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Glama

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    • A
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      quality
      B
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      Enables AI agents to manage a local-first, zero-cloud lifelong memory with 33 tools for adding, recalling, searching, consolidating, forgetting memories, traversing knowledge graphs, and checking sync/health status.
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    • A
      license
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      maintenance
      Agent-agnostic persistent memory backend. 13 MCP tools, Supabase + Jina embeddings, multi-profile isolation, semantic recall across sessions.
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    • A
      license
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      Persistent semantic memory for AI agents. SQLite-backed, local-first, zero config. Semantic search via Ollama embeddings with keyword fallback. Tools: remember, recall, history, forget, stats.
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    • A
      license
      Not graded
      quality
      B
      maintenance
      Gives AI agents a local-first, persistent memory backed by a single SQLite file, letting them save decisions, preferences, and facts, then recall them by meaning or keyword across sessions and projects. Exposes tools for loading pinned context, searching, adding, updating, listing, and deleting memories, so agents stop forgetting between sessions.
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    TDQS

    A3.9/5.0

    Scored across 23 tools

    Disambiguation4/5

    Most tools have distinct purposes, but there is some overlap between audit and replay_timeline (both show operations) and between list_memories and recall (list vs search). However, descriptions clarify differences.

    Naming Consistency3/5

    Naming conventions are mixed: some use verb_noun (remember, create_space), some noun_noun (cortex_insights, memory_stats), and some single word (audit). Not fully consistent.

    Tool Count5/5

    23 tools is well-scoped for a comprehensive memory system with knowledge graphs, spaces, replay, and Cortex features. Each tool serves a distinct purpose.

    Completeness3/5

    Covers most CRUD operations for memories and spaces, but lacks update_memory and update/delete for triples. Replay and Cortex features are thorough.

    Maintenance

    ActivityInactive
    ResponsivenessUnresponsive