OpenClaw Memory Is Broken: Context Compaction Silently Drops Instructions and Constraints

One of the three most-upvoted complaint categories on r/openclaw. OpenClaw memory system loses context when compaction fires: summaries are lossy by design, dropping details and constraints. Instructions in conversation vanish on compaction or session restart. GitHub issue #43747 documents the chaos. Architectural problem: summarize-and-delete vs preserve.

Product Idea from this Signal

A background service that preserves full OpenClaw conversation history and extracts durable rules from agent sessions, preventing context compaction from silently dropping instructions

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OpenClaw loses memory because it summarizes, and summaries are lossy by design. When a long session hits the token limit, compaction drops details, nuance, and specific constraints. Instructions that only exist in conversation vanish on restart. GitHub issue #43747 ('Memory management is in chaos') has 234 reactions. This service runs alongside the OpenClaw gateway, intercepts every conversation turn before compaction fires, extracts structured rules and constraints into persistent files the agent reads on every future turn, and verifies no instruction drift occurs across sessions.

BACKGROUND-SERVICEOPEN-SOURCEMEMORYRELIABILITY

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