studio
Active·★ 376·NOASSERTION·Updated 2026-05-29
★ Multi-Agent★ Observability
Open-source control plane for your AI agents. Connect tools, hire agents, track every token and dollar
deco Studio is an open-source control plane for hiring AI agents, connecting tools via MCP, and organizing them into projects with adaptive UIs. It provides observability for token spend, costs, and errors, and can be self-hosted or synced to the cloud for team collaboration.
#agents#ai#bun#deco#llm#mcp#mcp-client#mcp-server
01
Features
01Agents: browse, hire, and compose specialized AI agents with tracked skills and cost attribution
02Connections: set up MCP connections via web UI with one-click OAuth, with monitoring and credential sharing
03Projects: organize agents and connections around goals with an adaptive UI that changes based on contents
04Observability: trace, monitor tokens, costs, errors, and latency per connection in a single dashboard
05Virtual MCPs: compose and expose governed toolsets as new MCP endpoints
02
Compatibility
Bun
Bun
Verified via docs
Node.js
Node.js
Verified via docs
Docker
Docker
Verified via docs
Kubernetes
Kubernetes
Verified via docs
03
Quick start
1
$ bunx decocms
04
Use cases
↳Building and managing AI agent workflows
↳Centralizing tool access and governance across teams
↳Monitoring and optimizing AI costs and performance
05
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Comments
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- SSasha HarrisMay 15, 2026
Works well as a self-hosted alternative to managed agent platforms.
- SSpencer ZhangMay 3, 2026
Tool connection and agent composition interface is intuitive.
- AAvery WhiteApr 23, 2026
Good observability into what agents are doing, which is rare in open-source tools.
- SSage LeeMar 9, 2026
Open-source control plane for agent orchestration — fills a real gap.