Add shodh-memory skill: persistent context for AI agents #154
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Shodh Memory provides persistent memory across conversations for AI agents. This skill teaches Claude: - When to call proactive_context (every user message) - How to structure memories for optimal retrieval - Memory types and their importance weighting - Retrieval strategies (semantic, associative, hybrid) - Best practices for tagging and organization Features: - Neuroscience-inspired memory consolidation - Hebbian learning for association strengthening - Hybrid decay (exponential + power-law) - Multi-modal retrieval (semantic + graph traversal) GitHub: https://github.com/varun29ankuS/shodh-memory MCP Server: Available on npm
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Summary
Adds shodh-memory skill - a persistent memory system for AI agents that maintains context across conversations.
What this skill teaches Claude:
proactive_context- Every user message to surface relevant memoriesFeatures of the underlying MCP server:
Links
@anthropic-ai/shodh-memoryChecklist