by archestra-ai
Enterprise AI Platform with guardrails, MCP registry, gateway & orchestrator
# Add to your Claude Code skills
git clone https://github.com/archestra-ai/archestraLast scanned: 4/21/2026
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}archestra is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by archestra-ai. Enterprise AI Platform with guardrails, MCP registry, gateway & orchestrator. It has 3,959 GitHub stars.
Yes. archestra passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/archestra-ai/archestra" and add it to your Claude Code skills directory (see the Installation section above).
archestra is primarily written in TypeScript. It is open-source under archestra-ai on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh archestra against similar tools.
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The all-in-one open-source enterprise AI platform.
Built on a strong security and observability foundation: SSO and RBAC, sandboxed code execution, Dual-LLM and Lethal-Trifecta guardrails, OpenTelemetry traces, and Prometheus metrics — first-class, not bolted on.
Quickstart · Docs · Releases · Slack
Point your users — or your agents, or Claude / Codex / Cursor — at one URL. Archestra handles the rest:
Already running dangerous single-tenant agents like Claude Cowork, OpenClaw, or Hermes in your enterprise? Migration Kit →
docker pull archestra/platform:latest
docker run \
-p 127.0.0.1:9000:9000 -p 127.0.0.1:3000:3000 \
-e ARCHESTRA_QUICKSTART=true \
-e ARCHESTRA_BETA=true \
-v /var/run/docker.sock:/var/run/docker.sock \
-v archestra-postgres-data:/var/lib/postgresql/data \
-v archestra-app-data:/app/data \
archestra/platform
Open http://localhost:3000. Full Docker / Helm / Kubernetes instructions live in the quickstart docs.
Thank you for continuously making Archestra better — you're awesome 🫶