openclaw-memory-proEnhanced AI memory system — vector store, document-level MSA, knowledge graph, collision engine, executable skills, and closed-loop skill evolution.
Install via ClawdBot CLI:
clawdbot install fluffyaicode/openclaw-memory-proGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/FluffyAIcode/openclaw-memory-pro-systemAudited Apr 16, 2026 · audit v1.0
Generated May 8, 2026
Professionals and students use the Memory Pro system to store notes, articles, and conversations as searchable long-term memory. The system auto-distills actionable skills and proactively reminds users of relevant information, reducing cognitive load and enhancing recall.
Research teams leverage the memory system to document experiments, findings, and code snippets. The knowledge graph and collision engine help discover contradictions and blind spots, while skill evolution allows for automated improvement of research workflows.
Customer support teams deploy the memory system to store resolved tickets and common solutions. The system retrieves relevant past solutions and suggests skills (e.g., scripted responses) to agents, improving response time and consistency.
Medical professionals store patient case notes and research articles in the system. The multi-hop reasoning and contradiction detection help identify potential drug interactions or treatment conflicts, while the briefing feature provides daily updates on relevant cases.
Law firms use the memory system to store case documents, precedents, and legal arguments. The system's deep recall and knowledge graph capabilities assist in building case strategies by linking related statutes and prior rulings, and the collision engine highlights contradictory legal principles.
Offer the Memory Pro system as a cloud-based service with tiered subscription plans based on storage limits, number of users, and advanced features like fine-tuning. Revenue comes from monthly or annual subscription fees.
Provide a perpetual license for on-premises deployment to enterprises requiring data sovereignty. Include customization, integration support, and training as add-on services. Revenue from one-time license fees and annual maintenance.
Provide a free tier with basic memory storage and recall. Charge for premium features such as advanced collision engine, skill evolution, fine-tuning, and higher storage/usage limits. Revenue from premium subscriptions and pay-per-use for advanced features.
💬 Integration Tip
Start by integrating the memory-cli commands into your existing workflows, and use the API endpoints for programmatic access. For optimal performance, configure the LLM API key (OpenRouter preferred) and ensure proper tagging and importance scoring during ingestion.
Scored Jun 29, 2026
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