instead of JSON tool calls. Works with many models.
Microsoft's SDK for embedding LLMs into C#, Python and Java apps: plugins, planning and agents. Fits a corporate .NET stack well.
A TypeScript framework for agents and AI apps: agents, workflows, memory and quality evaluation in one place. A good fit for Node-based web teams.
The AI SDK from the makers of Next.js: one TypeScript interface to models, streaming, tool calling and React hooks. Switching providers takes one line.
A framework for assembling LLM apps from modular pipelines with explicit control over retrieval, routing and memory. Strong at RAG and search systems.
Formerly MemGPT: a platform for agents with long-term memory that learn from experience. Today it lives on as the Letta Code terminal client with a server mode.
An experimental framework for an agent that builds itself: functions live in a database, load automatically and come with a dashboard. The author warns it is for ideas, not production. The project kicked off the 2023 wave of autonomous agents.
Google's code-first agent framework: build agents in Python, run evaluations and deploy. Tuned for Gemini but works with other models too.
An agent framework from the makers of Pydantic: strict types in and out, many models, voice and embeddings. Mistakes surface before you run anything.
Isolated cloud sandboxes where an agent can safely run code and commands. One SDK call gives the model its own small computer.
Microsoft's newer framework for agents and multi-agent workflows in Python and .NET. It brings together ideas from AutoGen and Semantic Kernel.
The official Python SDK for running Claude Code as a library: the agent loop, file and shell tools, MCP. The CLI ships bundled inside the package.
Did we miss something?
Suggest a repository
Send a GitHub link and a few words on why it belongs here. Every suggestion is reviewed by hand — not everything gets in.