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Open Source Code

GitHub AI Repos

Discover popular open-source AI projects. Explore libraries, runtimes, agents, databases, and frameworks categorized by programming languages and GitHub stars.

LaVague

by lavague-ai

Large Action Model framework to develop AI Web Agents

PythonApache-2.0
6,363
573
Details

trafilatura

by adbar

Python & Command-line tool to gather text and metadata on the Web: Crawling, scraping, extraction, output as CSV, JSON, HTML, MD, TXT, XML

PythonApache-2.0
6,072
379
Details

learn-ai-engineering

by ashishps1

Learn AI and LLMs from scratch using free resources

PythonGPL-3.0
5,682
1,399
Details

awesome-mcp-servers

by appcypher

Awesome MCP Servers - A curated list of Model Context Protocol servers

Python
5,592
1,665
Details

UltraRAG

by OpenBMB

A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines

PythonApache-2.0
5,576
427
Details

Yuxi

by xerrors

结合知识库、知识图谱管理的 多租户 Agent Harness 平台。 An agent harness that integrates a LightRAG knowledge base and knowledge graphs. Build with LangChain + Vue + FastAPI, support DeepAgents、MinerU PDF、Neo4j 、MCP.

PythonMIT
5,449
770
Details

potpie

by potpie-ai

Spec-driven development for large codebases

PythonApache-2.0
5,445
634
Details

awesome-ai-tools

by mahseema

A curated list of Artificial Intelligence Top Tools

PythonMIT
5,413
1,671
Details

TaskingAI

by TaskingAI

The open source platform for AI-native application development.

PythonApache-2.0
5,382
357
Details

MineContext

by volcengine

MineContext is your proactive context-aware AI partner(Context-Engineering+ChatGPT Pulse)

PythonApache-2.0
5,371
401
Details

superduper

by superduper-io

Superduper: End-to-end framework for building custom AI applications and agents.

PythonApache-2.0
5,289
541
Details

LLM-Engineers-Handbook

by PacktPublishing

The LLM's practical guide: From the fundamentals to deploying advanced LLM and RAG apps to AWS using LLMOps best practices

PythonMIT
5,092
1,221
Details

mini-swe-agent

by SWE-agent

The 100 line AI agent that solves GitHub issues or helps you in your command line. Radically simple, no huge configs, no giant monorepo—but scores >74% on SWE-bench verified!

PythonMIT
5,020
685
Details

nexent

by ModelEngine-Group

Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.

PythonMIT
4,961
628
Details

honcho

by plastic-labs

Memory library for building stateful agents

PythonAGPL-3.0
4,950
574
Details

semble

by MinishLab

Fast and Accurate Code Search for Agents. Uses ~98% fewer tokens than grep+read

PythonMIT
4,937
208
Details

solace-agent-mesh

by SolaceLabs

An event-driven framework designed to build and orchestrate multi-agent AI systems. It enables seamless integration of AI agents with real-world data sources and systems, facilitating complex, multi-step workflows.

PythonApache-2.0
4,819
260
Details

AutoRAG

by Marker-Inc-Korea

AutoRAG: An Open-Source Framework for Retrieval-Augmented Generation (RAG) Evaluation & Optimization with AutoML-Style Automation

PythonApache-2.0
4,815
403
Details

awesome-vibe-coding

by filipecalegario

A curated list of vibe coding references, collaborating with AI to write code.

PythonCC0-1.0
4,675
548
Details

Integuru

by Integuru-AI

The first AI agent that builds permissionless integrations through reverse engineering platforms' internal APIs.

PythonAGPL-3.0
4,616
360
Details

AI-Coding-Guide-Zh

by KimYx0207

Claude Code + OpenClaw + Codex 中文教程 | 39篇完整教程 + 1张速查卡 | 80万+内容量 | 1500+实操示例 | AI Coding / Agent 三线学习路径

PythonMIT
4,499
844
Details

ouroboros

by Q00

Agent OS: Stop prompting. Start specifying.

PythonMIT
4,489
446
Details

cognita

by truefoundry

RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry

PythonApache-2.0
4,412
389
Details

llm-twin-course

by decodingai-magazine

🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴

PythonMIT
4,352
726
Details
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