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freemium · from $15/mo

Memoir
Persistent memory for AI coding tools via MCP
6 views0memoir.sh
API Open Source
About Memoir
Memoir is a persistent memory system for AI coding tools that operates via the Model Context Protocol (MCP). It enables AI assistants like Claude, Cursor, and Windsurf to remember your codebase architecture, coding conventions, preferences, and decisions across multiple sessions and tools. The system uses end-to-end encryption to securely store and sync memories across machines, while also providing workspace synchronization, session handoff, and AI migration capabilities.
Key Features
- MCP server integration with 11+ AI tools
- Cross-tool memory recall and persistence
- E2E encryption with AES-256-GCM
- Workspace synchronization and Git integration
- Session handoff between coding sessions
- AI-powered tool migration with instruction translation
- Cloud backup and restore functionality
- Secret scanning to auto-redact API keys
AI Models
ClaudeClaude Code
Use Cases
Persistent AI memory across coding sessionsCross-tool context preservation when switching between Claude, Cursor, and other toolsTeam knowledge sharing and onboardingCodebase architecture and convention documentation
Best For
Solo developersPower users on multiple machinesDevelopment teams
Pros & Cons
Pros
- Works with 11+ popular AI coding tools
- End-to-end encrypted and privacy-focused
- Eliminates need to re-explain architecture and preferences to AI assistants
- Enables seamless switching between different AI tools without losing context
Cons
- Requires setup of MCP configuration
- Some features like Teams tier are still in waitlist
- Cloud backup limited to 3 backups on free tier
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