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AI Memory

by eyyit
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Python
Remote

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    • arra-memory-lab

      Soul-Brews-Studio
      F
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      Enables trustworthy AI memory operations including authoritative memory creation, hybrid recall with provenance, evidence tracking, and safe dry-run-first forget and rebuild operations through a stateless MCP endpoint.
      2
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    • ROOTMEM

      m1r4g3-code
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      quality
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      Enables MCP clients to persist, recall, update, forget, and search agent memories over stdio, backed by Postgres with pgvector for vector search. Supports cross-session memory validation with per-operation latency and outcome logging.
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    • fortytwo-guide

      justfortytwo
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      quality
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      maintenance
      A semantic-memory MCP server that stores text 'memories' with provenance and enables recall by meaning (vector search), keyword (FTS5), or structured filters.
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    • Ghostkeep

      Akshu24Tech
      F
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      quality
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      Enables AI agents to store, search, and resolve shared memories with full provenance, conflict detection, and an audit trail across MCP-compatible clients.
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    • memser

      masikgit
      A
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      quality
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      Provides MCP agents with persistent memory operations (store, recall, forget, consolidate, list) backed by Redis, Postgres, and pgvector, including semantic search and background consolidation.
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