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Lossless Claw is an advanced context management plugin for the OpenClaw agent ecosystem that redefines how conversational memory is handled in large language model systems. Instead of relying on traditional sliding-window truncation or lossy summarization, it introduces a lossless architecture that preserves all historical messages while maintaining usable context within token limits. The system stores every interaction in a persistent database and incrementally summarizes older content into a hierarchical directed acyclic graph, allowing efficient compression without discarding information. This structure enables agents to dynamically reconstruct detailed context by expanding summaries when needed, effectively simulating perfect long-term memory.
Features
- Lossless context management without message deletion
- Persistent storage of conversations in SQLite database
- DAG-based hierarchical summarization system
- Dynamic context reconstruction via expandable summaries
- Built-in tools for memory search and retrieval
- Automatic background compaction within token limits
Project Samples
