mission-control
Self-hosted AI agent orchestration platform: dispatch tasks, run multi-agent workflows, monitor spend, and govern operations from one mission control dashboard.
About mission-control
Self-hosted AI agent orchestration platform: dispatch tasks, run multi-agent workflows, monitor spend, and govern operations from one mission control dashboard.
What you should know about mission-control
mission-control — Self-hosted AI agent orchestration platform: dispatch tasks, run multi-agent workflows, monitor spend, and govern operations from one mission control dashboard.. It is categorized under AI Tools and primarily built with TypeScript. The project has gathered 5,003 stars and 869 forks on GitHub, indicating a healthy and active community.
Pricing & licensing: This tool is offered free of charge , released under the MIT license. The source code is openly available on GitHub, allowing engineers to audit, contribute, or fork as needed.
Use cases & topics: mission-control is associated with the following topics: agent-orchestration, ai-agents, ai-automation, ai-dashboard, claude, dashboard, developer-tools, llm. Teams working in agent-orchestration / ai-agents / ai-automation spaces typically evaluate this kind of tool when scoping new architecture decisions or replacing legacy components.
Getting started: Check out the official GitHub repository for installation steps, configuration examples, and the latest release notes. Most teams hit value within the first week if the tool aligns with their existing AI Tools stack.
Editor's note from Fanny Engriana (Founder, Wardigi Digital Agency): when evaluating tools in the AI Tools category for our agency clients, we look at three things first — license clarity, community size, and active maintenance. Tools with explicit license terms and ongoing commits tend to remain viable across multi-year projects.