Manage and optimize AI agent memory with a neural graph system that stores experiences as interconnected neurons and recalls through spreading activation. Includes tools for auditing memory quality, optimizing recall performance, and transforming unstructured notes into structured memories.
Comprehensive memory quality review across 6 dimensions: purity, freshness, coverage, clarity, relevance, and structure. Generates prioritized findings with specific memory references and actionable recommendations.
Evidence-based memory optimization from real usage patterns. Analyzes recall performance, identifies bottlenecks, suggests consolidation/pruning/enrichment, and tracks improvement over time via checkpoint Q&A.
Structured memory creation workflow. Converts messy notes, conversations, and unstructured thoughts into well-typed, tagged, confidence-scored memories. Uses 1-question-at-a-time clarification to avoid cognitive overload.
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npx claudepluginhub nhadaututtheky/neural-memoryMemory → Evaluation → Credential → Access Control for AI agents. Persistent memory with W3C Verifiable Credentials, capability-based access control, drift detection, and FSRS-6 spaced repetition.
Persistent memory for Claude Code — memories survive across sessions, projects, and machines
Persistent agent memory that survives across sessions — auto-compacting 3-tier memory with hybrid search. Your agent remembers what it learned, decided, and built.
The bridge between Claude's working memory and Basic Memory's durable knowledge graph — session briefings, pre-compaction checkpoints, and capture reflexes
Deja Vu memory layer for AI applications. Add persistent memory, personalization, and semantic search to Claude workflows using the Deja Vu Platform MCP server.
Persistent memory layer for AI agents via Ensue Memory Network