abhi1693

abhi1693 / openclaw-mission-control

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AI Agent Orchestration Dashboard - Manage AI agents, assign tasks, and coordinate multi-agent collaboration via OpenClaw Gateway.

ai-agents automation openclaw orchestration
1,219
305
100% credibility
Found Feb 13, 2026 at 52 stars 23x -- 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 a dashboard for teams to orchestrate AI agents, manage tasks, handle approvals, and coordinate across projects with unified visibility.

How It Works

1
🔍 Discover Mission Control

You hear about Mission Control, a friendly dashboard to coordinate teams of smart helpers for your projects.

2
🛠️ Set it up at home

Follow simple steps to get it running on your computer, no tech expertise needed.

3
🌐 Open your dashboard

Visit the web page that appears and see your new control center ready to go.

4
🏢 Build your team space

Create spaces for your projects and invite helpful agents to join and collaborate.

5
📋 Plan and assign work

Add tasks, set goals, and let agents handle the details with your oversight.

6
✅ Review and approve

Check progress, give approvals, and keep everything on track smoothly.

🎉 Your projects thrive

Watch your team of agents deliver results while you stay in control effortlessly.

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Star Growth

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AI-Generated Review

What is openclaw-mission-control?

OpenClaw Mission Control is a self-hosted dashboard for orchestrating AI agents in the OpenClaw framework. It lets teams manage organizations, boards, tasks, approvals, and gateways through a unified UI and API, handling multi-agent collaboration with activity feeds, heartbeats, and human-in-the-loop gates. Built with Python FastAPI backend, TypeScript Next.js frontend, and Postgres, it spins up via Docker Compose for quick local testing at localhost:3000.

Why is it gaining traction?

Unlike basic agent github repos or copilot-style tools, it provides an agent orchestration platform with built-in governance like approvals and audits, plus gateway-aware coordination for distributed runs. Developers dig the operations-first design—real-time streams for task comments, board memory, and metrics—making it a practical agent orchestration tool beyond simple scripting. Early adopters on Reddit and Hacker News praise its API-first model for automating workflows without tool sprawl.

Who should use this?

Platform engineers deploying OpenClaw self-hosted for team-scale agent ops, especially those needing approval flows for sensitive tasks. Ops teams coordinating google github agent or claude code agents across boards, or devs building agent github actions with n8n-style patterns but wanting a central hub. Ideal for microsoft github openai integrations requiring audit trails and multi-agent handoffs.

Verdict

Try it if you're in the OpenClaw ecosystem—solid Docker setup and docs make prototyping fast, but with 47 stars and 1.0% credibility, treat as alpha: run make check, validate migrations, and test in staging before prod. Promising agent orchestration framework, just needs more battle-testing.

(198 words)

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