Skip to main content
Glama
teflon07

memkeeper

by teflon07
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Rust
Local

Related Servers

Alternatives to memkeeper

  • mem0-mcp by tensakulabs

    mem0-mcpofficial

    tensakulabs
    A
    license
    A
    quality
    C
    maintenance
    Self-hosted Mem0 MCP server integrating Qdrant, Neo4j, and Ollama for semantic memory search, graph entity relationships, and memory management via OpenMemory API.
    6
    4
    MIT
  • Geniro Graphiti MCP by geniro-io

    Geniro Graphiti MCPofficial

    geniro-io
    A
    license
    Not graded
    quality
    B
    maintenance
    A Model Context Protocol server that provides Claude CLI with a Graphiti knowledge-graph memory backed by Neo4j, featuring synchronous writes and no silent ingestion failures.
    Apache 2.0

Related Servers

  • io.github.oxgeneral/agentmem

    oxgeneral
    A
    license
    Not graded
    quality
    C
    maintenance
    Lightweight persistent memory for AI agents using a single SQLite file with hybrid search (keywords + semantics). Zero to 12MB install, no cloud or server required.
    5
    MIT

  • localmem-mcp

    OpenAgentHQ
    A
    license
    A
    quality
    A
    maintenance
    Gives AI agents persistent, local-first memory using SQLite and on-device embeddings, enabling semantic search and recall across sessions with no cloud calls.
    8
    7
    MIT

  • kepta

    DamianTodorovic
    A
    license
    Not graded
    quality
    B
    maintenance
    Local memory for AI agents in one SQLite file on your own machine. Facts carry a validity window and a confidence score, so an outdated one is superseded and downweighted rather than deleted, and retrieval fuses BM25, vector similarity and a knowledge graph.
    2
    AGPL 3.0

  • polarmem

    m1kuno
    A
    license
    Not graded
    quality
    C
    maintenance
    A local-first memory engine for AI agents that stores embeddings in polar-quantized form in a single SQLite file, enabling private, compact, and human-like recall.
    MIT

  • SharedBrain

    awictor
    A
    license
    Not graded
    quality
    B
    maintenance
    Local-first, multi-user shared memory for AI agents with semantic search, offline support, and team synchronization.
    MIT

  • Strata

    avinash-1707
    A
    license
    Not graded
    quality
    B
    maintenance
    Local-first memory layer for AI agents. Compresses context with a local LLM and serves hybrid search over MCP.
    598 npm
    MIT
Deploy Server
One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A4.1/5.0

Scored across 16 tools

Disambiguation5/5

Every tool has a distinct role: memory retrieval, memory writes, graph traversal/curation, candidate review, and stats are clearly separated. Where overlap could occur (get vs search, pack vs graph_context, remember vs candidate_submit), the descriptions explicitly call out when to use which.

Naming Consistency3/5

Names are readable and consistently snake_case, but they mix single-word verbs (get, remember, forget, verify, pack), object_verb forms (memory_list, entity_search, candidate_submit), and noun phrases (graph_context, dream_graph, graph_neighbors). This makes the naming functional but not predictably patterned.

Tool Count4/5

At 16 tools, the set is slightly above the ideal 3–15 range, but the count is justified by the server's multiple subdomains: memory recall, memory mutation, graph projection, candidate review, and stats. Each tool earns its place without feeling redundant.

Completeness4/5

The server covers the full memory lifecycle for its design: write, retrieve, list, soft-delete, verify, and candidate-driven human review, plus graph curation and maintenance preview. Content updates are intentionally handled via writing a new memory and forgetting the old one; candidate approval/hard deletion are left to human/external channels, which is a reasonable boundary.

Maintenance

ActivitySlowing
ResponsivenessUnresponsive

Resources