Mission Control – Open-source task management for AI agents
I've been delegating work to Claude Code for the past few months, and it's been genuinely transformative—but managing multiple agents doing different things became chaos. No tool existed for this workflow, so I built one. The Problem When you're working with AI agents (Claude Code, Cursor, Windsurf), you end up in a weird situation: - You have tasks scattered across your head, Slack, email, and the CLI - Agents need clear work items, context, and role-specific instructions - You have no visibility into what agents are actually doing - Failed tasks just... disappear. No retry, no notification…
Mission Control – Open-source task management for AI agents launched on February 26, 2026 with 45 votes, #596 of 16,628 launches that month and more than 95% of that year's launches.
In plain words
Mission Control is an open-source task management platform designed for teams working with multiple AI agents like Claude Code, Cursor, and Windsurf. It centralizes scattered tasks from various sources, provides agents with clear work items and role-specific instructions, and offers visibility into agent activities. The tool addresses workflow chaos by tracking task progress, automatically retrying failed tasks with notifications, and reducing constant context-switching by organizing work systematically.
written from the facts on this page · September 2026
From the sources
Most productivity app help you organize your tasks, but struggle to keep you motivated. Tasks get checked off, disappear, and progress often feels invisible. Astra-Quest chnages that. Every completed task becomes a mission that advances your journey through the universe, turning daily actions into visible progress and long term momentum
Open-source task management for the agentic era. The command center for solo entrepreneurs who delegate work to AI agents. - MeisnerDan/mission-control
In the maker’s words, at launch
I've been delegating work to Claude Code for the past few months, and it's been genuinely transformative—but managing multiple agents doing different things became chaos. No tool existed for this workflow, so I built one. The Problem When you're working with AI agents (Claude Code, Cursor, Windsurf), you end up in a…
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GitHub Mission ControlOct 2025 · github.blog · ▲146Assign, steer, and track copilot coding agent tasks
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20+ Claude Code agents coordinating on real work (open source)Feb 2026 · github.com · ▲53Single-agent LLMs suck at long-running complex tasks. We’ve open-sourced a multi-agent orchestrator that we’ve been using to handle long-running LLM tasks. We found that single LLM agents tend to stall, loop, or generate non-compiling code, so we built a harness for agents to coordinate over shared context while work is in progress. How it works: 1. Orchestrator agent that manages task decomposition 2. Sub-agents for parallel work 3. Subscriptions to task state and progress 4. Real-time sharing of intermediate discoveries between agents We tested this on a Putnam-level math problem, but the…
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Aviator Agents2025 · aviator.co · ▲97When we asked developers from large engineering teams, almost everyone is using Claude Code, Cursor, or Copilot. But adoption is still inconsistent. Some of us would have 15 agents running in Claude Code at the same time; some would still refuse to use any of them and write code manually. There's a fragmented AI development problem: - Five developers building similar features, and all of them start from scratch - No way to share "here's how we prompt AI to follow our architecture" - No trail of how the AI changes were generated - People leave the company, so does the their knowledge Aviator…
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