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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…
Open-source AI penetration testing tool to find and fix your app’s vulnerabilities.
strix is an open-source ai agents project by usestrix (usestrix/strix on GitHub). It has 66,343 GitHub stars and 7,273 forks, is released under the Apache-2.0 license, and was last updated on GitHub on 3 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.
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.
The most-starred other AI Agents projects in the LibreAI catalogue — the realistic shortlist if strix is not the right fit.
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.
Free and open — grab the source, star the repo, and start creating.