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Related Servers

Alternatives to MIHAD

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    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Provides coding agents with structured planning, persistent project memory, automated verification, and safety permission controls through MCP tools, enabling better planning, context retention, self-checking, and guarded execution.
      3 npm
      MIT
    • A
      license
      Not graded
      quality
      C
      maintenance
      Provides AI coding agents with deterministic, attestable org memory via an MCP server, enabling automatic recall of relevant facts on every prompt, loss-proof capture of learnings, and curated promotion of verified facts to a tenant-isolated memory store.
      Apache 2.0
    • A
      license
      Not graded
      quality
      A
      maintenance
      Gives AI coding agents a persistent memory that carries across sessions and projects, letting them save and search decisions, bug fixes, and discoveries through MCP tools. Each new session loads the recent memories of the current project so agents resume with the same context instead of re-explaining it.
      5
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables teams of AI coding agents (Claude Code, Cursor, Codex) to share persistent, time-aware graph memory and coordinate their work via MCP, so agents recall verified fixes at the moment of failure, learn procedures automatically, avoid file conflicts, claim tasks race-free, and hand off facts and decisions between sessions.
      MIT
    • F
      license
      B
      quality
      B
      maintenance
      Provides AI coding agents with a hybrid cognitive memory engine that reduces token usage, prevents amnesia, detects repetitive error loops, and retrieves relevant code context through MCP.
      6
      -

    TDQS

    A3.7/5.0

    Scored across 4 tools

    Disambiguation5/5

    Each tool targets a distinct action on memory items: recall (read), propose (create), correct (invalidate), and report_outcome (feedback). Their purposes do not overlap, and the descriptions clearly delineate when to use each.

    Naming Consistency5/5

    All tools follow a consistent memory_<verb> snake_case pattern: memory_recall, memory_propose, memory_correct, memory_report_outcome. The convention is predictable and readable.

    Tool Count5/5

    Four tools is well-scoped for a persistent memory interface, covering the essential agent interactions without redundancy. Each tool earns its place in the memory lifecycle.

    Completeness4/5

    The set covers read, create, invalidate, and feedback, but lacks explicit update or delete operations. Agents can work around this by proposing new items and marking old ones as wrong, so the gap is minor.

    Maintenance

    ActivityMaintained
    ResponsivenessSyncing