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  • A
    license
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    quality
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    Indexes the session histories Claude Code, Codex CLI and opencode already write into a local searchable memory. MCP recall tools, session-start auto-recall, secret redaction at index time, cross-machine sync over SSH.
    1
    2,379 npm
    1,367
    MIT
  • A
    license
    B
    quality
    A
    maintenance
    Search local AI-agent conversation history by file or exact phrase, and recall original source turns. Four read-only stdio tools for Claude Code, Codex, DeepSeek Harness, Pi and ThoughtDAG history; source sessions are never modified.
    4
    96 npm
    736
    MIT

Related Servers

  • A
    license
    B
    quality
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    Provides local, agentic semantic recall over Claude Code session history, enabling the agent to search past discussions semantically, expand turns, and grep transcripts.
    5
    13
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Persistent memory + FTS5 full-text search for Claude Code conversation history. Indexes ~/.claude/projects/ JSONL into SQLite, exposes 10 MCP tools (store/recall/search memories, browse sessions, get summaries) plus prompts. Includes a web UI for visual exploration
    10
    46 npm
    97
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables agents to run cross-runtime, cross-machine BM25 full-text search over historical conversations from Hermes, Google Antigravity, OpenClaw, Codex, and Claude Code, and to retrieve any past session's full transcript by ID. Queries return only ranked matching snippets, so recall costs no extra tokens or embeddings.
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Provides local-first, cross-session memory for Claude Code, enabling semantic search across past sessions to retrieve procedures, decisions, or answers without exposing secrets.
    Apache 2.0
  • A
    license
    A
    quality
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    Enables coding agents to query a local, offline memory store of past session traces through hybrid BM25 plus semantic retrieval over extracted memories and chunks. Lets users recall relevant memories, search chunks and sessions, and explore cross-session clusters directly from their agent.
    3
    1
    MIT

TDQS

A3.9/5.0

Scored across 6 tools

Disambiguation4/5

The tools mostly have distinct roles: recall is semantic search across sessions, scan is literal string search within one session, sessions lists metadata, get reads raw turns, sketch summarizes a session, and status reports health. The only mild overlap is between get and sketch, since both read one session, but the descriptions make their different purposes fairly clear.

Naming Consistency4/5

All tool names are single lowercase words with no mixed casing or underscores, which is a consistent convention. The set mixes verbs (get, recall, scan, sketch) with nouns (sessions, status), so it does not follow a strict verb_noun pattern, but it remains readable and predictable.

Tool Count5/5

Six tools is well within the appropriate range and each tool covers a distinct retrieval or diagnostic operation. There are no obviously redundant tools, and the surface is compact for a memory-retrieval server.

Completeness4/5

The surface covers the core read-only lifecycle for past sessions: enumerate, semantically search, literal scan, read raw turns, summarize a session, and check memory health. Minor gaps could exist around managing multiple memories or write/forget operations, but for a retrieval-focused server the coverage is strong.

Maintenance

ActivityActive
ResponsivenessWithin a week