Skip to main content
Glama
Sign In
a847840750

MemStack MCP Server

by a847840750
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to MemStack MCP Server

No user-submitted related servers found.

    Related Servers

    • jovememory

      kayroalexandre
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables development agents to keep persistent memory: proposing and reviewing workspace-scoped content, running hybrid search over accepted sources, and resuming projects with auditable history and provenance. It exposes 32 MCP tools over stdio and authenticated Streamable HTTP, with optional embeddings and rerank.
      Apache 2.0

    • genpark-cosine-bm25-reciprocal

      Alpha-Park
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables agents to retrieve relevant context via a zero-dependency hybrid search engine that blends sparse keyword-based lexical ranking with dense vector similarity scores into one fused result set, then refines it with knowledge graph triplet expansion and lost-in-the-middle context reordering. It also provides episodic memory consolidation, recency decay, and semantic query caching, exposed as a JSON-RPC 2.0 stdio MCP server for clients such as Claude Desktop, Cursor, and Windsurf.
      7
      MIT

    • telemem

      TeleAI-UAGI
      A
      license
      A
      quality
      A
      maintenance
      Long-term and multimodal memory for AI agents. Store facts and conversations with add_memory, recall them with search_memories — 8 tools over stdio/SSE/HTTP. Per-character memory isolation, LLM-based semantic deduplication, FAISS + JSON storage, and a fully local option (Ollama, no API key). Drop-in compatible with Mem0.
      8
      154 PyPI
      494
      Apache 2.0

    • kmp-mcp

      underpass-ai
      A
      license
      Not graded
      quality
      A
      maintenance
      Provides a local stdio MCP server that gives AI coding agents a typed, temporal, evidence-backed memory on embedded SQLite, letting them record decisions and constraints, ask why something happened, navigate memory by time, trace proof paths between refs, and export or supersede stored state without rewriting it. It also exposes read-only ChronoLoom view tools so a person and their agent can steer the same multidimensional memory view by semantic intent rather than raw coordinates.
      Apache 2.0

    • MemBridge

      sunqfeng
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables multiple AI agents to share a self-hosted, namespace-scoped cloud memory via a local stdio MCP server that caches valid results locally in SQLite and syncs to a remote MySQL backend. Exposes tools for searching, retrieving, timeline browsing, remembering, forgetting, and syncing memories with versioning, conflict handling, and redaction.
      Apache 2.0

    • local-memory

      Sergey-Vladimirovich-Hankok
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to keep durable long-term memory on the user's own machine, writing sessions and messages into a local SQLite database and retrieving them via keyword, exact, or optional semantic search with surrounding context. Runs entirely offline over stdio, so no cloud service or API key is required to give an agent recall across sessions.
      1
      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

    B3.2/5.0

    Scored across 12 tools

    Disambiguation4/5

    每个工具都明确针对一个资源与动作的组合，但有两组功能重叠：memory_add 与 agent_remember（两者都写入记忆，区别只在身份和团队同步），memory_search 与 agent_recall（都返回上下文，区别只在作用域）。描述说明了区别，但代理仍可能选错。其余工具（profile、consolidate、forget、grant、event_post/pull）各自界限分明。

    Naming Consistency5/5

    所有 12 个工具都采用一致的 noun_verb 命名模式（memory_*、agent_*、team_*、event_*），并使用 snake_case，命名空间前缀恰好对应相关资源族。没有风格混用。

    Tool Count4/5

    12 个工具在较单一领域的合理范围内，每个工具都对应一个明确能力（记忆增删查改与巩固、agent 身份、团队空间、事件流）。稍显庞杂的是 agent_* 和团队相关工具集，但对于多代理记忆系统，数量仍无可厚非。

    Completeness3/5

    记忆生命周期和事件流有良好的增删改查覆盖，但团队空间存在死胡同：team_create 会生成 closed 团队（仅成员可读），却没有用于添加/移除成员、列出团队或删除团队的工具。同样也没有 agent 列表/注销或直接按 ID 获取记忆的工具，迫使代理只能依赖搜索。

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources