memory-coreOpenClaw 长期记忆核心:基于 LanceDB 的向量化长期记忆存储与检索,内置意图/场景隔离以防记忆污染。
Install via ClawdBot CLI:
clawdbot install lilei0311/memory-coreGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
http://localhost:11434Uses known external API (expected, informational)
api.openai.comAudited Apr 17, 2026 · audit v1.0
Generated Mar 20, 2026
Integrate Memory Core into a customer service chatbot to remember past user interactions, preferences, and issues across sessions. This enables personalized responses and efficient troubleshooting without requiring users to repeat information, improving customer satisfaction and reducing resolution times.
Deploy Memory Core in an AI tutor to track a student's learning progress, strengths, and weaknesses over time. It can recall previous lessons and mistakes to tailor future content and exercises, providing a customized learning experience that adapts to individual needs.
Use Memory Core in a healthcare AI to store and retrieve patient history, symptoms, and treatment plans across consultations. This ensures continuity of care by allowing the system to reference past data for accurate diagnoses and personalized health recommendations, while maintaining privacy through local storage.
Implement Memory Core in a project management tool to remember team discussions, decisions, and task details over the project lifecycle. It helps in retrieving relevant context for meetings and updates, reducing information loss and enhancing collaboration among distributed teams.
Integrate Memory Core into a financial planning AI to recall a user's spending habits, goals, and past advice. This enables long-term tracking and personalized financial recommendations, such as savings strategies or investment tips, based on historical data and evolving needs.
Offer Memory Core as a cloud-hosted service with tiered pricing based on usage levels, such as memory storage capacity and retrieval frequency. This model provides recurring revenue and scalability for businesses needing reliable, long-term memory capabilities without managing infrastructure.
Sell licenses for on-premise deployment of Memory Core, targeting organizations with strict data privacy or regulatory requirements. This includes upfront fees for software access and optional support contracts, appealing to enterprises in sectors like healthcare or finance.
Provide a free version of Memory Core with basic memory storage and retrieval, while charging for advanced features like higher accuracy models, increased budget tiers, or integration with other AI tools. This attracts a broad user base and converts them to paying customers over time.
💬 Integration Tip
Ensure proper configuration of the embedding provider and budget settings in config.json to balance performance and cost, and test with sample data before full deployment.
Scored Apr 19, 2026
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