AI Coding Memory Bridge

One persistent memory shared across different AI coding agents

Problem

AI coding agents lack persistent memory, so switching tools or sessions means re-explaining project context every time. Someone showed a self-hosted persistent memory layer via MCP for AI coding agents, proving this is a real, actively addressed pain point.

Solution

A local-first memory service compatible with MCP that imports session logs from different agents, deduplicates them into a project-level memory store, and automatically injects relevant context into new sessions.

Users

Developers using multiple AI coding agents, tech teams

MVP

Expose an MCP service interface; import sessions from Claude Code/Cursor etc.; deduplicate and categorize memory by project; auto-inject context into new sessions; store memory locally with export

Revenue

Open-source core plus paid team sync hosting

Why now

MCP ecosystem is young and a cross-agent memory layer is a clear gap; a local-first indie tool fits perfectly