Memory Search Mcp
This is a persistent memory layer for Claude that stores and retrieves conversation context using semantic search. It tracks what the AI cares about through weighted episodes, links related memories into temporal chains, and consolidates information over time into a queryable knowledge base. You'd reach for this when you need Claude to remember context across sessions without re-explaining background, or when building assistants that need to recall past interactions, preferences, or decisions. The system is built with EU AI Act compliance features baked in, including bias detection and transparency tooling. Install via pip or Smithery, and it plugs in through standard MCP stdio transport.
- tools
- 3
- transport
- STDIO
- last updated
- Aug 19, 2026
Tools
3 toolsPublic tool metadata for what this MCP can expose to an agent.
record_memory
No parameter schema in public metadata yet.
search_memory
No parameter schema in public metadata yet.
add_knowledge
No parameter schema in public metadata yet.
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Memory Search MCP
Persistent AI memory system with semantic search, care-weighted episodes, temporal chains, knowle...
Persistent AI memory system with semantic search, care-weighted episodes, temporal chains, knowledge base, and memory consolidation.
Quick Install
Details
- Repository
- github.com/csoai-org/memory-search-mcp
- Categories
- AI & LLM Tools, Search & Web Crawling
- Package
memory-search-mcp- Transport
- STDIO
- Registry
- MCP registry, active
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