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TeleAI-UAGI

telemem

by TeleAI-UAGI
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Python
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Alternatives to telemem

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    Related Servers

    • local-memory

      Sergey-Vladimirovich-Hankok
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to keep durable long-term memory on the user's own machine, writing sessions and messages into a local SQLite database and retrieving them via keyword, exact, or optional semantic search with surrounding context. Runs entirely offline over stdio, so no cloud service or API key is required to give an agent recall across sessions.
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    • engram-mcp

      Cartisien
      A
      license
      A
      quality
      C
      maintenance
      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.
      17
      37 npm
      1
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    • Agent Memory Engine

      rgolabs
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to store and recall durable facts, decisions, and lessons over MCP using hybrid semantic and keyword search, typed memories, graph relations, sessions, and time-travel queries. Runs locally with no server process or API key, persisting everything to files that both agents and a CLI can share.
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    • lean-memory

      Wuesteon
      A
      license
      A
      quality
      A
      maintenance
      Embedded, local-first agent memory: facts extracted into a per-namespace SQLite file (vec0 + FTS5) with hybrid retrieval and point-in-time (time-travel) queries. ADD-only history over stdio — no server process, no cloud dependency.
      7
      53 PyPI
      43
      Apache 2.0
    Deploy Server
    Context All Your Agents Can ShareAgents share what they learn, hand off work, and hold it when you switch models. Start with 5 GB free.fulcradynamics.comAd

    TDQS

    A4.2/5.0

    Scored across 8 tools

    Disambiguation5/5

    Each tool has a distinct role: add, get, search, list, update, delete, delete-all, and history. No overlaps or ambiguity; the descriptions clarify the differences between get_memory and get_memories.

    Naming Consistency4/5

    Most tools follow a consistent verb_noun snake_case pattern (add_memory, get_memory, search_memories, update_memory, delete_memory). The exception is memory_history, which is noun_noun, breaking the pattern slightly.

    Tool Count5/5

    The 8 tools cover the full memory lifecycle without bloat. The count is appropriate for a specialized memory server, neither sparse nor excessive.

    Completeness5/5

    The surface covers the complete CRUD spectrum (add, get, update, delete), plus listing, semantic search, delete-all for scope cleanup, and history tracking. No obvious gaps for the stated purpose of long-term memory management.

    Maintenance

    ActivityActive
    ResponsivenessUnresponsive

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