mission-control  by crshdn

AI agent orchestration dashboard for managing and executing AI tasks

Created 2 weeks ago

New!

416 stars

Top 70.6% on SourcePulse

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Project Summary

Mission Control is an AI agent orchestration dashboard designed to manage AI agents, assign tasks, and coordinate multi-agent collaboration. It serves as a project manager for AI workers, enabling users to create tasks, plan them through an AI-guided Q&A process, and automatically dispatch them to specialized AI agents for execution. The primary benefit is streamlining the management and execution of complex AI-driven workflows.

How It Works

The system comprises two main components: Mission Control, a Next.js dashboard, and the OpenClaw Gateway, an AI agent runtime. Mission Control handles user interaction, task creation, and status visualization, communicating with the OpenClaw Gateway via WebSockets. The OpenClaw Gateway, running separately, interfaces with AI providers (like Anthropic, OpenAI, or Google) to execute tasks. Its core approach involves an AI asking clarifying questions to define task requirements, automatically creating a tailored agent based on the answers, and then dispatching the task for execution. This AI-driven planning and agent specialization aims to improve task accuracy and efficiency.

Quick Start & Requirements

  • Primary install/run command: Clone the repository, cd mission-control, npm install, and then npm run dev.
  • Prerequisites: Node.js (v18 or higher), OpenClaw Gateway (install via npm install -g openclaw or use an existing instance), and an AI API Key (Anthropic, OpenAI, Google, or OpenRouter).
  • Setup: Requires creating a .env.local file with OPENCLAW_GATEWAY_URL and OPENCLAW_GATEWAY_TOKEN. OpenClaw must be initialized (openclaw init) and started (openclaw gateway start) separately.
  • Links: Node.js download: https://nodejs.org/.

Highlighted Details

  • AI-guided Q&A process for detailed task planning.
  • Automatic creation and dispatch of specialized AI agents.
  • Support for multiple AI providers including Anthropic, OpenAI, and Google.
  • Flexible multi-machine setup and remote access capabilities, including Tailscale integration.
  • Kanban-style task workflow visualization (Planning → Inbox → Assigned → In Progress → Testing → Review → Done).

Maintenance & Community

Version 1.0.0, the first official working build, has been released. Support and discussions are managed through GitHub Issues and GitHub Discussions. Contributions are welcomed via standard GitHub pull request workflows.

Licensing & Compatibility

The project is released under the MIT License, which is permissive for commercial use and integration into closed-source projects.

Limitations & Caveats

Mission Control requires a separate, running instance of the OpenClaw Gateway. It also depends on external AI provider API keys, incurring associated costs. As v1.0.0 is the first official build, users should anticipate potential ongoing development and refinement. Troubleshooting sections indicate potential issues with gateway connectivity, AI response times, and agent dispatch failures.

Health Check
Last Commit

2 days ago

Responsiveness

Inactive

Pull Requests (30d)
14
Issues (30d)
6
Star History
436 stars in the last 18 days

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