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Longhand MCP Server

@Wynelson94

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基本情報

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その他

トランスポート

stdio

作者

Wynelson94

投稿者

Nate Nelson

Longhand MCP Server について

Lossless local memory for Claude Code. The full, unabbreviated version. Every tool call, every file edit, every thinking block — stored verbatim on your machine. Persistent memory without tokens.

#lossless#memory#claude-code#local-first

Longhand MCP Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "longhand": {
      "command": "longhand",
      "args": [
        "mcp-server"
      ]
    }
  }
}

Longhand MCP Server のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Longhand?

Longhand is a local MCP server that captures every tool call, file edit, and thinking block from every Claude Code session verbatim into a SQLite database on your machine. It provides persistent, searchable memory without any API calls, summaries, or AI decisions about what to keep. It is for anyone using Claude Code who wants to retain session history beyond Claude Code’s default file rotation.

How to use Longhand?

Install via pip: pip install longhand. Run longhand setup to ingest existing history, install hooks, and configure MCP. Then use longhand recall "natural-language query" to search. For large histories, use longhand setup --skip-analysis for a fast path, followed by longhand reanalyze for full semantic capabilities.

Key features of Longhand

  • Zero API calls – fully local, offline-capable.
  • Stores verbatim events – no lossy summarization.
  • Natural-language recall across ~126ms for 20+ sessions.
  • Deterministic replay of past file states and diffs.
  • First-class support for Claude Code thinking blocks.
  • Completely portable between models and model versions.

Use cases of Longhand

  • Search past fixes or decisions by fuzzy description.
  • Review thinking blocks to understand past reasoning.
  • Reproduce exact file state at any point in a previous session.
  • Preserve history before Claude Code rotates source JSONL files.
  • Integrate with or replace other memory tools without losing data.

よくある質問

1

How is Longhand different from claude-mem?

claude-mem stores AI-generated summaries and observations; Longhand stores verbatim events from the raw JSONL files. Longhand makes no LLM calls, keeps thinking blocks, and preserves every diff for deterministic replay.

2

What are the runtime requirements?

Python 3.10–3.13 are fully supported. On Python 3.14, `chromadb` is pinned to a version below 1.0 due to segfaults. The server uses a local SQLite database and ChromaDB instance; no external dependencies are required.

3

Where does Longhand store session data?

All data lives on your machine in a SQLite file and ChromaDB index – never leaves your computer. Typical storage footprint is 200–400 MB for regular users, ~1 GB for heavy users.

4

Does Longhand use many tokens for recall?

No – tools are capped by design. A full `recall` across 100+ sessions returns roughly 4K tokens, compared to 10–50× more for reading a raw session JSONL.

5

How long does initial backfill take for large histories?

First-time backfill on histories >1 GB takes 10–30 minutes on an M-class Mac (mostly embedding model run on all cores). Use `longhand setup --skip-analysis` for a ~1-minute fast path; exact-text search, timelines, and file history work immediately.

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