claw-memory-augmentLong-term memory system for OpenClaw agents. Store, retrieve, and query conversation history and learned information across sessions.
Install via ClawdBot CLI:
clawdbot install indigas/claw-memory-augmentGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://clawhub.ai/skills/memory-augment.gitAudited Apr 18, 2026 · audit v1.0
Generated May 8, 2026
A customer support AI agent uses memory-augment to remember past customer interactions, preferences, and issues across sessions. This enables personalized responses and faster resolution by recalling context without asking customers to repeat themselves.
A project management assistant remembers task progress, team member preferences, and decisions made during meetings. It retrieves relevant past context to provide updates and recommendations, improving team coordination.
An AI coding tutor retains knowledge of a student's learning history, preferred programming languages, and past mistakes. It tailors lessons and exercises based on remembered progress, enhancing the learning experience over time.
A healthcare assistant agent stores patient preferences, medical history notes, and appointment details across visits. It helps streamlines intake by recalling past symptoms and treatments, saving time for both patient and provider.
A content curation agent learns user's content preferences, topics of interest, and reading history to offer personalized article or video recommendations. It remembers which content was liked or skipped to refine future suggestions.
Offer a free tier with limited memory storage (e.g., 100 memories) and a paid subscription for unlimited or larger memory capacity. Revenue comes from monthly or yearly subscription fees.
Charge developers a fee per memory operation (store, search, retrieve) or based on the number of user sessions that utilize memory. This is ideal for B2B platforms embedding memory into their products.
Sell a customized version of memory-augment as a white-label product to enterprises that want a branded long-term memory system for their AI agents. Revenue from one-time integration fee and recurring maintenance/support.
💬 Integration Tip
Start by storing simple user preferences and gradually expand to capture conversation context. Use the built-in commands for quick testing before integrating into your agent’s core logic.
Scored May 8, 2026
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