engramaiNeuroscience-grounded memory for AI agents. Add, recall, and manage memories with ACT-R activation, Hebbian learning, and cognitive consolidation.
Install via ClawdBot CLI:
clawdbot install shing19/engramaiRequires:
Grade 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/tonitangpotato/neuromemory-aiAudited Apr 17, 2026 · audit v1.0
Generated May 12, 2026
An AI assistant for individual users that learns preferences, habits, and important facts over time. The system stores user-specific relational and factual memories, recalls them in context, and consolidates periodically to retain critical information while forgetting noise.
A customer support chat system that remembers past interactions, solutions, and user preferences. The memory system stores procedural knowledge for troubleshooting and reward feedback to strengthen effective solutions, improving resolution speed and accuracy.
An educational app that remembers a student's learning progress, strengths, and weaknesses. It stores episodic memories of lessons and factual knowledge, using recall to adapt content and consolidate daily to optimize spaced repetition.
A virtual health assistant that stores patient-specific preferences, treatment plans, and lifestyle habits. It uses memory recall to provide personalized reminders and health tips, with consolidation to maintain relevant information over time.
Offer a free tier with basic memory limits (e.g., 10MB) and a premium subscription for unlimited storage, advanced analytics, and priority support. Revenue from monthly/annual subscriptions.
Provide the engramai memory system as an API for developers to integrate into their own applications. Charge per memory operation (store/recall/consolidate) or via tiered API plans.
Sell a white-label version of engramai as a cognitive memory module for enterprise AI platforms (e.g., customer service bots, internal knowledge assistants). Revenue from per-seat licensing or one-time integration fee plus support contract.
💬 Integration Tip
Use the engramai library alongside file-based logs for transparency and debugging. Run consolidation and pruning nightly via cron or heartbeat to maintain memory health.
Scored Jul 2, 2026
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