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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.
    36 PyPI
    3
    Apache 2.0
  • A
    license
    Not graded
    quality
    A
    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.
    26 npm
    13
    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 Facts carry a validity window and a confidence score, so an outdated one is superseded and downweighted rather than deleted, and retrieval fuses BM25, vector similarity and a knowledge graph.
    2
    Business Source 1.1

Related Servers

  • A
    license
    Not graded
    quality
    A
    maintenance
    Gives coding agents a persistent memory by searching a local, read-only index of existing markdown and letting them write findings back as notes that the next session can retrieve. It serves ranked, context-sized results over MCP, injects standing conventions at session start, and keeps data on your machine with secret redaction and archive-only deletion.
    142 PyPI
    MIT
  • F
    license
    Not graded
    quality
    A
    maintenance
    Enables AI agents to search and query a local knowledge base of scattered notes and docs through hybrid vector plus BM25 retrieval with section-level citations, and to store, retract and explore durable memories, note links and agent harness memories. It also exposes note resources plus briefing, study-plan and contradiction-check prompts, all backed by a shared local index.
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  • A
    license
    A
    quality
    A
    maintenance
    Local memory for AI agents over plain Markdown files: hybrid vector + BM25 recall (RRF), one isolated memory per agent directory, fully offline with no LLM in the loop. Tools: cogvault_recall and cogvault_record.
    2
    129 PyPI
    1
    MIT
  • F
    license
    Not graded
    quality
    A
    maintenance
    Gives AI coding agents direct, local-first read/write access to persistent memory — project decisions, preferences, error patterns, research, and cross-project guidelines — retrieved by semantic search backed by SQLite with no API keys or network calls. A companion server also exposes optional autonomous task-queue execution.
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  • A
    license
    A
    quality
    A
    maintenance
    Enables multiple AI agents on one machine to write, search, fetch, link, and give feedback on a shared local store of Markdown-backed facts, preferences, and conventions that persists across sessions. Memories gain confidence as different hosts confirm their use and can be distilled into denser ones, so agents stop re-discovering the same context.
    5
    598 PyPI
    1
    MIT
  • A
    license
    Not graded
    quality
    A
    maintenance
    Local Markdown memory for AI agents with multilingual BM25 retrieval (optional semantic fusion). Search, recall, write, archive and curate notes in a vault you choose via the mnemosyne-mcp server.
    132 PyPI
    11
    MIT

TDQS

A4.2/5.0

Scored across 25 tools

Disambiguation4/5

The tools span many distinct resources and actions, and descriptions explicitly clarify overlapping retrieval tools like memory_query vs memory_ask. However, some residual overlap exists between memory retrieval and resonance reading, causing slight hesitation in selection.

Naming Consistency5/5

Every tool uses the mnemosyne_ prefix and snake_case consistently, with no case mixing or inconsistent verb styles. The resource-oriented naming pattern is predictable throughout, with only minor deviations like 'about'.

Tool Count3/5

At 25 tools, the set is heavy for a single MCP server, sitting at the upper bound of the 16-25 borderline range. While each tool appears to serve a distinct purpose, the volume risks overwhelming an agent.

Completeness4/5

The surface covers memory creation and retrieval, full calendar and todo CRUD, agent session inspection, Pheme radar and watch management, and cockpit updates. Gaps include no memory update/delete, no direct memory get by ID, and no agent-triggered Pheme scan or dream cycle, though some may be intentional.

Maintenance

ActivityActive
ResponsivenessNo issues