neural-memoryAssociative memory with spreading activation for persistent, intelligent recall. Use PROACTIVELY when: (1) You need to remember facts, decisions, errors, or context across sessions (2) User asks "do you remember..." or references past conversations (3) Starting a new task — inject relevant context from memory (4) After making decisions or encountering errors — store for future reference (5) User asks "why did X happen?" — trace causal chains through memory Zero LLM dependency. Neural graph with Hebbian learning, memory decay, contradiction detection, and temporal reasoning.
Install via ClawdBot CLI:
clawdbot install nhadaututtheky/neural-memoryGrade Excellent — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/nhadaututtheky/neural-memoryAudited Apr 16, 2026 · audit v1.0
Generated Feb 24, 2026
Support agents use NeuralMemory to recall past customer interactions, decisions, and error resolutions across sessions. When a customer asks 'do you remember my issue last week?', the agent proactively injects relevant context, improving response accuracy and reducing repetition.
Development teams store decisions, errors, and TODOs in NeuralMemory to maintain project context. During sprint planning, they recall past causal chains to understand why deployments failed, enabling better planning and knowledge retention across team members.
Healthcare providers use NeuralMemory to track patient preferences, treatment decisions, and error logs over time. When starting a new consultation, the system recalls relevant past events and contradictions, aiding in personalized care and compliance tracking.
Legal professionals leverage NeuralMemory to store case facts, decisions, and causal relationships. When researching 'why did a precedent case fail?', the tool traces causal chains through memory, helping build stronger arguments and avoid past mistakes.
Tutoring platforms integrate NeuralMemory to remember student errors, learning preferences, and progress across sessions. At the start of each lesson, it injects context from past interactions, providing tailored guidance and tracking long-term learning patterns.
Offer NeuralMemory as a cloud-based service with tiered pricing based on memory capacity and advanced features like contradiction detection. Revenue comes from monthly subscriptions, targeting enterprises needing persistent AI memory across teams.
Sell licenses for on-premise deployment in regulated industries like healthcare or finance, where data privacy is critical. Revenue includes upfront license fees and annual support contracts, ensuring compliance and customization.
Partner with AI platform providers to bundle NeuralMemory as a core memory module. Revenue is generated through revenue-sharing agreements and API usage fees, expanding reach to developers building intelligent agents.
💬 Integration Tip
Ensure the NEURALMEMORY_BRAIN environment variable is set and verify installation with nmem stats before integrating into MCP workflows.
Scored Jun 19, 2026
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