Skip to main content
Glama

Related Servers

Alternatives to Mnemosyne OS

  • 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
  • A
    license
    Not graded
    quality
    A
    maintenance
    Local-first, source-grounded memory for AI agents, with citations, bitemporal history, review-gated corrections, and MCP tools for search and recall.
    3
    Apache 2.0
  • A
    license
    Not graded
    quality
    B
    maintenance
    Provides a local-first, source-cited memory layer for AI agents, with MCP tools to search, read, explain sources, and propose/apply memory updates.
    23 npm
    6
    Apache 2.0
  • A
    license
    Not graded
    quality
    A
    maintenance
    Local memory for AI agents in one SQLite file on your own machine. Facts carry a validity window and a confidence score, so an outdated one is superseded and downweighted rather than deleted, and retrieval fuses BM25, vector similarity and a knowledge graph.
    3
    MIT

Related Servers

  • F
    license
    Not graded
    quality
    C
    maintenance
    Provides AI agents with persistent, local cross-session shared memory by combining vector semantic retrieval with knowledge graph relationships, and supports short/long-term memory management and local backups.
    -
  • A
    license
    B
    quality
    A
    maintenance
    Enables local AI coding agents and web agents to store, retrieve, and search memories using hybrid semantic, lexical, and knowledge-graph ranking with cognitive decay modeling in a local on-device database.
    15
    MIT
  • F
    license
    Not graded
    quality
    B
    maintenance
    Enables AI agents to automatically capture durable knowledge and retrieve only relevant, token-bounded context from a secure local-first long-term memory, with support for progressive disclosure, snapshots, health diagnostics, and background tasks.
    -
  • A
    license
    Not graded
    quality
    A
    maintenance
    Enables AI agents to capture, structure, remember, and retrieve source-backed memory as local Markdown files, with reviewable writes and no cloud dependency.
    179
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables AI agents with long-term memory and retrieval-augmented generation (RAG) capabilities, allowing them to recall past conversations, search local files, and learn user preferences.
    MIT
  • A
    license
    B
    quality
    A
    maintenance
    Cross-agent memory server: hybrid (vector + full-text + knowledge-graph) recall, per-user private/shared visibility, write-side secret/PII redaction, and as-of-date bi-temporal fact queries. Auto-injection hooks for Claude Code / Cursor / Codex; self-hostable on PostgreSQL or SQLite.
    46
    8
    MIT

TDQS

A3.9/5.0

Scored across 25 tools

Disambiguation4/5

Most tools map to a distinct domain and action, and the long descriptions carefully separate mnemosyne_ask from mnemosyne_query and pheme_watch from pheme_radar. The main risk is mnemosyne_todo_list vs mnemosyne_todo_lists, whose singular/plural names point at two different operations (reading tasks vs managing list shapes), so one pair could still trip up an agent.

Naming Consistency3/5

All tools share the mnemosyne_ prefix, but the action-placement pattern is mixed: query/ask/ingest are bare verbs, get_position/update_position are verb_noun, while todo_add/agenda_update are noun_verb. This is readable but not predictable, and mnemosyne_todo_list versus mnemosyne_todo_lists is an especially confusing near pair.

Tool Count3/5

25 tools is at the heavy end and spans many subsystems—memory, resonances, pheme, todo, agenda, cockpit, and agent monitoring—so the count feels more like an OS surface than a focused MCP. Each tool is individually justified, but the overall set is borderline for agent selection and would benefit from consolidation or namespacing.

Completeness3/5

The todo and agenda domains have full add/read/update/remove coverage, and agent-collision checks fill real gaps. However, the core memory domain only offers ingest plus query/ask, with no explicit update or delete/forget path, which is a notable lifecycle gap even if permanence is intentional.

Maintenance

ActivityNo data
ResponsivenessNo issues