ИИ-агенты
AutoGPT
The open-source platform for building and running autonomous AI agents, hosted or self-hosted
★ 187,5 тыс. звёздNOASSERTION
Смотреть руководство →SuperAGI — проект с открытым исходным кодом из категории «ИИ-агенты» от TransformerOptimus (TransformerOptimus/SuperAGI на GitHub). У него 17 700 звёзд на GitHub и 2 223 форка, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 22 января 2025.
A dev-first framework for building and running autonomous AI agents.
Write down the task or workflow you want the agent to handle.
Clone the repository and read the README's prerequisites.
Install dependencies and configure keys or endpoints.
Run the sample script and check the output against the docs.
Goal-driven plan-and-execute agents.
Built for developers, with GUIs and toolkits.
Run and monitor multiple agents.
Extend agents with plugins and tools.
Permissive license.
A landmark of the 2023 agent wave.
Download the source and move into the project folder.
git clone https://github.com/TransformerOptimus/SuperAGI.git
cd SuperAGICreate a virtual environment and install the requirements.
python -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtTreat these as starting points - the README documents the exact commands.
python examples/quickstart.pyThe project lives at TransformerOptimus/SuperAGI and has attracted 2223 forks. Browse its commit history and contributor list for a sense of maintenance pace.
Yes - it is MIT licensed, so you can use, modify, and distribute it freely, including in commercial projects.
The framework itself is free - but you will need a model to drive it, which usually means your own API key or a local model.
The repo's last push was January 2025, so assume maintenance has stopped. For active development, look at currently-pushed frameworks in this collection instead.
The README and the official docs site are the fastest path: run the quickstart example first, then adapt it to your use case.
The open-source platform for building and running autonomous AI agents, hosted or self-hosted
EvoAgentX — a framework for building self-evolving ecosystems of AI agents.
A framework for building agents and services
Yohei Nakajima's autonomous task agent - now a self-building agent framework in Python
A Large Action Model framework for building AI web agents that browse and act for you.
Vercel's open framework for building agents that run anywhere.
Другие проекты из категории «ИИ-агенты» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если SuperAGI 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 SuperAGI — продолжайте изучать полку по обе стороны от него.
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
Agent-native memory infrastructure - structured, persistent memory for production agents
A production-grade platform for building agentic chat bots on every IM platform
A CLI that writes and maintains agent-ready docs for your codebase.
An open-source agent operating system in Rust - autonomous 'Hands' that do real work
Vector search plus structured filtering in one database.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.