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archestra
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archestra

Active·★ 4.4k·AGPL-3.0 (enterprise parts under a commercial license)·Updated 2026-10-14
★ Trending★ Essential

Archestra is an all-in-one, open-source enterprise AI platform. You point users, agents and coding tools like Claude Code, Codex or Cursor at one URL, and it provides the pieces an organisation needs to adopt AI safely: an internal chat assistant, a developer portal for LLMs and MCP, gateways for model and tool traffic, and an agent runtime, all built on SSO, role-based access control, sandboxed code execution, guardrails, OpenTelemetry traces and Prometheus metrics.

It suits platform and security teams who need central control over how a company uses models and MCP servers. The LLM gateway supports many providers with cost limits, virtual API keys and dynamic model routing; the MCP gateway uses OAuth with on-behalf-of flows so tools run as the requesting user rather than a shared service account; a private MCP registry and a Kubernetes-based MCP orchestrator let teams publish their own tools; and an A2A gateway, scheduled and webhook-triggered agents, a RAG knowledge base, a mini app builder and deterministic guardrails against risky tool-call patterns round it out. Non-technical users can reach the assistant through Slack, Microsoft Teams or email.

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Getting started: pull and run the `archestra/platform` Docker image following the quickstart, then connect model providers, MCP servers and identity settings in the admin interface.

This write-up is based on the project's README and public repository data. We have not hand-tested the tool. Data as of 2026-10-10.

License
Not detected by GitHub
Latest release
platform-v1.3.71 · 2026-10-08
Last commit
2026-10-10
Contributors
84
Forks
1,210
Open issues and PRs
79
First published
2025-07-15

Source: GitHub, npm and PyPI public APIs.

#AI Platform#AI Security#Kubernetes#Orchestration#Observability
$ Install
$ docker pull archestra/platform:latest; docker run -p 9000:9000 -p 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;
↗ Visit site★ GitHub
01

Features

01Secure, MCP-native AI Platform for simplified enterprise AI usage.
02Private MCP registry with governance and ChatGPT-like chat capabilities.
03Kubernetes-native orchestration for managing AI servers and credentials.
04Advanced security features to prevent prompt injections and data exfiltration.
05Comprehensive cost monitoring, dynamic optimization, and observability tools.
02

Why choose it

+One platform covering chat, LLM gateway, MCP gateway and registry, A2A and agent runtime.
+Security built in: SSO, RBAC, sandboxing, guardrails and per-user tool authorisation.
+Observability through OpenTelemetry and Prometheus.
+Self-hostable, with cost controls and virtual keys for model usage.
03

Trade-offs

!Dual-licensed: the default code is AGPL-3.0, while parts marked Enterprise are under a commercial licence; check which features you need.
!A broad platform with Kubernetes-oriented components is a significant deployment for small teams.
!Many capabilities overlap with tools you may already run (gateways, chat apps), so plan what it replaces.
04

Compatibility

MCP
Native MCP Support
Verified via docs
Kubernetes
Kubernetes Native
Verified via docs
Docker
Docker Supported
Verified via docs
Terraform
Terraform Provider
Verified via docs
Helm
Helm Chart
Verified via docs
05

Quick start

1
$ docker pull archestra/platform:latest; docker run -p 9000:9000 -p 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;
06

Use cases

↳Centralized orchestration and secure management of AI models and data for platform teams.
↳Secure deployment and development of AI agents across the organization for developers.
↳Facilitating organization-wide AI adoption, cost reduction, and usage visibility for management.
07

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Stats
GitHub Stars★ 4.4k
Last commit1d ago
StatusActive
LicenseAGPL-3.0 (enterprise parts under a commercial license)
CategoryObservability
Trend (30d)
+0.1k↑ 4.3%
Links
Documentation↗Discussion↗Issues↗Releases↗

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