SuperAGI
A dev-first framework for building and running autonomous AI agents.
AutoGPTは、Significant-Gravitasが公開しているオープンソースのAIエージェントプロジェクトです(GitHub: Significant-Gravitas/AutoGPT)。GitHubスターは187,483、フォークは45,937で、NOASSERTIONライセンスの下で公開されています。GitHubでの最終更新は2026年10月8日です。
The open-source platform for building and running autonomous AI agents, hosted or self-hosted
Decide what you want from AutoGPT and check the README and requirements to confirm it fits your setup and Python environment.
Clone the repository from GitHub (github.com/Significant-Gravitas/AutoGPT) or use the documented install channel if you do not need the source.
Follow the README quickstart to install dependencies and set any required configuration or credentials.
Work through the README's first example end to end, then adapt it to your own project or data.
Build, deploy and run continuous autonomous agents on the AutoGPT Platform rather than one-off scripts.
The README describes four surfaces sharing one platform, including the hosted product and self-hosting.
Automate multi-step tasks by composing agent blocks and integrations instead of writing glue code.
Connects to external services and APIs through the platform's integration blocks.
Self-hosting is the free path: you run the Docker-based stack and provide your own infrastructure and keys.
The repo also preserves the original AutoGPT Classic agent for reference and experimentation.
Start by getting the source and entering the project directory.
git clone https://github.com/Significant-Gravitas/AutoGPT.git
cd AutoGPTSelf-hosting uses the release installer, which requires an already-running local Docker daemon.
# see README for the exact command — Self-host AutoGPT sectionNo install needed: sign up for the hosted, managed AutoGPT Platform instead of running Docker yourself.
# open https://agpt.co and sign up for the managed PlatformIt is maintained by Significant-Gravitas and contributors on GitHub, where the repository github.com/Significant-Gravitas/AutoGPT is the canonical home for code, issues and releases.
Yes — it is open source under the NOASSERTION license. Read the license in the repository for what is permitted, including any conditions on redistribution or commercial use.
Yes for self-hosting — you provide your own model API keys and infrastructure. The managed hosted platform is a paid product.
Compared with LangChain agents: AutoGPT focuses on a ready-to-run platform with a hosted option and visual automation, while LangChain is a developer framework for building agents in code.
Clone github.com/Significant-Gravitas/AutoGPT, follow the README quickstart to install it, and run the documented first example before adapting it to your own work.
A dev-first framework for building and running autonomous AI agents.
Autonomous AI agents for penetration testing — self-hosted, multi-agent, with a full web UI
Open-source AI-driven development platform: autonomous software agents in a sandbox
The open runtime for AI agents — a Rust platform for running, governing and routing agents with TokenOps.
Self-hosted AI vulnerability research: agents find, validate, deduplicate, and rank real security issues.
Self-hosted ai agents: minimal ai coding agent (~1,000 lines of python) inspir.
LibreAIカタログに掲載されたAIエージェントプロジェクトの中で最もスターの多いもの — AutoGPTが合わなかった場合に検討したい、現実的な候補リストです。
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.
カタログの中でAutoGPTとスター数が近いAIエージェントプロジェクト — 前後の棚もそのまま見て回れます。
Turn any website into clean, agent-ready data with one API.
f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete…
DeepSeek's plugin-based agent harness where everything is a plugin.
Skills and plugins that teach coding agents to write less, better code.
The agent that grows with you — a Python framework for adaptive AI agents.
The agent engineering platform