MeisnerDan

MeisnerDan / mission-control

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

208
14
100% credibility
Found Feb 27, 2026 at 156 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

Mission Control is an open-source local dashboard for prioritizing tasks, delegating to AI agents via Claude Code, and supervising their autonomous execution through inboxes and decisions.

How It Works

1
🔍 Discover Mission Control

You hear about a simple dashboard to organize work and let AI helpers take over routine tasks.

2
💻 Set it up on your computer

Download and start the app on your machine – it runs locally with your files.

3
🚀 Load sample missions

Click to fill your dashboard with example projects, tasks, and AI team members to see it in action.

4
📊 See your command center

View tasks sorted by urgency, agent workloads, recent activity, and messages in one glance.

5
💡 Jot down ideas quickly

Dump random thoughts into the brain area, then turn them into organized tasks later.

6
👥 Delegate to your AI crew

Assign tasks to specialized helpers like Researcher or Developer – they get notified automatically.

7
▶️ Press play to launch

Hit the button on a task or project, and watch your AI team start working with live updates.

✅ Supervise and succeed

Review reports in your inbox, make quick decisions when needed, and see missions complete autonomously.

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Star Growth

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AI-Generated Review

What is mission-control?

Mission Control is a local-first TypeScript web app built with Next.js that acts as a command center for managing AI agent workflows. Solo devs delegate tasks to agents like Claude Code or Cursor via a dashboard with Eisenhower matrix prioritization, Kanban boards, goal hierarchies, and an inbox for reports/decisions. It solves the chaos of juggling multiple agents across projects—no shared visibility, no automation—by letting you assign roles, trigger one-click executions, and run a background daemon for 24/7 polling and orchestration, all stored in simple JSON files.

Why is it gaining traction?

Unlike Linear or Asana, it's agent-first with a token-optimized API (92% context compression) that agents can read/write directly, plus slash commands like /orchestrate and /daily-plan for Claude Code integration. The autonomous daemon handles concurrency, retries, and loop detection, while continuous missions auto-dispatch task chains. At 150 stars on GitHub mission control, it hooks devs tired of manual coordination in the agentic era, standing out as a free, open-source tool with 193 tests and no vendor lock-in.

Who should use this?

Solo entrepreneurs or indie hackers delegating coding/research to AI agents across multiple projects. Frontend/backend devs using Cursor/Claude Code who need structured supervision without cloud deps. Early adopters experimenting with multi-agent setups, like running developer/marketer roles in parallel on launch plans or game prototypes.

Verdict

Grab it from mission control github download if you're building agent workflows—solid docs, demo seeds, and daemon make it instantly usable despite 1.0% credibility score and early 150 stars. Maturity shows in test coverage, but expect tweaks for production scale.

(198 words)

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