A sidecar service that monitors OpenClaw memory consumption, garbage-collects stale context between tasks, and auto-restarts before OOM kills
Production OpenClaw deployments report the core process climbing to 28GB RAM by day three even with a 32GB container limit. Long-running agent sessions accumulate context state that never gets garbage collected. First conversation round is 5K tokens, by the tenth round it has grown to 150K. Multi-agent hosting requires 8+ threads and 32GB RAM minimum. The community consistently reports spending more time on infrastructure than on agent workflows. This sidecar watches memory usage, compacts context windows between tasks, and performs graceful restarts before Linux OOM-kills the process.
Demand Breakdown
Social Proof 3 sources
Gap Assessment
2 tools exist (OnlyTerp/openclaw-optimization-guide, ClawMetry) but gaps remain: Static documentation only. No automated monitoring, no context compaction, no auto-restart. User must manually implement every recommendation.; Read-only monitoring. No memory management actions, no context compaction, no restart orchestration..
Features3 agent-ready prompts
Competitive LandscapeFREE
| Product | Does | Missing |
|---|---|---|
| OnlyTerp/openclaw-optimization-guide | Documentation guide covering speed optimization, memory architecture, and context management best practices | Static documentation only. No automated monitoring, no context compaction, no auto-restart. User must manually implement every recommendation. |
| ClawMetry | Observability dashboard for token costs, sub-agent activity, cron jobs, session history | Read-only monitoring. No memory management actions, no context compaction, no restart orchestration. |
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