neural-memory
Persistent graph memory with associative recall across sessions
All Skills in This Repository (4)
Pure Emerald Level Indicatorsneural-memory
Store and recall AI agent memories via a neural graph with spreading activation.
memory-intake
Convert raw notes into typed memories with tags and confidence scores.
memory-audit
Analyze NeuralMemory brain state and generate prioritized findings reports.
memory-evolution
Analyze memory usage patterns and propose consolidation, pruning, or enrichment actions.
Frequently Asked Questions
FAQPage SchemaHow to install Neural Memory?โผ
Run `npx skills add nhadaututtheky/neural-memory --all -g -y` in your terminal to install all skills in this suite globally.
How to give an AI agent persistent memory?โผ
Neural Memory stores experiences as a connected neuron graph locally, so your agent recalls past decisions and context in every new session without any cloud service.
Does Neural Memory need a vector database or API keys?โผ
No. It runs fully offline on local SQLite using graph traversal and spreading activation, so there are no embedding costs or external dependencies.
Does Neural Memory work with Claude Code and OpenClaw?โผ
Yes. It ships as a plugin and MCP server that works with Claude Code, OpenClaw, Cursor, and other MCP-compatible clients.
How do I keep stored memories clean over time?โผ
Use the built-in memory-audit and memory-evolution skills to find duplicates, resolve contradictions, prune stale entries, and improve recall quality.
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