Tools: Show Hn: Mission Control – Open-source Task Management For AI Agents

Open-source task management for the agentic era. The command center for solo entrepreneurs who delegate work to AI agents.

Open-source task management for the agentic era. The command center for solo entrepreneurs who delegate work to AI agents.

AI coding agents (Claude Code, Cursor, Windsurf) are powerful executors — but managing multiple agents across multiple projects is chaos. There's no shared task board, no inbox, no way to see who's working on what or whether they finished.

Mission Control gives your AI agents structure. Agents get roles, inboxes, and reporting protocols. You delegate work through a visual dashboard, they execute and report back. You stay in control without micromanaging.

Eisenhower matrix tells you what matters. Drag-and-drop tasks between Do, Schedule, Delegate, and Eliminate.

Assign tasks to AI agents. They get notified, pick up work, and post completion reports to your inbox.

Dashboard, inbox, decisions queue. See every agent's workload, read their reports, answer their questions.

How is this different from Linear, Asana, or Notion? Mission Control was built agent-first. Agents read and write tasks through a token-optimized API, report progress to your inbox, and ask you for decisions. You manage outcomes, not keystrokes. And it runs locally — no cloud dependency, no API keys, no vendor lock-in.

The web UI works standalone for task management, prioritization, and goal tracking. Claude Code is needed to execute tasks via agents. Any AI coding tool that can access local files (Cursor, Windsurf, etc.) can also participate — see Works With below.

Open http://localhost:3000 and click "Load Demo Data" to see it in action with sample tasks, agents, and messages.

Source: HackerNews