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kormem

Local long-term memory for AI agents. kormem indexes everything you say to assistants and every file, folder or URL you add, files it into an Obsidian-compatible vault of linked notes, and answers questions with a small recall agent that returns dated findings and their sources.

The commands follow QMD: collection add, context add, search, vsearch, query, get, multi-get and ls work the same way.

pip install kormem            # or: uvx kormem …, npm install -g kormem, bunx kormem …
kormem init                   # key file, engine, background services, Claude Code plugin

kormem collection add ~/notes --name notes
kormem context add kormem://notes "Personal notes and ideas"
kormem search "project timeline"            # keyword search
kormem vsearch "how to deploy"              # semantic search
kormem query "what did we decide about X?"  # recall agent (best quality)
kormem get "#abc123"                        # open a source by docid
kormem remember "I prefer pnpm over npm"
kormem mcp                                  # MCP server for Claude Code, Claude Desktop, Cursor

kormem needs one key: put GEMINI_API_KEY in ~/.kormem/.env, which kormem init creates. It runs embeddings, extraction and the recall agent. Without it, kormem still indexes and searches locally. kormem doctor checks the setup.

Full documentation, diagrams and the Claude Code plugin: https://github.com/kushalsinha/kormem

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