archestra-ai/archestraPublic

Enterprise AI Platform with guardrails, MCP registry, gateway & orchestrator

AI summary: Secure enterprise AI platform with built-in guardrails and MCP registry.

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4.1K
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Open PRs
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TypeScriptOtherCreated Jul 15, 2025Last push todayLatest release platform-v1.3.28+25 stars this week+46 this month

Star history

since Jul 20, 2025
02K4KJul 2025Nov 2025Mar 2026Aug 2026
4.1K stars as of Aug 7, 2026, tracked back to Jul 20, 2025. Historical curve reconstructed from public GitHub event archives, calibrated to the current total.

Contribution activity

commits per day, last 52 weeks
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    5,025 commits in 52 weeks

  • Continuous integration

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What archestra does

Archestra is an all-in-one, open-source enterprise AI platform designed with a strong emphasis on security and observability. It provides a robust foundation including SSO, RBAC, and sandboxed code execution for AI agents. The platform features Dual-LLM and Lethal-Trifecta guardrails to ensure safe AI operations. Additionally, it offers native OpenTelemetry traces and Prometheus metrics, functioning as a complete gateway and orchestrator for Model Context Protocol (MCP) integrations.

Platform engineering teams and enterprise IT departments deploying secure, scalable AI infrastructure. Requires Kubernetes or robust container orchestration knowledge.

  • Feature: Enterprise-grade security with SSO, RBAC, and sandboxed execution.
  • Feature: Built-in Dual-LLM and Lethal-Trifecta safety guardrails.
  • Feature: Native observability using OpenTelemetry traces and Prometheus metrics.
  • Feature: Comprehensive Model Context Protocol (MCP) registry and gateway.
  • Feature: Support for major LLM providers including OpenAI, Claude, DeepSeek, and Gemini.

Where teams use it

Enterprise AI Deployment

Rolling out secure, monitored AI capabilities across a large organization.

MCP Service Orchestration

Managing and routing requests between multiple internal MCP servers and AI agents.

Compliant AI Operations

Ensuring all AI interactions pass strict security guardrails before execution.

Sandboxed Code Generation

Safely executing and testing AI-generated code in isolated environments.

Getting started: Follow the Quickstart guide at https://archestra.ai/docs/platform-quickstart

README

main branch
Archestra

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.

License Release Contributors Last commit Commit activity

Quickstart  ·  Docs  ·  Releases  ·  Slack


QuickDemo.mp4


What it does

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 →

Quickstart

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.

Ready for production

Deeper docs

Thank you for continuously making Archestra better — you're awesome 🫶

Contributors

Linux Foundation        CNCF
View on GitHub

Recent activity

commits and pull requests

Releases and announcements

299 total
  1. platform: v1.3.28platform-v1.3.28Aug 6, 2026

    ## [1.3.28](https://github.com/archestra-ai/archestra/compare/platform-v1.3.27...platform-v1.3.28) (2026-08-06) ### Features * **advisor:** consult a stronger model as a subagent ([#7088](https://github.com/archestra-ai/archestra/issues/7088)) ([f0a61c9](https://github.com/archestra-ai/archestra/commit/f0a61c9ccaa572a5759b5b6348c611f7e2d07012)) * **agents:** browse and restore config versions for agents, gateways, and proxies ([#7121](https://github.com/archestra-ai/archestra/issues/7121)) ([21c9dd3](https://github.com/archestra-ai/archestra/commit/21c9dd3f6f22199c72be885856bc88d1993a0579)) * **agents:** restore an agent's config to an earlier version ([#7112](https://github.com/archestra-ai/archestra/issues/7112)) ([0de74bb](https://github.com/archestra-ai/archestra/commit/0de74bbe84bfc0e73ca57aa85950652c759d216e)) * **environments:** rename egress mode labels to Block all/Allowlist/Allow all ([#7110](https://github.com/archestra-ai/archestra/issues/7110)) ([7969cc8](https://github.com/archestra-ai/archestra/commit/7969cc85d607f1d69d2fe691a34fe615f676619e)) * **trash:** permanent delete in the UI, and a trash view for projects ([#7120](https://github.com/archestra-ai/archestra/

  2. platform: v1.3.27platform-v1.3.27Aug 5, 2026

    ## [1.3.27](https://github.com/archestra-ai/archestra/compare/platform-v1.3.26...platform-v1.3.27) (2026-08-05) ### Features * **agents:** show which environment each agent belongs to ([#7104](https://github.com/archestra-ai/archestra/issues/7104)) ([9b30eed](https://github.com/archestra-ai/archestra/commit/9b30eed6320c9d4c4caf292e6e724c5612a4b850)) * **apps:** silent app builds with user-facing language in chat ([#7101](https://github.com/archestra-ai/archestra/issues/7101)) ([458649e](https://github.com/archestra-ai/archestra/commit/458649e7d4a662538dac373be8297c2e72dbccb6)) * **chatops:** operator opt-out for the auto-provision signup welcome ([#7103](https://github.com/archestra-ai/archestra/issues/7103)) ([58aee59](https://github.com/archestra-ai/archestra/commit/58aee5931e46afdef5292544b8c580374eea899f)) * **chat:** surface context headroom on hover and let users compact on demand ([#7091](https://github.com/archestra-ai/archestra/issues/7091)) ([7a39e26](https://github.com/archestra-ai/archestra/commit/7a39e2603f692d5c8d717c637f0b9053e487ef89)) * **mcp-apps:** first-class app file API, live store updates, and agent awareness of the open app ([#7097](https://github.com/arc

  3. platform: v1.3.26platform-v1.3.26Aug 4, 2026

    ## [1.3.26](https://github.com/archestra-ai/archestra/compare/platform-v1.3.25...platform-v1.3.26) (2026-08-04) ### Features * **auth:** impersonation hardening — audit trail, attribution, kill switch, org-RBAC gating ([#7043](https://github.com/archestra-ai/archestra/issues/7043)) ([63cae3a](https://github.com/archestra-ai/archestra/commit/63cae3a7c6879071d0248f688e046657bcc58d95)) * **auth:** make ARCHESTRA_AUTH_DISABLE_BASIC_AUTH actually disable basic auth, and turn it on for staging ([#7053](https://github.com/archestra-ai/archestra/issues/7053)) ([b3bc08c](https://github.com/archestra-ai/archestra/commit/b3bc08c238890bdd8057f6c7eeee4e0650548a84)) * **auth:** require-2FA enforcement with dedicated enrollment page, session lifetime cap, 2FA enterprise gating, and sign-in origin banner cleanup ([#7039](https://github.com/archestra-ai/archestra/issues/7039)) ([68b4246](https://github.com/archestra-ai/archestra/commit/68b4246802e916137420ee6e88a77703ca1b5e0c)) * **mcp-apps:** let MCP Apps use the *_file tools ([#6922](https://github.com/archestra-ai/archestra/issues/6922)) ([fc9f967](https://github.com/archestra-ai/archestra/commit/fc9f96704a46e89da329e33aec92d1f9fe829b4a)) * *

  4. platform: v1.3.25platform-v1.3.25Jul 31, 2026

    ## [1.3.25](https://github.com/archestra-ai/archestra/compare/platform-v1.3.24...platform-v1.3.25) (2026-07-31) ### Features * **agents:** config versioning — schema, snapshot model, fork-on-write ([#6923](https://github.com/archestra-ai/archestra/issues/6923)) ([b59aa97](https://github.com/archestra-ai/archestra/commit/b59aa974f4bb897c691b193cec0c684b5923441e)) * **chatops:** per-channel answer-all for MS Teams ([#7001](https://github.com/archestra-ai/archestra/issues/7001)) ([f74d454](https://github.com/archestra-ai/archestra/commit/f74d454e20849e4f87ba45a43ec1d0bea06f3260)) * **chat:** soft-delete conversations instead of hard-deleting ([#6985](https://github.com/archestra-ai/archestra/issues/6985)) ([ce7ebbf](https://github.com/archestra-ai/archestra/commit/ce7ebbfa08d5a1f629e7aefdc47c7bb5cf199757)) * **helm:** check whether the cluster enforces NetworkPolicy ([#7026](https://github.com/archestra-ai/archestra/issues/7026)) ([fe8e565](https://github.com/archestra-ai/archestra/commit/fe8e565c9f098aeed5d8ba93d9a6aff06d1913d7)) * **k8s:** report measured NetworkPolicy enforcement, not inferred ([#7027](https://github.com/archestra-ai/archestra/issues/7027)) ([8f5f237](https://gi

  5. platform: v1.3.24platform-v1.3.24Jul 30, 2026

    ## [1.3.24](https://github.com/archestra-ai/archestra/compare/platform-v1.3.23...platform-v1.3.24) (2026-07-30) ### Features * **apps:** labels for MCP Apps ([#7008](https://github.com/archestra-ai/archestra/issues/7008)) ([80cf7b9](https://github.com/archestra-ai/archestra/commit/80cf7b9b4c0405af27805a53d83bea24401aebc8)) * **llm-providers:** serve Perplexity's Agent API as a second transport on the perplexity provider ([#7007](https://github.com/archestra-ai/archestra/issues/7007)) ([197168b](https://github.com/archestra-ai/archestra/commit/197168ba27ff6ac0313afa662fbf54f49aa935c1)) ### Bug Fixes * **apps:** find an app by name instead of demanding its id ([#7010](https://github.com/archestra-ai/archestra/issues/7010)) ([38e3c02](https://github.com/archestra-ai/archestra/commit/38e3c028b0e021c237a4388d5d64f97a19edf4e0)) * **chat:** recover from Anthropic-family context-overflow rejections ([#7011](https://github.com/archestra-ai/archestra/issues/7011)) ([bac92af](https://github.com/archestra-ai/archestra/commit/bac92afbd9a4d0fea4aa31eca6ee7c527313f977)) * **mcp:** send the enterprise-managed credential from the inspector ([#7006](https://github.com/archestra-ai/archestra/is

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5K commits in the last 52 weeks.

When work happens

weekday and hour
SunMonTueWedThuFriSat036912151821Sun 0:00 — 17 commitsSun 1:00 — 9 commitsSun 2:00 — 1 commitsSun 3:00 — 5 commitsSun 4:00 — 5 commitsSun 5:00 — 3 commitsSun 6:00 — 6 commitsSun 7:00 — 6 commitsSun 8:00 — 14 commitsSun 9:00 — 11 commitsSun 10:00 — 15 commitsSun 11:00 — 17 commitsSun 12:00 — 18 commitsSun 13:00 — 13 commitsSun 14:00 — 10 commitsSun 15:00 — 11 commitsSun 16:00 — 19 commitsSun 17:00 — 18 commitsSun 18:00 — 33 commitsSun 19:00 — 19 commitsSun 20:00 — 23 commitsSun 21:00 — 14 commitsSun 22:00 — 20 commitsSun 23:00 — 17 commitsMon 0:00 — 8 commitsMon 1:00 — 12 commitsMon 2:00 — 10 commitsMon 3:00 — 12 commitsMon 4:00 — 8 commitsMon 5:00 — 5 commitsMon 6:00 — 4 commitsMon 7:00 — 9 commitsMon 8:00 — 14 commitsMon 9:00 — 26 commitsMon 10:00 — 48 commitsMon 11:00 — 60 commitsMon 12:00 — 48 commitsMon 13:00 — 62 commitsMon 14:00 — 77 commitsMon 15:00 — 80 commitsMon 16:00 — 78 commitsMon 17:00 — 62 commitsMon 18:00 — 62 commitsMon 19:00 — 54 commitsMon 20:00 — 52 commitsMon 21:00 — 48 commitsMon 22:00 — 50 commitsMon 23:00 — 30 commitsTue 0:00 — 16 commitsTue 1:00 — 10 commitsTue 2:00 — 10 commitsTue 3:00 — 7 commitsTue 4:00 — 6 commitsTue 5:00 — 9 commitsTue 6:00 — 18 commitsTue 7:00 — 25 commitsTue 8:00 — 17 commitsTue 9:00 — 32 commitsTue 10:00 — 56 commitsTue 11:00 — 65 commitsTue 12:00 — 56 commitsTue 13:00 — 52 commitsTue 14:00 — 68 commitsTue 15:00 — 71 commitsTue 16:00 — 54 commitsTue 17:00 — 73 commitsTue 18:00 — 49 commitsTue 19:00 — 32 commitsTue 20:00 — 49 commitsTue 21:00 — 43 commitsTue 22:00 — 44 commitsTue 23:00 — 29 commitsWed 0:00 — 16 commitsWed 1:00 — 14 commitsWed 2:00 — 10 commitsWed 3:00 — 3 commitsWed 4:00 — 5 commitsWed 5:00 — 5 commitsWed 6:00 — 11 commitsWed 7:00 — 32 commitsWed 8:00 — 31 commitsWed 9:00 — 43 commitsWed 10:00 — 59 commitsWed 11:00 — 56 commitsWed 12:00 — 68 commitsWed 13:00 — 77 commitsWed 14:00 — 85 commitsWed 15:00 — 86 commitsWed 16:00 — 84 commitsWed 17:00 — 71 commitsWed 18:00 — 51 commitsWed 19:00 — 35 commitsWed 20:00 — 54 commitsWed 21:00 — 53 commitsWed 22:00 — 36 commitsWed 23:00 — 31 commitsThu 0:00 — 16 commitsThu 1:00 — 14 commitsThu 2:00 — 8 commitsThu 3:00 — 8 commitsThu 4:00 — 5 commitsThu 5:00 — 4 commitsThu 6:00 — 16 commitsThu 7:00 — 30 commitsThu 8:00 — 17 commitsThu 9:00 — 40 commitsThu 10:00 — 42 commitsThu 11:00 — 58 commitsThu 12:00 — 73 commitsThu 13:00 — 62 commitsThu 14:00 — 71 commitsThu 15:00 — 70 commitsThu 16:00 — 61 commitsThu 17:00 — 61 commitsThu 18:00 — 60 commitsThu 19:00 — 51 commitsThu 20:00 — 63 commitsThu 21:00 — 60 commitsThu 22:00 — 29 commitsThu 23:00 — 28 commitsFri 0:00 — 19 commitsFri 1:00 — 11 commitsFri 2:00 — 8 commitsFri 3:00 — 8 commitsFri 4:00 — 7 commitsFri 5:00 — 13 commitsFri 6:00 — 14 commitsFri 7:00 — 11 commitsFri 8:00 — 30 commitsFri 9:00 — 43 commitsFri 10:00 — 45 commitsFri 11:00 — 70 commitsFri 12:00 — 73 commitsFri 13:00 — 79 commitsFri 14:00 — 67 commitsFri 15:00 — 83 commitsFri 16:00 — 69 commitsFri 17:00 — 62 commitsFri 18:00 — 56 commitsFri 19:00 — 49 commitsFri 20:00 — 45 commitsFri 21:00 — 40 commitsFri 22:00 — 49 commitsFri 23:00 — 27 commitsSat 0:00 — 18 commitsSat 1:00 — 11 commitsSat 2:00 — 5 commitsSat 3:00 — 3 commitsSat 4:00 — 3 commitsSat 5:00 — 4 commitsSat 6:00 — 14 commitsSat 7:00 — 12 commitsSat 8:00 — 21 commitsSat 9:00 — 15 commitsSat 10:00 — 21 commitsSat 11:00 — 17 commitsSat 12:00 — 9 commitsSat 13:00 — 25 commitsSat 14:00 — 19 commitsSat 15:00 — 21 commitsSat 16:00 — 27 commitsSat 17:00 — 17 commitsSat 18:00 — 13 commitsSat 19:00 — 10 commitsSat 20:00 — 11 commitsSat 21:00 — 14 commitsSat 22:00 — 20 commitsSat 23:00 — 10 commits
Commit volume by weekday and hour (UTC). Larger dots mean more commits.
DateListRankStars gained
Jan 28, 2026daily#11+192
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