Langgraph
Build resilient agents
burr — проект с открытым исходным кодом из категории «ИИ-агенты» от apache (apache/burr на GitHub). У него 2 566 звёзд на GitHub и 199 форков, он распространяется по лицензии Apache-2.0 и последний раз обновлялся на GitHub 29 сентября 2026.
Apache framework for apps that make decisions: agents, chatbots, simulations.
Model your app as states and transitions.
Attach logic to each state.
Execute on your own infrastructure.
Watch decisions with built-in tooling.
Explicit, debuggable agent logic.
Foundation-backed governance.
Your infrastructure, your data.
See every decision the app made.
State survives restarts.
Test decision flows safely.
Download the source and move into the project folder.
git clone https://github.com/apache/burr.git
cd burrEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project’s launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandThe Apache Software Foundation, at apache/burr.
Yes. Apache-2.0 licensed.
Similar graph idea, with Apache governance and its own execution model.
Yes. It is a Python framework.
It is an Apache project built for real deployments.
Build resilient agents
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai
Open Source framework for voice agents, multimodal apps, and realtime AI. Maintained by Daily and the community
The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.
Vercel’s SDK for durable, reliable, observable apps and AI agents in TypeScript.
Другие проекты из категории «ИИ-агенты» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если burr вам не подходит.
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
Соседние проекты из категории «ИИ-агенты» в каталоге, ближайшие по числу звёзд к burr — продолжайте изучать полку по обе стороны от него.
Offline multi-agent simulation and prediction engine: Neo4j plus Ollama, local.
Simple desktop AI assistant with knowledge bases, agents, and web search.
Chinese guide to building production-grade AI agents with LangChain and LangGraph.
Open skill that turns novels and stories into multi-episode video storyboards.
Modular Python framework for AI agents and workflows with tools and memory.
Self-hosted MCP gateway and control plane — connect, control and operate all your MCP servers from one place
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.