Developer builds file-based AI assistant memory using Model Context Protocol

A developer has created CRBRO, a local server implementing the Model Context Protocol (MCP) to give AI assistants persistent memory across sessions. Unlike traditional vector databases, CRBRO stores knowledge as individual, human-readable JSON files, allowing for natural version control with Git and eliminating vendor lock-in. This file-based approach, inspired by neuroscience, uses "heat scores" to prioritize recently accessed or reinforced information, ensuring faster and more relevant context retrieval for AI assistants like Claude Code and Cursor. AI

IMPACT Enables AI assistants to retain context across sessions, improving developer productivity and reducing repetitive input.

RANK_REASON Developer-created tool for AI assistants.

Read on dev.to — MCP tag →

• Anthropic
• Claude Code
• CRBRO
• Cursor
• Model Context Protocol
• Postgres 15
• Windsurf

• product
• infra

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