MCP server: One MCP server.

AI Pensieve MCP

@as-xsMCP server · External

Search and cross-reference local AI chat history with read-only tools and source citations.

AI memoryv0.2.0Apache-2.0Python
Freeno charge per call

Runs on your machine from its package; the steps are below.

What it does

  1. Reads
  2. Writes
  3. High impact

At most: only reads or looks up information.

What it costs

Free

Odel charges nothing per call. The publisher may charge for its own service.

Runs locally over stdio

This server isn't hosted — your MCP client launches it from a package registry. Use one of the commands below, or drop the config into your client (e.g. Claude Desktop).

PyPIai-pensieve-mcpv0.2.0

Run

uvx ai-pensieve-mcp

MCP client config

{
  "mcpServers": {
    "ai-pensieve-mcp": {
      "command": "uvx",
      "args": [
        "ai-pensieve-mcp"
      ]
    }
  }
}
README2 min read

AI Pensieve MCP

中文版:README · 客户端设置 · 用户指南

Search your imported AI conversations locally, either through the illustrated desktop room or from an MCP client.

Privacy: the archive stays on your computer and MCP tools are read-only. Retrieved excerpts may be sent to the AI provider connected to your client. How your data is handled

Install

Open the desktop with uv:

sh
uvx ai-pensieve

For a persistent command:

sh
pipx install ai-pensieve
pensieve

To run only the read-only MCP server against an existing archive:

sh
uvx ai-pensieve-mcp /absolute/path/to/archive.sqlite

See the package installation guide for client setup, platform requirements, persistent archive locations, and source installation.

Use the desktop

  1. Open the wooden door and touch the Pensieve.
  2. Choose Import a memory, then select a provider bottle, Unmarked for auto-detection, or Find & import local sessions.
  3. Choose an exported file or folder, inspect the selection, and pour it into the basin. The original files stay unchanged.
  4. Choose Search the waters, search by keyword, and open a smoke result to read the original thread.

The GUI imports ChatGPT, Claude, Gemini, DeepSeek, Grok, and supported coding sessions. NotebookLM currently provides notebook metadata only. See the full compatibility matrix and export guide.

Connect an AI client

Import an archive first, then follow AI client setup and check the client verification status. Version 0.2.0 adds shelf → Connect to an AI for copyable setup and pensieve --demo to try invented memories in a temporary archive. Try prompts such as:

Search my archive for discussions about machine learning. Show the source conversations and dates supporting your answer.

Find discussions of my project across different AI providers and compare the decisions recorded in them.

More example prompts and tool details.

The archive is a local snapshot: import or refresh again when new conversations should appear. For command-line imports, custom source folders, and revision and deduplication rules, see the user guide.

Licensed under Apache License 2.0.

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