mission-control
Open-source dashboard for managing AI agent fleets at scale — provides agent lifecycle management, task orchestration via Kanban board, cost monitoring, GitHub Issues sync, webhook integrations, and real-time activity monitoring.
Score Breakdown
⚙ Agent Friendliness
🔒 Security
RBAC with attribute-based controls. CSRF protection. HMAC-SHA256 webhook signatures. Ed25519 device identity. CSP still has unsafe-inline. Must deploy behind TLS proxy.
⚡ Reliability
Best When
You operate multiple AI agents (especially OpenClaw/Claude Code) and need centralized visibility into their status, costs, and task progress.
Avoid When
You run a single AI assistant and don't need fleet-scale management or cost tracking.
Use Cases
- • Manage and monitor fleets of AI coding agents
- • Track AI agent costs and token usage across models
- • Orchestrate multi-agent workflows with task assignment and review gates
- • Sync AI agent tasks with GitHub Issues for team visibility
- • Audit agent sessions and inspect logs
Not For
- • Running AI agents — this is the control plane, not the execution layer
- • Simple single-agent setups that don't need fleet management
- • Production deployments without a TLS reverse proxy
Interface
Authentication
Session cookies, API keys, Google OAuth. Role-based access (viewer, operator, admin). Ed25519 device identity for gateway handshake.
Pricing
Fully open source MIT license. Self-hosted only.
Agent Metadata
Known Gotchas
- ⚠ Alpha software — APIs, schemas, and configs may change between releases
- ⚠ Designed for OpenClaw gateway integration primarily
- ⚠ Must be deployed behind TLS reverse proxy
- ⚠ Not an MCP server — manages agents that may use MCP
- ⚠ SQLite backend may limit scaling for very large fleets
Alternatives
Full Evaluation Report
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Package Brief
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Scores are editorial opinions as of 2026-03-08.