AI Agents
superpowers
An agentic skills framework & software development methodology that works.
★ 294.9k starsMIT
View guide →Flexible and powerful framework for managing multiple AI agents and handling complex conversations
agent-squad is an open-source ai agents project by 2FastLabs (2FastLabs/agent-squad on GitHub). It has 7,781 GitHub stars and 743 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 2 October 2026.
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 commandIt 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.
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Free and open — grab the source, star the repo, and start creating.