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OpenClaw Mission Control
Jigar Patel
1 min read
Goal
Build an operational view over distributed OpenClaw agents so operations are no longer ad-hoc shell sessions.
Architecture Highlights
- Control plane API
- Centralizes desired state and command intent.
- Worker heartbeat model
- Agents publish periodic liveness + version metadata.
- Command bus + idempotency
- Executions are idempotent by command key to avoid duplicate remediations.
- Policy rules
- Alert conditions map to deterministic actions (restart, drain, isolate, notify).
- Session traceability
- Every operation attaches correlation IDs across command, execution, and post-checks.
Implementation Notes
- Partitioned state tables by workspace/tenant to keep multi-agent operations isolated.
- Backpressure controls on inbound status updates to avoid thundering-herd telemetry writes.
- Progressive rollout support with canary execution windows before wide command fan-out.
Why this matters
It turns “manual intervention” workflows into repeatable procedures with explicit state transitions, which improves reliability in incidents and reduces time-to-detect.
Code
- Core project reference: https://github.com/jpatel98/openclaw-mission-control (private repo)
- Related integration surfaces and task runner: https://github.com/jpatel98/openclaw-fullstack-demo-1774326005