MemoryMesh is a tool that allows users to sync context across different AI chat platforms like Claude.ai, ChatGPT, and Gemini by saving conversation summaries and injecting them into new chats. It uses AWS Lambda functions and DynamoDB for backend operations, with an EU cross-region inference profile ID for Bedrock model access in specific regions. The Chrome extension injects buttons to save or sync context within AI chat interfaces. A history importer parses exported data from Claude.ai and ChatGPT for bulk import into MemoryMesh's system. Deploying the tool involves building a shared TypeScript source codebase that runs locally as an MCP server and on AWS Lambda. The author notes successful integration, where Gemini was able to recall details of conversations it had not seen before after importing context through MemoryMesh. Future developments include a local SQLite backend for users who prefer not to use AWS infrastructure and a Firefox port.
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