Lossless Claw is a local memory distillation tool that transforms raw conversation logs into structured, long-term knowledge while preserving traceability.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install lossless-claw
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install lossless-claw using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Lossless Claw?
Lossless Claw is a sophisticated memory management skill designed to solve the problem of information decay in AI interactions. It functions by performing local distillation on conversation transcripts or session logs, effectively separating high-value signals from conversational noise. By integrating this into your Openclaw Skills workflow, you can ensure that identity details, user preferences, and complex project tasks are never lost between sessions.
The skill operates on a dual-layer architecture: it maintains full short-term logs for complete context traceability while promoting distilled, high-impact data to a structured long-term memory layer. This approach allows your AI agents to build a persistent and accurate personal knowledge base without the overhead of processing redundant or irrelevant dialogue history.
Lossless Claw Use Cases
- Distilling long development sessions into permanent technical documentation and project requirements.
- Extracting and persisting user preferences to create a more personalized AI agent experience.
- Building a structured personal knowledge management system from daily chat interactions.
- Cleaning up noisy logs to optimize context window usage in subsequent AI sessions.
- Maintaining an audit trail of how specific knowledge or tasks were identified by the agent.
How Lossless Claw Works
- The skill reads the input session text or dialogue logs provided by the user.
- It analyzes the content to extract four key dimensions: identity, preferences, tasks, and knowledge.
- The original raw content is archived in a short-term logging layer to ensure the history remains traceable.
- High-value insights are promoted and merged into the structured long-term memory layer.
- A concise, traceable summary is generated to provide a map of the newly acquired knowledge.
Lossless Claw Setup
To utilize Lossless Claw within your Openclaw Skills environment, you can run the distillation script directly via the CLI. Ensure you have the session markdown files ready for processing.
# Analyze a session file and preview the distillation results
python3 scripts/personal_ai_memory.py distill --input /path/to/session.md
# Analyze and apply the changes to the long-term memory layer
python3 scripts/personal_ai_memory.py distill --input /path/to/session.md --apply
Lossless Claw Data Schema & Taxonomy
Lossless Claw organizes data using a hierarchical taxonomy to ensure that your Openclaw Skills remain lightweight and efficient.
| Data Type | Description | Persistence |
|---|---|---|
| Identity | Biographical data and user persona details | Long-term |
| Preferences | Coding styles, language choices, and tool settings | Long-term |
| Tasks | Action items, goals, and project milestones | Long-term |
| Knowledge | Technical facts, logic, and learned concepts | Long-term |
| Session Logs | Full raw transcripts for historical reference | Short-term |
Lossless Claw Advanced Features
- Intelligent noise reduction to filter out conversational filler and redundant information.
- Full traceability mapping that links distilled knowledge back to the original source session.
- Multi-dimensional extraction tailored for developer workflows and task management.
- Local processing to ensure data privacy and security of sensitive session logs.
- Seamless integration with other Openclaw Skills for automated memory updates.
SKILL.md
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