The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Studio
Open-source control plane for your AI agents. Connect tools, hire agents, track every token and dollar
Install
brew install caddy && caddy startInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →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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