AIエージェント
superpowers
An agentic skills framework & software development methodology that works.
★ 294.9k スターMIT
ガイドを見る →agent-squadは、2FastLabs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: 2FastLabs/agent-squad）。GitHubスターは7,781、フォークは743で、Apache-2.0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2日です。
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
Research, coding, browsing, or ops — agents work best with a clear goal.
From no-code builders to code-first SDKs, match complexity to the task.
Web search, code execution, and APIs are what make agents useful.
Watch the trace, approve consequential actions, iterate.
Long-term memory across sessions, not goldfish chat.
Specialized agents collaborate on bigger jobs.
Agents call real tools: browsers, terminals, APIs.
Benchmarks keep agent quality measurable.
Run agents on your infra with your keys.
Swap frontier models as better ones appear.
Download the source and move into the project folder.
git clone https://github.com/2FastLabs/agent-squad.git
cd agent-squadEvery 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 commandAlso on this shelf: motorhead — a memory and retrieval server built for LLMs. Readers working through the AI Agents shelf also stop at bolna, open-source conversational voice AI agents. The AI Agents shelf also holds modelscan — its page carries the full write-up, install steps and GitHub numbers.
It is an open-source project at 2FastLabs/agent-squad with 743 forks. Check the repo's contributors and recent commits to see how active maintenance is.
Apache 2.0 licensed — commercial use allowed with attribution.
Sandboxing, approval gates, and least-privilege credentials.
Builders exist, but code-first frameworks go further.
Model API bills dominate; self-hosted stacks cut that sharply.
An agentic skills framework & software development methodology that works.
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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 — agent-squad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agent-squad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。
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A batteries-included browser API so agents can automate the web.
Upsonic — build autonomous AI agents in Python, with prebuilt agents, custom tools, MCP and OCR built in.
Honcho — Plastic Labs' memory library for stateful agents that learn about their users over time.
Production-ready agentic RAG behind a clean REST API.
Reef — infrastructure for continually self-improving agents: weight-training and harness-evolving deployments.