Skip to main content
Glama
Avinash-jetwani

jevmem

by Avinash-jetwani
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Local

Related Servers

Alternatives to jevmem

No user-submitted related servers found.

    Related Servers

    • projectmem

      liv114514
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI coding agents to persist project memory across sessions by compiling decisions, progress, and pitfalls into git-linked, evidence-backed entries. It lets clients add, query, inject, scan for stale, check assertions on, and compute ROI of those memories over stdio.
      MIT

    • gitmem

      KuraPiee
      A
      license
      Not graded
      quality
      C
      maintenance
      Gives AI coding agents persistent, branch-aware memory and a dependency-tracked task graph by storing decisions, lessons, and tasks as plain JSON and Markdown committed directly into the repository. Agents can record and fuzzy-search past decisions, dump instant project context, and create, claim, complete, and query tasks whose completion automatically unblocks downstream work.
      MIT

    • beadless

      KuraPiee
      A
      license
      Not graded
      quality
      B
      maintenance
      Provides AI coding agents with git-native persistent memory and a dependency-aware task graph, letting them record and fuzzy-recall architectural decisions, lessons, and gotchas while creating, claiming, and completing tasks that auto-unblock downstream work. Stores everything as plain JSON and Markdown committed inside the repository, so context stays branch-aware, team-shared, and reviewable in pull requests.
      11 npm
      MIT

    • obsidian-dev-memory

      jmjava
      A
      license
      A
      quality
      B
      maintenance
      Provides AI coding assistants persistent engineering memory stored as Markdown files in an Obsidian vault, enabling project context retrieval, session capture, decision recording, and memory search without requiring Obsidian to be running.
      7
      1
      MIT

    • Waystone

      hb407033
      A
      license
      A
      quality
      A
      maintenance
      Enables AI coding assistants to contribute to and query a team-shared project memory, storing human-confirmed decisions with source and scope so work can continue across machines.
      12
      Apache 2.0
    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

    A3.9/5.0

    Scored across 4 tools

    Disambiguation5/5

    list_memory and search_memory both retrieve memories, but one returns all live memories while the other ranks by relevance to a query; add_memory and audit_memory have clearly distinct actions. No two tools overlap in purpose.

    Naming Consistency5/5

    All tool names follow a consistent snake_case verb_noun pattern: list_memory, search_memory, add_memory, audit_memory. There are no deviations or mixed conventions.

    Tool Count5/5

    Four tools cover the core operations of the memory server: listing, searching, adding, and auditing. This is well-scoped and neither excessive nor thin for the domain.

    Completeness3/5

    The server supports create (add_memory), read (list_memory, search_memory), and a limited update (audit_memory flagging stale items). There is no delete or full edit operation, so lifecycle coverage is notably incomplete.

    Maintenance

    ActivityMaintained
    ResponsivenessResponsive

    Resources