Mission Control

open source

Open-source task management and autonomous daemon for delegating work to AI agents

Updated 2026-03-17

Orchestration PatternsFree· MIT licensed, open source, self-hostedVisit site

Mission Control is a purpose-built task management system for solo operators delegating work to Claude, Cursor, and other AI agents. It solves the core problem of agent coordination: scattered tasks, lost context, failed retries, and constant context-switching. The standout feature is an autonomous daemon that polls your task queue, spawns agent sessions automatically, handles retries, and respects cron schedules, turning a chaotic manual workflow into a single-click activation system.

Use Cases

·Managing multiple AI agents working on parallel tasks without manual task distribution
·Building a reliable task queue with automatic retry logic for agent-executed work
·Scheduling recurring agent-driven workflows (research, development, analysis) on a cron schedule
·Reducing token overhead by injecting only task-relevant context (50 tokens vs 5,400 unfiltered)
·Operating an unattended multi-agent system with visibility into agent status and failures

Key Points

·Autonomous daemon spawns Claude Code sessions automatically, manages retries, and handles concurrency without manual intervention
·Local-first architecture (JSON-based, no cloud dependency, no vendor lock-in) with 193 automated tests for reliability
·Token-optimized API payloads reduce context bloat by 98% (50 tokens vs 5,400), critical for repeated agent spawning
·Built-in agent roles (researcher, developer, marketer, business-analyst) with reusable markdown-defined skills injected into prompts
·Task inbox + decisions queue provides full visibility and audit trail for agent work output

Mission Control

Use Cases

Key Points

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