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CrewDock

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Open-source self-hosted control plane for focused AI agents: roles, tasks, approvals, knowledge context, activity and cost visibility. Built by Felhen.

OSS

CrewDock

Added 4 Oct 2026

#agent-ops #agent-orchestration #agent-runtime #ai-agents #ai-operating-system #fastapi #felhen #human-in-the-loop

Overview

CrewDock is an open-source, self-hosted control plane for focused AI agents. It manages roles, tasks, approvals, knowledge context, and provides activity and cost visibility. The project is built by Felhen and written in TypeScript.

Best for

Best for
Teams that need a self-hosted governance layer for AI agents with cost tracking.

Use cases

  • Define agent roles and assign tasks
  • Set up approval workflows for agent actions
  • Track agent activity and cost in a self-hosted environment

Notes

CrewDock is an open-source, self-hosted control plane for focused AI agents. It manages roles, tasks, approvals, knowledge context, and provides activity and cost visibility. The project is built by Felhen and written in TypeScript.

2 stars on GitHub. Last updated 2026-10-01. Licensed MIT.

Use cases

  • Define agent roles and assign tasks
  • Set up approval workflows for agent actions
  • Track agent activity and cost in a self-hosted environment

Pros

  • Open-source and self-hosted, giving full control over data
  • Includes cost visibility for agent operations
  • Written in TypeScript, familiar to many developers

Cons

  • Early-stage project with very few GitHub stars
  • Self-hosting requires infrastructure and maintenance
  • Community support only, no commercial backing

Indexed from awesome-llmops and enriched against its public facts.

Pros

  • Open-source and self-hosted, giving full control over data
  • Includes cost visibility for agent operations
  • Written in TypeScript, familiar to many developers

Cons

  • Early-stage project with very few GitHub stars
  • Self-hosting requires infrastructure and maintenance
  • Community support only, no commercial backing
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