Archestra is a centralized, open-source AI infrastructure platform designed for organizations to manage AI agents, LLM access, and tools securely.
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It provides a unified gateway for observability, cost control, identity management, and deterministic guardrails for both technical and non-technical teams.
- 01
Unified LLM and MCP gateway
- 02
Agent runtime with sandbox support
- 03
Deterministic AI guardrails
- 04
Enterprise identity integration (SSO, OIDC, RBAC)
- 05
Observability via OpenTelemetry and Prometheus
Freemium
Open core model: the base platform is AGPL-3.0 licensed and free. Enterprise features (e.g., SSO, RBAC, RAG with access control) require a paid license for organizations with 30 or more users.
Best for
Organizations needing a controlled, auditable production layer for deploying AI agents, managing tool access via MCP, and monitoring LLM costs.
Not ideal for
Individual hobbyists or small projects that do not require enterprise-grade infrastructure, observability, or centralized governance.
A robust, production-ready platform that effectively bridges the gap between individual AI agent tools and enterprise security requirements by providing a standardized control layer.
Released version 1.4 'Arpa' on 2026-10-21, introducing a self-hosted runtime for remote coding agents and OpenAPPA integration. Version 1.4.15 was released on 2026-11-01 containing various bug fixes.
As of
Is Archestra free?+
Archestra is Freemium. Open core model: the base platform is AGPL-3.0 licensed and free. Enterprise features (e.g., SSO, RBAC, RAG with access control) require a paid license for organizations with 30 or more users. Check the official site for current plans.
Is Archestra open source?+
Archestra is not listed as open source on ai.dosa.dev - it is Freemium.
How much does Archestra cost?+
Open core model: the base platform is AGPL-3.0 licensed and free. Enterprise features (e.g., SSO, RBAC, RAG with access control) require a paid license for organizations with 30 or more users. Pricing changes often - verify on the official site.
Who is Archestra best for?+
Organizations needing a controlled, auditable production layer for deploying AI agents, managing tool access via MCP, and monitoring LLM costs.
Who is Archestra not ideal for?+
Individual hobbyists or small projects that do not require enterprise-grade infrastructure, observability, or centralized governance.
What are the best Archestra alternatives?+
The closest Archestra alternatives on ai.dosa.dev are Cursor, Devin, Trae - all listed under AI-Native IDEs & Editors.
Who makes Archestra?+
Archestra is developed by Archestra Inc.. It is listed in the AI-Native IDEs & Editors category on ai.dosa.dev.
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