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Kept

A local, markdown-native archive for your AI chats from ChatGPT, Claude, Gemini, Grok, and Kimi.

Kept is a desktop app and Chrome extension that captures conversations from ChatGPT, Claude, Gemini, Grok, and Kimi and stores them as plain markdown files on your local filesystem. It features SQLite FTS5 full-text search, semantic recall, knowledge graph, auto-sync, BYOK support, an MCP server, and Obsidian export. Licensed under MIT with no premium tier or paid features.

Free

How to use Kept?

Download the desktop app for your platform (Windows, macOS, or Linux). Sideload the Chrome extension by loading it unpacked from the downloaded zip. Open any supported AI chat platform (ChatGPT, Claude, Gemini, Grok, or Kimi) and type @kept to bring up the capture palette, or enable auto-sync in the extension settings. Your chats are saved as markdown files in ~/.kept/vault. Use the app's search, knowledge graph, or MCP server to query and reuse your archive.

Kept 's Core Features

Captures chats from ChatGPT, Claude, Gemini, Grok, and Kimi as plain markdown

SQLite FTS5 full-text search across all conversations

Semantic recall with plain-English queries and citations

Auto-generated knowledge graph linking entities and decisions

MCP server exposing vault to MCP-aware clients (Claude Desktop, Cursor, etc.)

Bring your own key (OpenAI, Anthropic, OpenRouter) or use Ollama locally

Obsidian export with reconciliation preserving edits

Kept 's Use Cases

Archiving and searching personal AI conversations

Building a searchable knowledge base from AI chats

Reusing past AI responses for project reference

Integrating AI chat history with tools like Obsidian or Claude Code

Auditing and diffing AI conversations for team collaboration

Running semantic queries across years of AI interactions

Automating workflows with Kept's code execution and MCP integration

Kept 's FAQ

Most impacted jobs

Software Engineer

Data Scientist

Researcher

Writer

Product Manager

Student

Developer Advocate

Kept 's Tags

#AI chat archive #markdown #local-first #open source #MCP server #knowledge graph #semantic search

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