A persistent, local-first semantic knowledge graph that stores AI memory as plain Markdown files readable by both humans and LLMs. Supports optional cloud sync and team workspaces across multiple platforms.
Basic Memory is an MCP (Model Context Protocol) server that provides persistent memory capabilities for AI systems. It creates a semantic knowledge graph stored as plain Markdown files, enabling both humans and LLMs to read and write contextual information. The tool bridges the gap between traditional file-based knowledge management and AI-native memory systems.
1. Clone the repository from GitHub (basicmachinesco/basicmemory). 2. Install dependencies using Python package manager. 3. Configure as an MCP server compatible with your client (Claude, ChatGPT, etc.). 4. Optional: Enable cloud sync and set up team workspace access. 5. Start the server and connect through your MCP client.
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