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AI Pensieve MCP

AI Pensieve MCP

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github.comMemory & Knowledge1Updated 6w ago
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About AI Pensieve MCP

AI Pensieve MCP is a desktop app and MCP server for searching and cross-referencing local AI conversation archives. It is for people retrieving past chats across providers; archives stay local, tools are read-only, and results point to source conversations.

Key features

  1. 01Import conversations from multiple AI services
  2. 02Search local archives by keyword
  3. 03Open original threads and sources
  4. 04Compare project discussions across providers
  5. 05Provide read-only MCP tools

Use cases

  1. 01Find past discussions about a topic
  2. 02Compare project decisions across AI services
  3. 03Verify search results in original conversations

MCP support

A read-only MCP server can run against an existing SQLite archive, allowing MCP clients to search local conversations and retrieve source excerpts. Retrieved excerpts may be sent to the AI provider connected to the client.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "as-xs-ai-pensieve": {
      "command": "uvx",
      "args": [
        "ai-pensieve-mcp"
      ]
    }
  }
}
Run commanduvx ai-pensieve-mcp

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypiai-pensieve-mcp0.2.0

Tools

13

Saved tool list · updated 2w ago

This tool takes no parameters.

Details

From the project README

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:

uvx ai-pensieve

For a persistent command:

pipx install ai-pensieve
pensieve

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

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.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.