archestra-ai/archestraPublic

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

AI summary: A secure enterprise AI platform offering built-in guardrails, observability, and a comprehensive MCP gateway.

Stars
4.3K
+24 today
Forks
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Watchers
16
Open issues
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Open PRs
21
Contributors
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Commits
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Branches
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TypeScriptOtherCreated Jul 15, 2025Last push 2d agoLatest release platform-v1.3.66+37 stars this week+104 this month

Quick answers

What is archestra?
A secure enterprise AI platform offering built-in guardrails, observability, and a comprehensive MCP gateway.
What does archestra do?
Archestra is an all-in-one, open-source enterprise AI platform designed with a strong, foundational emphasis on security and observability. It provides a robust operational foundation including single sign-on, role-based access control, and sandboxed code execution for AI agents. The platform features strict Dual-LLM and Lethal-Trifecta guardrails to ensure safe and compliant AI operations. Additionally, it offers native OpenTelemetry traces and functions as a complete gateway and orchestrator for Model Context Protocol integrations. It seamlessly manages routing between internal services and major external LLM providers like Anthropic and OpenAI.
Who is archestra for?
Platform engineering teams and enterprise IT departments deploying secure, scalable AI infrastructure. It requires robust knowledge of Kubernetes and enterprise authentication systems.
How do I get started with archestra?
Follow the Quickstart guide at https://archestra.ai/docs/platform-quickstart
How popular is archestra on GitHub?
archestra-ai/archestra has 4,337 stars and 1,215 forks on GitHub, and gained 37 stars in the last 7 days.
What license does archestra use?
archestra-ai/archestra is released under the Other license.

Star history

since Jul 28, 2026
02K4KJul 2026Aug 2026Sep 2026Oct 2026
4.3K stars as of Oct 1, 2026. Measured daily since Jul 28, 2026; GitHub no longer exposes earlier star timestamps.

Contribution activity

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  • Very active

    5,546 commits in 52 weeks

  • Continuous integration

    Automated checks passing

What archestra does

Archestra is an all-in-one, open-source enterprise AI platform designed with a strong, foundational emphasis on security and observability. It provides a robust operational foundation including single sign-on, role-based access control, and sandboxed code execution for AI agents. The platform features strict Dual-LLM and Lethal-Trifecta guardrails to ensure safe and compliant AI operations. Additionally, it offers native OpenTelemetry traces and functions as a complete gateway and orchestrator for Model Context Protocol integrations. It seamlessly manages routing between internal services and major external LLM providers like Anthropic and OpenAI.

Platform engineering teams and enterprise IT departments deploying secure, scalable AI infrastructure. It requires robust knowledge of Kubernetes and enterprise authentication systems.

  • Enterprise-Grade Security: Implements strict SSO, granular RBAC, and secure sandboxed execution for all agent operations.
  • Safety Guardrails: Features built-in Dual-LLM and Lethal-Trifecta safety guardrails to prevent malicious prompt execution.
  • Native Observability: Emits comprehensive OpenTelemetry traces and Prometheus metrics natively without bolting them on as an afterthought.
  • MCP Orchestration: Acts as a comprehensive Model Context Protocol registry and routing gateway for internal enterprise services.
  • Multi-Provider Gateway: Provides a unified, authenticated gateway for major LLM providers including OpenAI, Claude, and DeepSeek.
  • Agent Runtime: Includes a robust execution environment supporting scheduled triggers, sub-agent delegation, and reusable skills.

Where teams use it

Enterprise AI Deployment

Rolling out secure, monitored, and compliant AI capabilities across a large organization with centralized access control.

MCP Service Orchestration

Managing and safely routing requests between multiple internal Model Context Protocol servers and external AI agents.

Compliant AI Operations

Ensuring all enterprise AI interactions pass through strict deterministic guardrails before execution to prevent data leaks.

Sandboxed Code Generation

Safely executing and testing AI-generated code snippets in highly isolated, ephemeral Kubernetes container 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 \
  -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.

Release channels

Archestra maintains two active release tracks:

  • Stable releases (e.g. 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. The Docker tag latest points to the most recent stable release.
  • Beta releases (e.g. 1.4.0-beta.1): Previews of upcoming features built directly from the main branch. Beta releases let you test new capabilities and provide feedback before they land in a stable release.

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.

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

Recent open issues

view all

Releases and announcements

358 total
  1. platform: v1.4.0-rc.20platform-v1.4.0-rc.20Sep 23, 2026pre-release2 downloads

    ## [1.4.0-rc.20](https://github.com/archestra-ai/archestra/compare/platform-v1.4.0-rc.19...platform-v1.4.0-rc.20) (2026-09-23) ### Bug Fixes * **frontend:** center the projects add-key prompt like /chat ([#8139](https://github.com/archestra-ai/archestra/issues/8139)) ([96965bf](https://github.com/archestra-ai/archestra/commit/96965bf831ec793ae037a4512b69f3f534c2e21e)) * **openappa:** explain refused policies and keep the switch off while one is saved ([#8127](https://github.com/archestra-ai/archestra/issues/8127)) ([0431a8b](https://github.com/archestra-ai/archestra/commit/0431a8bdc6a0d151f7af53199621667c4be7554a)) * **openappa:** read the Guardrails v2 switch once per request ([#8130](https://github.com/archestra-ai/archestra/issues/8130)) ([fe37ffc](https://github.com/archestra-ai/archestra/commit/fe37ffcd9f5c8a251c64b07c6b3229bd13e39f37)) * **proxy:** repair trailing model turns in Gemini OpenAI translation ([#8133](https://github.com/archestra-ai/archestra/issues/8133)) ([a98acc3](https://github.com/archestra-ai/archestra/commit/a98acc30e011f00f0c821f2d8e1033c81ad54b05)) * surface the real cause when the installer cannot reach a deployment ([#8137](https://github.com/archest

  2. platform: v1.4.0-rc.19platform-v1.4.0-rc.19Sep 22, 2026pre-release2 downloads

    ## [1.4.0-rc.19](https://github.com/archestra-ai/archestra/compare/platform-v1.4.0-rc.18...platform-v1.4.0-rc.19) (2026-09-22) ### Bug Fixes * **frontend:** scope agent Environment copy to its own runtime state ([#8121](https://github.com/archestra-ai/archestra/issues/8121)) ([2268b53](https://github.com/archestra-ai/archestra/commit/2268b536b4e96a619feb252cccaeacdfe6e3ada9)) * keep the configured https scheme in the connection documents ([#8122](https://github.com/archestra-ai/archestra/issues/8122)) ([cece1e9](https://github.com/archestra-ai/archestra/commit/cece1e976170035d312da10c6e92dc9002c83811)) * **openappa:** refuse attaches the alias cannot target and rework the Batteries panel ([#8123](https://github.com/archestra-ai/archestra/issues/8123)) ([3e1d5b7](https://github.com/archestra-ai/archestra/commit/3e1d5b71eb5b812ee9b542cbe040de7bd62916e1)) ### Documentation * describe batteries as policy declarations ([#8119](https://github.com/archestra-ai/archestra/issues/8119)) ([42a3000](https://github.com/archestra-ai/archestra/commit/42a3000ac87496c15941e7e986a374944bba6935))

  3. platform: v1.4.0-rc.18platform-v1.4.0-rc.18Sep 22, 2026pre-release2 downloads

    ## [1.4.0-rc.18](https://github.com/archestra-ai/archestra/compare/platform-v1.4.0-rc.17...platform-v1.4.0-rc.18) (2026-09-22) ### Features * **frontend:** batteries panel, wizard toggle and editor annotations on the policy's declarations ([#8114](https://github.com/archestra-ai/archestra/issues/8114)) ([6b8bc3c](https://github.com/archestra-ai/archestra/commit/6b8bc3cfe25577c0aaaeba6788d9691e53aed6d3)) * **openappa:** add HITL authorization for chat and proxy clients ([#8028](https://github.com/archestra-ai/archestra/issues/8028)) ([23d2e3f](https://github.com/archestra-ai/archestra/commit/23d2e3f112cdcae3a65a2fe09f7f4653ebc3833b)) * **openappa:** declare batteries in the organization's policy text ([#8112](https://github.com/archestra-ai/archestra/issues/8112)) ([a3b6d63](https://github.com/archestra-ai/archestra/commit/a3b6d632c026b9c1cd9dc588c283aad0b0830ad2)) ### Bug Fixes * explain model provider connection timeouts ([#8105](https://github.com/archestra-ai/archestra/issues/8105)) ([9a90cf6](https://github.com/archestra-ai/archestra/commit/9a90cf601d577d6736951039e18822111375bd71)) * **frontend:** keep the Instructions hint on one line ([#8116](https://github.com/archest

  4. platform: v1.3.66platform-v1.3.66Sep 21, 20262 downloads

    ## [1.3.66](https://github.com/archestra-ai/archestra/compare/platform-v1.3.65...platform-v1.3.66) (2026-09-21) ### Bug Fixes * **mcp:** sanitize advertised tool schemas for Gemini clients (backport release/1.3) ([#8110](https://github.com/archestra-ai/archestra/issues/8110)) ([e5ba7ba](https://github.com/archestra-ai/archestra/commit/e5ba7ba0a36b95fa3ff4517066b57dace61ee594)) --- This PR was generated with [Release Please](https://github.com/googleapis/release-please). See [documentation](https://github.com/googleapis/release-please#release-please).

  5. platform: v1.4.0-rc.17platform-v1.4.0-rc.17Sep 21, 2026pre-release3 downloads

    ## [1.4.0-rc.17](https://github.com/archestra-ai/archestra/compare/platform-v1.4.0-rc.16...platform-v1.4.0-rc.17) (2026-09-21) ### Features * **agent-runtime:** accept client-supplied credentials by default, with a toggle ([#8088](https://github.com/archestra-ai/archestra/issues/8088)) ([a41a236](https://github.com/archestra-ai/archestra/commit/a41a2362eef59bebea100b374ee3f800059d4d8c)) * **agent-runtime:** one status rule for sidebar glyph and run header ([#8050](https://github.com/archestra-ai/archestra/issues/8050)) ([4a0e205](https://github.com/archestra-ai/archestra/commit/4a0e20543b7ace9182fd8a4709bf06ae900e392e)) * **chat:** add choice forms and native client elicitation ([#8025](https://github.com/archestra-ai/archestra/issues/8025)) ([0aa97a6](https://github.com/archestra-ai/archestra/commit/0aa97a6607ef6636178c86b07f051b1a95a3c6b6)) * **chat:** preview a hovered suggestion's full prompt in the composer ([#8053](https://github.com/archestra-ai/archestra/issues/8053)) ([e677739](https://github.com/archestra-ai/archestra/commit/e6777396c9d41438cea5e08988f434183742a926)) * **llm-proxy:** show the proxy endpoint above the revealed virtual key ([#8089](https://github.com/arc

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When work happens

weekday and hour
SunMonTueWedThuFriSat036912151821Sun 0:00 — 20 commitsSun 1:00 — 13 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 — 15 commitsSun 9:00 — 14 commitsSun 10:00 — 20 commitsSun 11:00 — 17 commitsSun 12:00 — 27 commitsSun 13:00 — 17 commitsSun 14:00 — 14 commitsSun 15:00 — 16 commitsSun 16:00 — 22 commitsSun 17:00 — 21 commitsSun 18:00 — 42 commitsSun 19:00 — 25 commitsSun 20:00 — 24 commitsSun 21:00 — 18 commitsSun 22:00 — 23 commitsSun 23:00 — 18 commitsMon 0:00 — 9 commitsMon 1:00 — 18 commitsMon 2:00 — 15 commitsMon 3:00 — 13 commitsMon 4:00 — 8 commitsMon 5:00 — 5 commitsMon 6:00 — 4 commitsMon 7:00 — 11 commitsMon 8:00 — 17 commitsMon 9:00 — 29 commitsMon 10:00 — 53 commitsMon 11:00 — 64 commitsMon 12:00 — 54 commitsMon 13:00 — 66 commitsMon 14:00 — 82 commitsMon 15:00 — 89 commitsMon 16:00 — 90 commitsMon 17:00 — 70 commitsMon 18:00 — 72 commitsMon 19:00 — 63 commitsMon 20:00 — 64 commitsMon 21:00 — 56 commitsMon 22:00 — 58 commitsMon 23:00 — 41 commitsTue 0:00 — 19 commitsTue 1:00 — 14 commitsTue 2:00 — 14 commitsTue 3:00 — 7 commitsTue 4:00 — 6 commitsTue 5:00 — 10 commitsTue 6:00 — 19 commitsTue 7:00 — 26 commitsTue 8:00 — 19 commitsTue 9:00 — 36 commitsTue 10:00 — 60 commitsTue 11:00 — 69 commitsTue 12:00 — 60 commitsTue 13:00 — 55 commitsTue 14:00 — 76 commitsTue 15:00 — 78 commitsTue 16:00 — 58 commitsTue 17:00 — 81 commitsTue 18:00 — 61 commitsTue 19:00 — 39 commitsTue 20:00 — 64 commitsTue 21:00 — 53 commitsTue 22:00 — 54 commitsTue 23:00 — 44 commitsWed 0:00 — 26 commitsWed 1:00 — 17 commitsWed 2:00 — 14 commitsWed 3:00 — 3 commitsWed 4:00 — 9 commitsWed 5:00 — 5 commitsWed 6:00 — 11 commitsWed 7:00 — 33 commitsWed 8:00 — 31 commitsWed 9:00 — 49 commitsWed 10:00 — 69 commitsWed 11:00 — 73 commitsWed 12:00 — 73 commitsWed 13:00 — 90 commitsWed 14:00 — 93 commitsWed 15:00 — 93 commitsWed 16:00 — 89 commitsWed 17:00 — 73 commitsWed 18:00 — 57 commitsWed 19:00 — 38 commitsWed 20:00 — 60 commitsWed 21:00 — 58 commitsWed 22:00 — 39 commitsWed 23:00 — 37 commitsThu 0:00 — 18 commitsThu 1:00 — 22 commitsThu 2:00 — 10 commitsThu 3:00 — 9 commitsThu 4:00 — 6 commitsThu 5:00 — 4 commitsThu 6:00 — 16 commitsThu 7:00 — 32 commitsThu 8:00 — 18 commitsThu 9:00 — 41 commitsThu 10:00 — 43 commitsThu 11:00 — 65 commitsThu 12:00 — 81 commitsThu 13:00 — 69 commitsThu 14:00 — 78 commitsThu 15:00 — 81 commitsThu 16:00 — 69 commitsThu 17:00 — 68 commitsThu 18:00 — 82 commitsThu 19:00 — 62 commitsThu 20:00 — 71 commitsThu 21:00 — 66 commitsThu 22:00 — 34 commitsThu 23:00 — 32 commitsFri 0:00 — 21 commitsFri 1:00 — 15 commitsFri 2:00 — 8 commitsFri 3:00 — 15 commitsFri 4:00 — 12 commitsFri 5:00 — 13 commitsFri 6:00 — 14 commitsFri 7:00 — 11 commitsFri 8:00 — 33 commitsFri 9:00 — 45 commitsFri 10:00 — 49 commitsFri 11:00 — 75 commitsFri 12:00 — 81 commitsFri 13:00 — 91 commitsFri 14:00 — 73 commitsFri 15:00 — 94 commitsFri 16:00 — 81 commitsFri 17:00 — 70 commitsFri 18:00 — 63 commitsFri 19:00 — 55 commitsFri 20:00 — 50 commitsFri 21:00 — 48 commitsFri 22:00 — 54 commitsFri 23:00 — 30 commitsSat 0:00 — 26 commitsSat 1:00 — 12 commitsSat 2:00 — 10 commitsSat 3:00 — 8 commitsSat 4:00 — 5 commitsSat 5:00 — 7 commitsSat 6:00 — 17 commitsSat 7:00 — 17 commitsSat 8:00 — 23 commitsSat 9:00 — 22 commitsSat 10:00 — 22 commitsSat 11:00 — 21 commitsSat 12:00 — 21 commitsSat 13:00 — 30 commitsSat 14:00 — 22 commitsSat 15:00 — 24 commitsSat 16:00 — 34 commitsSat 17:00 — 18 commitsSat 18:00 — 30 commitsSat 19:00 — 14 commitsSat 20:00 — 11 commitsSat 21:00 — 20 commitsSat 22:00 — 28 commitsSat 23:00 — 11 commits
Commit volume by weekday and hour (UTC). Larger dots mean more commits.
DateListRankStars gained
Jan 28, 2026daily#11+192
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