Skip to main content
Glama
topoteretes

cognee-mcp

by topoteretes
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to cognee-mcp

No user-submitted related servers found.

    Related Servers

    • Mnemo MCP by expandingideas-ai

      Mnemo MCPofficial

      expandingideas-ai
      A
      license
      Not graded
      quality
      D
      maintenance
      Persistent AI memory server with hybrid search and embedded sync. Enables AI agents to store, retrieve, and manage information across sessions with temporal knowledge graph support.
      MIT

    • local-memory-mcp

      mason-yb-zhang
      F
      license
      Not graded
      quality
      C
      maintenance
      Provides AI agents with persistent, local cross-session shared memory by combining vector semantic retrieval with knowledge graph relationships, and supports short/long-term memory management and local backups.
      -

    • dejaview-mcp

      JakeC77
      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

    • simple-good-llm-memory-mcp

      esinecan
      F
      license
      Not graded
      quality
      F
      maintenance
      Enables LLMs to store, search, and manage memories with hybrid semantic and keyword search using ChromaDB and Neo4j for persistent memory and knowledge graph capabilities.
      -

    • remembrallmcp

      roboticforce
      A
      license
      Not graded
      quality
      A
      maintenance
      Persistent knowledge memory layer for AI agents. Hybrid semantic + full-text search with pgvector, code dependency graph with blast-radius impact analysis, and incremental indexing for 7 languages. In-process ONNX embeddings, no external API required.
      31 npm
      35
      MIT
    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

    A4.1/5.0

    Scored across 5 tools

    Disambiguation5/5

    Each tool has a clearly distinct purpose: remember stores, forget deletes, recall searches, call_tool executes, and search_tools finds tools. No overlap or ambiguity exists between them.

    Naming Consistency4/5

    Tool names mostly follow a verb pattern, but three are single verbs (remember, forget, recall) while two are verb_noun compounds (call_tool, search_tools). This is a minor inconsistency but still predictable and readable.

    Tool Count5/5

    Five tools is well within the ideal 3-15 range, and each tool earns its place for a memory management server, covering core operations without excess.

    Completeness5/5

    The tool surface covers the full memory lifecycle: ingestion (remember), retrieval (recall), and deletion (forget), plus tool discovery and execution for extensibility. No obvious gaps for the stated purpose.

    Maintenance

    ActivityActive
    ResponsivenessWithin a week

    Resources