AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
Enterprise MCP platform with security guardrails, compliance controls, and a curated catalog of 900+ evaluated Model Context Protocol servers for AI agents.
Developer toolsTypeScript · RustGitHub @archestra-aiOnlineOwner unconfirmed
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An enterprise AI platform with guardrails, an MCP registry, a gateway, and an orchestrator.
AI translation
Enterprise AI Platform with guardrails, MCP registry, gateway & orchestrator
Taken from the repository README
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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.*
Point your users — or your agents, or Claude / Codex / Cursor — at one URL. Archestra handles the rest:Read the full README ↗Secure AI Platform
Built on a strong security and observability foundation: SSO and RBAC, sandboxed code execution, Lethal-Trifecta guardrails, OpenTelemetry traces, and Prometheus metrics — first-class, not bolted on.
Quickstart · Docs · Releases · Slack
https://github.com/user-attachments/assets/912b85e2-ef14-4e83-a807-5e2a81457a88
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 \
-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:latest
Open http://localhost:3000. Full Docker / Helm / Kubernetes instructions live in the quickstart docs.
Archestra maintains two active release tracks:
1.3.51): Qualified, tested releases for production deployments. Archestra maintains one active stable release line at a time with security patches and bug fixes.1.4.0-rc.22): Previews of upcoming features built directly from the main branch. They let you test new capabilities and provide feedback before they land in a stable release. The Docker tag archestra/platform:latest points to the newest release, so it usually runs a release candidate.New features and bug fixes land on main first and ship in rolling beta releases. Fixes are then selectively backported to the supported stable branch. For production environments, pin an exact version tag or Helm chart version rather than tracking latest. See our Release guide for full release lifecycle details.
Thank you for continuously making Archestra better — you're awesome 🫶