LLM apps

Open-source LLM apps and frameworks

This 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.

How to choose

For anything you plan to ship, check three facts first: the licence, because some popular projects restrict commercial use; whether it supports the model provider you already use; and whether it is still maintained. The At a glance box on every project page answers the licence and maintenance questions from GitHub data.

Most-starred projects

3,025–3,048 of 4,141

echoVic

boss-skill

★ 558

Boss Skill - BMAD 全自动研发流水线（多 Agent 编排）

TypeScript

Farzad-R

LLM-Zero-to-Hundred

★ 558

This repository contains different LLM chatbot projects (RAG, LLM agents, etc.) and well-known techniques for training and fine tuning LLMs.

Jupyter Notebook

freddy-schuetz

n8n-claw

★ 558

OpenClaw-inspired autonomous AI agent built entirely in n8n. Adaptive RAG-powered memory, Skills via MCP templates, Expert Agents with delegated sub-agents, proactive task management, media understanding - self-hosted with one setup script

Shell

rookiestar28

ComfyUI-OpenClaw

★ 558

Your own personal AIGC Factory. Any picture. Any reel. The Comfy way. ©️

Python

giselles-ai

giselle

★ 557

Giselle: AI App Builder. Open Source.

TypeScript

marcoaapfortes

Mantic.sh

★ 557

A structural code search engine for Al agents.

TypeScript

neo4j-labs

agent-memory

★ 557

A graph-native memory system for AI agents and context graphs. Store conversations, build knowledge graphs, and let your agents learn from their own reasoning — all backed by Neo4j.

Python

24kchengYe

human-skill-tree

★ 556

🌳 AI-Powered Skill Tree for Lifelong Human Learning. 30+ skills from K-12 to career & social intelligence, built on cognitive science. | 人类养成记：AI 驱动的终身学习技能树

TypeScript

Austin1serb

Anthropic-Leaked-Source-Code

★ 556

CLAUDE LEAK - Full Claude Leaked Source Code

TypeScript

facebookresearch

meta-agents-research-environments

★ 556

Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this platform introduces evolving environments where agents must adapt their strategies as new information becomes available, mirroring real-world challenges.

Python

FeijiangHan

PaperForge

★ 556

An active paper-reading skill that reconstructs author reasoning, explains methods mechanistically, stress-tests assumptions, and generates follow-up research ideas.

hhy-huang

HiRAG

★ 556

[EMNLP'25 findings] An easy-to-use Graph RAG system using hierarchical knowledge.

Python

LinklyAI

best-skills

★ 556

Daily-updated Top 100 Agent Skills rankings — installs, growth, and social buzz aggregated from skills.sh, ClawHub, Tencent SkillHub, GitHub, X and 10+ communities. Open data (CSV).

msitarzewski

agency-agents-app

★ 556

Agency Agents is a small, native app for browsing, installing, and tracking the agent personas from msitarzewski/agency-agents across the AI coding tools you actually use.

TypeScript

Taskosaur

★ 556

Open Source Project Management with Conversational AI Task Execution. Built for teams who want conversational workflow management alongside traditional PM features. Self-hostable with modular architecture.

TypeScript

BlockRunAI

Franklin

★ 555

The AI agent with a wallet — spends USDC autonomously to get real work done. Apache-2.0, TypeScript.

TypeScript

oliver-kriska

claude-elixir-phoenix

★ 555

Claude Code plugin for Elixir/Phoenix/LiveView — 26 specialist agents, Iron Laws enforcement, and Tidewave MCP integration. Plan features with parallel research agents, execute with automatic verification, review with 4-agent parallel audits, and capture learnings as reusable knowledge.

Python

backblaze-labs

genblaze

★ 553

Genblaze is an open source Python SDK for orchestrating generative AI media pipelines across video, audio, and image providers with built in provenance for every output.

Python

catlog22

maestro-flow

★ 553

Intent-driven workflow orchestration for multi-agent AI development — adaptive lifecycle engine, self-reinforcing knowledge graph, and visual dashboard for Claude Code, Gemini, Codex & more

TypeScript