tinmemProvides persistent memory management for storing, retrieving, updating, and deleting user-related information across conversations in OpenClaw AI.
Install via ClawdBot CLI:
clawdbot install tincomking/tinmemGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 21, 2026
An AI support agent uses the memory system to recall past user issues and preferences, enabling personalized troubleshooting and proactive suggestions. This reduces repeat explanations and builds user trust through continuity.
A virtual assistant stores patient history, treatment preferences, and symptoms over time, allowing for tailored health advice and tracking of recurring patterns. This improves care consistency and patient engagement.
An AI tutor remembers student learning gaps, preferred topics, and past mistakes to adapt lessons and provide targeted feedback. This enhances learning outcomes by personalizing the educational experience.
The system tracks project details, team decisions, and solved problems, helping teams avoid redundant work and maintain context across meetings. This boosts productivity and project continuity.
An AI agent stores user shopping habits, product preferences, and past purchases to recommend items and remember sizing or brand choices. This increases sales through tailored suggestions.
Offer the memory system as a cloud-based API with tiered pricing based on memory storage and query volume. This provides recurring revenue and scales with customer usage across industries.
Sell on-premise or custom deployments to large organizations needing data privacy and integration with existing systems. This includes support and customization services for high-value clients.
Provide a free tier for developers to integrate basic memory features into AI agents, with paid upgrades for advanced analytics and higher limits. This drives adoption and upsells from a broad user base.
💬 Integration Tip
Start by integrating memory_recall for context retrieval in user interactions, then gradually add memory_store for key information to build a persistent knowledge base.
Scored Apr 19, 2026
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