lossless-claw-use
Lossless Claw Helper
Lossless Context Management plugin for OpenClaw, based on the LCM paper. It replaces OpenClaw's built-in sliding-window compaction with a DAG-based summarization system that preserves every message while keeping active context within model token limits.
What It Does
When a conversation grows beyond the model's context window, OpenClaw normally truncates older messages. LCM instead:
- Persists every message in a SQLite database, organized by conversation.
- Summarizes older message chunks using the configured LLM.
- Condenses summaries into higher-level nodes, forming a DAG.
- Assembles each turn from summaries plus recent raw messages.
- Exposes retrieval tools so agents can search and recall details from compacted history.
Nothing is lost: raw messages remain in the database, summaries link to source material, and agents can drill into compacted history.
Quick Start
Prerequisites
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