Cross-Session AI Context Memory Layer
A local-first memory layer (MCP server + CLI) that automatically captures decisions, learnings, and project state from AI sessions and injects relevant context into any connected tool (Claude Code, Cursor, ChatGPT). Repo-native storage keeps knowledge portable across agents and teammates.
- 0
- posts
- Confidence: 4 out of 5
- 0.82 model confidence
The problem
Developers and AI power users complain that AI coding assistants and chat tools lose context between sessions, forcing them to re-explain projects, re-paste files, and rebuild context repeatedly. One builder said they got tired of AI coding sessions forgetting what the project had already learned, and others note that chat history in one app doesn't carry over to the others.
Who it’s for
Developers and engineering teams using multiple AI coding assistants
Market
5M+ developers using AI coding assistants globally
Source: external_knowledge
GitHub Copilot alone reported 1.8M+ paid subscribers and 77k+ organizations by 2024, with Cursor, Claude Code, and ChatGPT-based coding adding millions more; a large share of these users work across multiple AI tools and would benefit from cross-session memory. The addressable segment is the growing population of professional developers and power users actively using AI assistants daily.
Who already tried
- Salvor
- Mem0
- Cursor Memories
Tool-agnostic memory that works across all AI assistants via MCP rather than locking context into one vendor's ecosystem.
What you’d build
Rough effort
180 hours
Stack
- TypeScript
- MCP SDK
- SQLite
- Node.js
Integrates with
- Claude Code
- Cursor
- VS Code
- GitHub