Skip to main content
Glama

Related Servers

Alternatives to polyg-mcp

No user-submitted related servers found.

    Related Servers

    • A
      license
      Not graded
      quality
      A
      maintenance
      A graph-based MCP server that provides AI coding agents with persistent memory to store patterns, track complex relationships, and retrieve knowledge across sessions. It leverages graph structures to handle temporal queries and relational paths that traditional vector stores often miss.
      244
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      MCP server providing AI agents with a typed-edge graph memory layer that enables bounded hallucination, surgical forgetting, and audit trails, supporting multiple clients like Claude Desktop and Cursor.
      Apache 2.0
    • A
      license
      Not graded
      quality
      A
      maintenance
      Graph-relational memory MCP server for persistent LLM memory, featuring wikilinks, BM25 auto-linking, spreading activation, and synaptic decay across five memory layers.
      MIT
    • A
      license
      B
      quality
      B
      maintenance
      Causal graph memory engine for AI agents. Scores memories using relevance × connectivity × reactivation, connects them in a causal graph, and actively forgets irrelevant ones. 11 MCP tools including store, recall, search, traverse, and explain.
      13
      24
      AGPL 3.0
    • A
      license
      A
      quality
      D
      maintenance
      A persistent, event-sourced knowledge graph MCP server for AI coding agents that enables semantic search, tiered context retrieval, and git-based version control of AI memory.
      31
      2
      MIT
    • A
      license
      Not graded
      quality
      F
      maintenance
      Model-agnostic code memory MCP server using budget-aware graph retrieval for AI agents, providing sub-millisecond queries, token budgeting, and deterministic results without embeddings or vector databases.
      34 npm
      24
      MIT