Skip to main content
Glama
AlekseiUL

Agent Memory Control Plane

by AlekseiUL
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to Agent Memory Control Plane

No user-submitted related servers found.

    Related Servers

    • agent-memory

      ac0033
      A
      license
      A
      quality
      B
      maintenance
      Enables agents to manage persistent long-term memory through MCP tools for searching, adding, updating, giving feedback, and forgetting memories, with automated pipelines for redaction, distillation, and reconciliation.
      13
      MIT

    • Procheiron

      logotheusneuro-cpu
      A
      license
      Not graded
      quality
      A
      maintenance
      MCP server that adds a trust layer to AI agent memory, enforcing independent review and tamper-evident audit chains for any memory store. It provides tools to search, get, propose, and promote memories under governance rules.
      MIT
    • Hicortex - AI Fleet Memory by gamaze-labs

      Hicortex - AI Fleet Memoryofficial

      gamaze-labs
      F
      license
      A
      quality
      B
      maintenance
      Shared fleet memory for AI agents — what one agent learns, the whole fleet knows. Nightly self-correction: stale facts rewritten in place, duplicates merged. Recall pushed into every prompt in supported coding agents. Self-hosted.
      8
      11
      2
      -

    • Lumena MCP Server

      QuantmindSSI
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to store, search, assemble, and manage local-first memories through seven MCP tools, including conversation turns, feedback, status, and dashboard access without cloud dependencies.
      AGPL 3.0
    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

    C2.3/5.0

    Scored across 7 tools

    Disambiguation4/5

    Each tool targets a distinct memory operation: search, explain, propose, promote, conflict detection, source retrieval, and health. However, 'propose' and 'promote' could be misconstrued without detailed descriptions.

    Naming Consistency3/5

    All tools share the consistent 'memory_' prefix, but the structure is mixed: search/explain/propose/promote are verbs, while conflicts/health are nouns and source_get is a compound. This creates a readable yet inconsistent pattern.

    Tool Count5/5

    Seven tools is well-scoped for a memory control plane, covering search, analysis, lifecycle management, and health without unnecessary bloat.

    Completeness4/5

    The set covers core memory operations like search, explain, propose, promote, and conflict detection, but lacks direct edit/delete capabilities, which are minor gaps for a full lifecycle.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources