A skills set and methodology for coding agents: clarify the task, plan, write tests, then code. The agent works with more discipline.
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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
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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.
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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 small Microsoft utility that converts PDF, Word, PowerPoint, Excel and other files into Markdown that is easy to hand to a language model.
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.
Anthropic's coding agent that lives in the terminal: it understands your project, edits files, runs commands and handles git from plain-language requests.
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.
A library that lets an agent drive a browser: open sites, click, fill in forms. Works with a local browser or a cloud one.
Google's open terminal agent: it connects Gemini to your codebase and can edit files, run commands and search the web.
Reference MCP servers from the protocol team: memory, git, filesystem and more. A solid pattern for how a server is built and a ready set to start with.
Parses complex PDFs, scans and Office files into Markdown or JSON while keeping tables and formulas. Comes with a CLI, a Python SDK and an agent skill.
A unified framework for fine-tuning 100+ models with no code: through a config-driven CLI or the LLaMA Board web UI. Supports LoRA and other methods.
An autonomous coding agent in three forms: IDE extension, CLI and SDK. It can run in the background, on a schedule and from chat apps.
A coding agent, a fork of Codex tuned for cheap and open models. It can emulate other agents' harnesses to get the most out of a weaker model.
An IBM library for document parsing: PDF, Office, HTML and images become one unified structure from which Markdown is easy to get. Supports vision models for hard pages.
Feeds fresh, version-specific library docs into the prompt so the model stops inventing outdated APIs. Works as an MCP server or through a CLI with a skill.
A curated list of skills, subagents, plugins, status lines and tools for Claude Code. A handy map of the ecosystem around the coding agent.
An open, extensible agent that goes beyond code: research, writing, automation. Works with 15+ providers and 70+ extensions through MCP.
Hands Chrome DevTools to an agent: network, console, performance, screenshots. The agent does not just click, it sees why a page is slow or broken.
One of the first terminal AI pair programmers: it edits your repo's files and makes git commits itself. Works with almost any model.
A Playwright-based MCP server that lets an agent drive a browser through page structure rather than screenshots. Good for testing sites and automating web actions.
A modular Microsoft system that builds an entity graph and community summaries from texts, so it can answer questions about a whole corpus rather than one passage.
An open coding agent as a VS Code extension, JetBrains plugin and CLI. The repo is frozen: version 2.0.0 was the final release, and the code now serves as a reference.
A long-term memory layer for agents: it remembers facts, links them into a graph and retrieves them on demand. The basic flow runs locally, even without an LLM key.
The easiest vector database to start with: it runs inside your app process, stores documents and finds similar ones. Great for prototypes, with a client-server mode and a cloud.
A polished terminal coding agent from the Charm team, written in Go: a neat interface, many models, MCP support. A single binary with no heavy dependencies.
A terminal coding agent from the Qwen team, tuned for their models but open and configurable. A good way to try open models in practice.
Tooling for computer-use agents: drivers for several OSes, virtual machines and benchmarks for training and evaluation.
A Python framework that hides the protocol plumbing: a decorated function becomes an MCP tool. The shortest path from idea to a working server.
An open agentic-engineering platform: CLI, IDE plugins and a cloud. One of the most popular open-source coding agents.
A command-line tool for testing prompts and agents: describe cases in a config and compare models. Also does red teaming and vulnerability scanning. Plugs into CI.
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