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Tamloot-cc

Retainer

by Tamloot-cc

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      license
      Not graded
      quality
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      maintenance
      Provides a self-hosted shared memory service that lets AI agents capture and recall durable facts, decisions, and context across multiple tools and MCP-capable clients.
      3
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    • A
      license
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      quality
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      maintenance
      Enables AI agents to store, search, and link typed knowledge entities such as memories, people, projects, tasks, and documents over a Streamable HTTP MCP endpoint. Combines hybrid BM25 and vector search with a knowledge graph, and separates short-lived session context from durable memory that future agents can trust.
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    • A
      license
      Not graded
      quality
      A
      maintenance
      Gives AI agents persistent, shared memory by ingesting notes, code, transcripts, and session captures, then serving token-optimized context and hybrid keyword/semantic search over MCP and REST. Agents can classify, promote, and synthesize stored material so each session builds on prior work instead of starting from zero.
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    • A
      license
      Not graded
      quality
      D
      maintenance
      Provides persistent knowledge graph memory for AI agents, enabling them to store, recall, and query facts about people, projects, and relationships across sessions.
      MIT
    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables self-hosted, persistent AI identity and long-term memory across clients, models, and agent surfaces, with multi-resident isolation, shared world knowledge, governed memory writes, correction and forgetting, keyword or optional semantic recall, and MCP or HTTP access.
      59
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    • A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to share a persistent, self-improving memory by ingesting, classifying, synthesizing, and retrieving knowledge from sources like Obsidian vaults, code, and transcripts through MCP and REST APIs. Provides token-optimized, tiered retrieval with full-text and semantic search so every agent session builds on accumulated context.
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    Maintenance

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