AI channel

Open-source AI, understood in seconds

Most of the open-source projects we track are now AI projects: agent frameworks, servers that connect tools to language models, retrieval pipelines and complete LLM applications. Each one has a plain-language analysis of what it does, how it works and where it falls short, written from its own GitHub repository.

Start with the topic that matches your problem. Software that takes actions on its own is under AI agents. Connecting an assistant such as Claude or Cursor to a tool or a data source is MCP. Making a model answer from your own documents is RAG. Everything else built on a language model is under LLM apps.

Browse by topic

3,062 projectsAI agentsAn AI agent is a program that uses a language model to decide what to do next, calls tools such as a browser, a code interpreter or an API, and repeats until the task is done. The projects here range from frameworks for building your own agents to finished agents that write code, browse the web or run business workflows.See all 3,062 578 projectsMCP serversMCP, the Model Context Protocol, is an open standard for connecting AI assistants to outside tools and data. An MCP server exposes something, such as a database, a browser, a GitHub account or a folder of files, as tools the assistant can call. Clients such as Claude Desktop, Cursor and VS Code load these servers.See all 578 596 projectsRAGRetrieval-augmented generation (RAG) makes a language model answer from your own documents. The text is split into chunks, turned into vectors and stored in an index, and the most relevant chunks are added to the prompt when a question comes in. The projects here cover the whole pipeline or one part of it: document parsing, vector search, or a complete question-answering app.See all 596 3,547 projectsLLM appsThis is the broadest group: chat interfaces, SDKs and frameworks, prompt and evaluation tools, and applications built on large language models. Many work with models from several providers, and some can run models on your own hardware.See all 3,547

Rising this week

The open-source AI projects that gained the most GitHub stars in the last seven days.

ayghri

i-have-adhd

★ 46,117

A skill for your coding agent to stop it from burying the answer. ADHD-friendly output.

+12,348 this weekPython

debpalash

OmniVoice-Studio

★ 28,800

Local voice clone, video dubbing, dictation and audiobook maker. The open-source ElevenLabs alternative.

+7,068 this weekPython

DietrichGebert

ponytail

★ 139,206

Ponytail adds YAGNI-focused review instructions that push coding agents to remove unnecessary abstractions and avoid speculative code.

+6,006 this weekJavaScript

alibaba

open-code-review

★ 27,970

Alibaba Open Code Review combines deterministic checks with a language-model agent to produce line-level findings for issues such as null access, concurrency errors, XSS, and SQL injection.

+5,822 this weekGo

mattpocock

skills

★ 262,731

This repository collects Matt Pocock's reusable agent skills for TypeScript, testing, debugging, and day-to-day software work.

+5,020 this weekShell

stablyai

orca

★ 69,380

Orca is a desktop and server workspace for launching, monitoring, and coordinating multiple coding-agent sessions.

+4,428 this weekTypeScript

affaan-m

ECC

★ 259,066

ECC supplies agent skills, security checks, memory patterns, and research workflows aimed at reducing wasted context during coding sessions.

+4,113 this weekJavaScript

obra

superpowers

★ 287,068

Superpowers packages repeatable engineering practices as agent skills, covering design, planning, testing, debugging, review, and branch completion.

+3,183 this weekShell

diegosouzapw

OmniRoute

★ 66,521

OmniRoute exposes one OpenAI-compatible endpoint for multiple model providers, with quota-aware routing, automatic fallback, and optional response compression.

+3,143 this weekTypeScript