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Studio

Open-source control plane for your AI agents. Connect tools, hire agents, track every token and dollar

Install

$brew install caddy && caddy start

Install command taken from the project's README or registry entry. Always review code before running it.

deco Studio

Open-source · TypeScript-first · Deploy anywhere Open-source private AI workspace for organizations.

Docs · Discord · decocms.com/studio

TL;DR: Your team needs a secure internal vibecoding platform. You just found it. Configure agents with team context. Connect private MCPs once — share capabilities, not credentials. Keep the model layer interchangeable. Roll out across the organization with SSO, RBAC, audit logs, and cost controls — all through one MCP endpoint. Local-first. Self-host or use the cloud.


What is deco Studio?

Studio packages the infrastructure behind an internal AI rollout: model routing, MCP authentication, agent configuration, SSO, RBAC, audit logs, and usage accounting. Your teams get chat. You keep control.

Under the hood it's one control plane for your AI agents — one MCP endpoint for all your agents, tools, and models. Agents package context, tools, and policy into something you publish to the organization. Connections give them governed access to your systems — GitHub, Slack, Postgres, Sentry, anything that speaks MCP — with tokens stored in an encrypted vault. Models stay interchangeable: OpenRouter or direct providers, chosen per agent and per tool.

Start with one team. Standardize approved models, tools, and context. Expand across the organization without copying secrets or rebuilding the platform. Install locally and it stays private; sync to the cloud for remote access, team roles, and shared billing.

┌─────────────────────────────────────────────────────────────────┐
│                             Clients                             │
│            Cursor · Claude · VS Code · Custom Agents            │
└───────────────────────────┬─────────────────────────────────────┘
                            │
                            ▼
┌─────────────────────────────────────────────────────────────────┐
│                           DECO STUDIO                           │
│      Agents · Connections · Models · Vault · Observability      │
└───────────────────────────┬─────────────────────────────────────┘
                            │
                            ▼
┌─────────────────────────────────────────────────────────────────┐
│                       Tools & MCP Servers                       │
│       GitHub · Slack · Postgres · OpenRouter · Your APIs        │
└─────────────────────────────────────────────────────────────────┘

Quick Start

bunx decostudio

Or clone and run from source:

git clone https://github.com/decocms/studio.git
bun install
bun run dev

runs at http://localhost:4000 (client) with API routes proxied to the Bun server


What you get

Agents

Package context, tools, and policy into an agent. Define instructions, add skills and files, grant approved MCP access, choose a model policy, then publish the agent to the organization. Each agent is its own MCP endpoint — callable from Cursor, Claude Desktop, your own code, or another agent. Agents compose, and every action is tracked with cost attribution.

Connections

Connect private systems once, securely. Register MCP servers at the organization level through a web UI with one-click OAuth — no JSON configs. Tokens live in the encrypted vault, and you grant tool-level access by organization, role, or agent. Share MCP capabilities — not credentials.

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