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An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message…
strix est un projet de agents IA open source, créé par usestrix (usestrix/strix sur GitHub). Il compte 66 343 étoiles sur GitHub et 7 273 forks, il est publié sous la licence Apache-2.0 et a été mis à jour pour la dernière fois sur GitHub le 3 octobre 2026.
Open-source AI penetration testing tool to find and fix your app’s vulnerabilities.
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.
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.
Traces show exactly what the agent did and why.
Download the source and move into the project folder.
git clone https://github.com/usestrix/strix.git
cd strixEvery 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 usestrix/strix with 7,273 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 open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message…
Make humans and AI agents work as one team — open-source and self-hostable.
An agentic skills framework & software development methodology that works.
JADX plugin + MCP server that lets LLMs analyze Android APKs live — decompile, review, find vulnerabilities
Autonomous AI agents for penetration testing — self-hosted, multi-agent, with a full web UI
Automated penetration-testing agent framework powered by LLMs, published at USENIX Security 2024.
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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.