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  • A
    license
    A
    quality
    C
    maintenance
    Persistent shared memory for AI coding agents. Stores facts as entity/key/value triples with hybrid semantic search, task checkpoints, and conflict resolution — shared across Claude Code, Codex CLI, and GitHub Copilot.
    16
    235 npm
    5
    AGPL 3.0
  • 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 memory for your AI agent. One SQLite file you own — offline, no API key. Plugs straight into Claude Code.
    Apache 2.0

Related Servers

  • A
    license
    A
    quality
    A
    maintenance
    Shared, local memory for AI coding tools that stays true to your code. Claude Code, Cursor, and Codex share one memory per project; memories are linked to the files they depend on and retired automatically when those files change. Includes a local dashboard, import from CLAUDE.md/AGENTS.md, and export. Runs entirely on your machine.
    10
    163 PyPI
    3
    MIT
  • A
    license
    B
    quality
    D
    maintenance
    A shared memory layer for AI agents — one memory.md synced across Claude Desktop, Cursor, Claude Code, OpenAI Codex, and any MCP client.
    4
    2
    MIT
  • A
    license
    A
    quality
    C
    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
  • A
    license
    A
    quality
    B
    maintenance
    Enables AI coding assistants to share persistent local memory across sessions and agents, so rules, mandatory specs, verified code snippets, and past mistakes are automatically surfaced before code is generated. It also lets agents log repeated failures as recurrence-counted 'vaccines', preventing the same errors from recurring across Claude, VS Code agents, and local LLMs.
    7
    1
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI coding agents to share a persistent, local-first memory of architectural decisions, conventions, bug root causes, and session handoffs, searchable via full-text ranking, so context carries across tools and sessions without any cloud dependency.
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Gives multiple AI coding agents a shared, persistent memory by indexing your code and documentation into a vector database with AST-aware chunking and hybrid semantic/keyword search. Agents can search across projects and store, update, or forget decisions, conventions and lessons learned, all self-hosted with local embeddings.
    MIT

TDQS

A3.9/5.0

Scored across 3 tools

Disambiguation4/5

search and about both query stored knowledge, so an agent could initially confuse a broad search with an entity-focused lookup, but the descriptions make the distinction clear: search returns provenance-backed results from repo memory, while about targets one thing. remember is wholly separate as a write operation.

Naming Consistency4/5

All tool names are lowercase single words, creating a simple and consistent style; search and remember are clear verbs, while about is more of a query noun/preposition, slightly deviating from a strict verb pattern.

Tool Count5/5

Three tools is well-scoped for a focused memory/knowledge server: query broadly, query a single entity, and write back. Each tool has a distinct role and none feel redundant or missing at this level of abstraction.

Completeness4/5

The core read/write/query lifecycle for shared repo memory is covered, and claimed work handling is integrated into search and remember. Minor gaps exist around updating or forgetting explicit memories, but agents can work around these with search.

Maintenance

ActivityActive
ResponsivenessWithin a week