KC OpenClaw Supervisor — Local AI Service Supervision and Recovery

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When several AI components work together, a temporary issue in one component should not automatically disrupt the others. KC OpenClaw Supervisor observes components separately, records diagnostic evidence, and takes recovery action only when its safeguards allow it.

Practical configuration

The current working configuration brings together the OpenClaw Gateway, a local LFM model run through llama-server on the primary Windows computer, and a separate Ollama service on a remote server reached through an SSH tunnel. The Supervisor observes the local end of that tunnel and the availability of the service without exposing internal details of the remote infrastructure.

This is a specific deployed configuration, not a claim of universal support for arbitrary services.

Implemented and verified capabilities

• Periodic monitoring of the Gateway, the local LFM, and the SSH tunnel as separate components.
• Checks for process identity, ownership of listening ports, and HTTP health responses.
• Clear distinction between startup, healthy operation, temporary degradation, sustained unresponsiveness, crash, and conflict.
• Waiting and rechecking a temporary health issue instead of restarting too early.
• Controlled recovery of only the affected component when configured conditions are met.
• Conflict protection for unexpected port owners or competing processes: the condition is logged without automatically stopping a foreign process.
• Bounded repeated attempts through delay between failed recoveries and a Gateway restart budget.
• Detailed diagnostic logs for states, checks, decisions, and recovery actions.
• A maintenance mode that pauses recovery actions.
• Operation through Windows Task Scheduler and protection against concurrent Supervisor processes.

Why it matters

The Supervisor makes a local AI infrastructure with cooperating components easier to maintain. Separate observation improves the traceability of failures and helps reduce the risk that a temporary difficulty triggers unnecessary action against a working service. Diagnostic logs provide evidence of what was observed and why a particular action was chosen.

Validation and boundaries

Monitoring of the current configuration has been checked in a real environment. Gateway state scenarios, conflict protections, and controlled recovery have been exercised through isolated functional tests of the production logic. These checks demonstrate behavior in this particular configuration; they are not a guarantee of uninterrupted operation or compatibility with every other environment.

Information and pre-orders

OpenClaw and Liquid AI are names of their respective owners. KC OpenClaw Supervisor is an independent development for managing the specific components described here.