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Related Servers

Alternatives to Linksee Memory

  • A
    license
    A
    quality
    B
    maintenance
    Gives your AI persistent memory across conversations. Stores facts automatically, finds them by meaning using hybrid search with query expansion, and organizes everything into topics without manual tagging.
    18
    1
    MIT

Related Servers

  • A
    license
    Not graded
    quality
    A
    maintenance
    Local-first, file-based memory layer for AI agents — one shared Markdown vault across Claude, Codex, Gemini, Cursor and any MCP client. Provides read/write memory tools with an audit trail, per-agent trust levels, and Git sync; no cloud and no lock-in.
    2
    MIT
  • F
    license
    Not graded
    quality
    C
    maintenance
    Local-first cross-agent memory for AI coding agents. Persistent, shared memory over MCP — what you tell one agent can be recalled by another — with all data stored in a single local SQLite file, no cloud and no API keys.
    -
  • A
    license
    Not graded
    quality
    A
    maintenance
    Local-first persistent memory for coding agents and MCP clients. It keeps important project context across sessions and reduces wasted tokens by retrieving only relevant memories instead of replaying unnecessary history.
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Local-first AI memory layer with hybrid retrieval and brain-inspired namespaces. Enables agents to save, search, and manage memories directly via MCP tools.
    5
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Local-first, source-traceable memory for AI agents — no LLM at ingest, $0 per message, zero data egress. Gives Claude Code, Cursor, and any MCP client one shared persistent memory with semantic recall, belief revision, selective forgetting, and a provenance guard that blocks acting on stale or unconfirmed memories.
    23
    14
    MIT

TDQS

A4.5/5.0

Scored across 8 tools

Disambiguation5/5

Each tool has a clear, distinct purpose: memory storage (remember), editing (update_memory), retrieval (recall, recall_file, list_entities), deletion/consolidation (forget, consolidate), and file caching (read_smart). There is no overlap that would cause misselection.

Naming Consistency4/5

Most tools follow a verb or verb_noun pattern (e.g., consolidate, forget, list_entities, recall, recall_file, remember, update_memory). 'read_smart' breaks this pattern with a verb_adjective form. Overall, the naming is mostly consistent with minor deviations.

Tool Count5/5

With 8 tools, the count is well within the ideal range for a memory management server. Each tool serves a necessary function without being redundant or excessive.

Completeness4/5

The tool set covers the core CRUD operations for memories, along with consolidation and file-specific retrieval. A direct 'get_memory_by_id' tool is missing, but recall can retrieve specific memories, so the gap is minor and workable.

Maintenance

ActivityMaintained
ResponsivenessNo issues