triple-memory-skillComplete memory system combining LanceDB auto-recall, Git-Notes structured memory, and file-based workspace search. Use when setting up comprehensive agent memory, when you need persistent context across sessions, or when managing decisions/preferences/tasks with multiple memory backends working together.
Install via ClawdBot CLI:
clawdbot install ktpriyatham/triple-memory-skillGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Accesses sensitive credential files or environment variables
${OPENAIAI Analysis
The skill integrates standard memory plugins and uses OpenAI's embedding API for its stated purpose of context retention, which is a legitimate external service call. The credential reference (${OPENAI_API_KEY}) is for this known service and follows standard configuration patterns, not indicating credential harvesting.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 1, 2026
A support agent uses Triple Memory to retain customer preferences and past issues across sessions, automatically recalling relevant context when a user returns. It stores decisions like preferred contact methods and product details in Git-Notes, while searching workspace files for troubleshooting guides.
A project manager employs Triple Memory to track decisions, task assignments, and meeting notes across multiple projects. LanceDB auto-captures preferences, Git-Notes structures key decisions with tags, and file search accesses project documentation for quick reference.
A health coaching AI uses Triple Memory to remember client goals, dietary preferences, and progress logs persistently. It auto-recalls past conversations via LanceDB, stores structured health decisions in Git-Notes, and searches workspace files for workout plans or nutrition guides.
A legal assistant leverages Triple Memory to maintain case histories, client preferences, and research findings across sessions. LanceDB provides conversation context, Git-Notes organizes critical legal decisions with importance levels, and file search accesses case files and statutes.
Offer Triple Memory as a premium feature in a monthly subscription plan for AI agents, targeting businesses that need persistent context across user interactions. Revenue comes from tiered pricing based on memory storage capacity and integration support.
Provide consulting services to help companies integrate Triple Memory into their existing AI systems, customizing setups for specific industries like customer support or project management. Revenue is generated through one-time project fees and ongoing maintenance contracts.
License Triple Memory as part of an enterprise AI platform, selling to large organizations that require scalable, secure memory systems with compliance features like GDPR support. Revenue includes upfront licensing costs and annual renewal fees.
💬 Integration Tip
Start by enabling LanceDB with auto-recall for basic conversation memory, then gradually add Git-Notes for structured decisions and file search for workspace docs to avoid overwhelming the system.
Scored Apr 19, 2026
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