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miguelvictor

personal-memory-mcp

by miguelvictor

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      A
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      Enables Claude Code and other MCP-capable agents to turn conversations into structured long-term memories, deciding whether each extracted fact is new, an update, or already known while preserving superseded history. It also lets agents recall the right facts through hybrid keyword and entity-graph search, list what is stored, and permanently forget entries.
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    • A
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      Enables MCP clients such as Claude Code and Claude Desktop to keep long-term memory: store facts with remember, retrieve them with recall, and submit feedback so rankings adapt to which memories actually helped across tasks. It also infers outcomes when feedback is skipped, retiring replaced facts and demoting useless look-alikes while staying within a token budget.
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    • A
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      Enables multiple MCP agents to read and write a single user-controlled, local-first fact layer under one user identity with explicit scopes, preserving sources, versions, permissions, and audit history. Supports structured memories such as preferences, facts, task state, and decisions, plus structured handoff capsules so one agent can resume another's work by task ID.
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    • A
      license
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      maintenance
      A self-hosted remote MCP server that gives multiple AI assistants one shared, plain-Markdown memory of the user's long-lived facts, so context carries across Claude, ChatGPT, Gemini and Grok instead of being repeated. It exposes a small tool set for retrieving context, searching, reading, adding, updating and deleting facts, plus an append-only daily conversation journal, with server-enforced duplicate, sensitive-data and per-identity permission rules.
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    • A
      license
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      quality
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      Enables MCP clients such as Cursor, Claude, and Windsurf to store and recall user preferences, behaviors, and other text-based information across conversations, using vector similarity search so conceptually related items are found even when exact keywords differ.
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