A developer created an open-source local memory layer called Memmy to share context between Claude Code and Cursor, eliminating the need to re-explain architecture when switching tools.
I switch between claude code and cursor constantly. claude code is unbelievable for terminal-driven refactoring and complex debugging, while cursor's inline autocomplete and ui workflow are unbeatable for frontend work. The worst part isn’t the tooling differences, it’s the lore loss it feels like hiring two brilliant senior devs who strictly refuse to speak to each other. i debug a massive auth flow in claude code, jump to cursor to write the frontend, and have to re-explain the entire architecture. i used to waste 15+ mins every context switch re-summarizing api changes, copying log outputs, and tweaking rules files just so cursor wouldn't hallucinate deprecated endpoints. I just wanted cursor to know what claude code already figured out. threw together a local memory layer so both agents pull from the same context. it runs passively in the background, indexing session logs and decisions as they happen. the screenshot shows cursor pulling up the exact debug session from claude code without me pasting a single prompt. When I start building ui, cursor already knows about the jwt token edge case claude code resolved 10 mins prior. Everything sits in a local sqlite db, no cloud middleman. automatic secret redaction strips out keys and env variables before writing anything to disk, so your code never leaves your machine. open sourced it as Memmy. you get tokens to test the runtime out of the box by finishing the tasks, then just byok. that way you can test it instantly without messing with api configs, but keep full long-term ownership of your stack. Not sure if the local-first approach is overkill but i dont want my agent history locked in some saas. your codebase context and architectural history are way too sensitive to hand over to another third-party api.
A developer shares their struggle with losing context when switching between Cursor, Claude Code, and Codex, and how they solved it using MEMMY, a tool that syncs chat histories into a shared memory hub for all agents.
The author introduces an open-source MCP server running on Cloudflare Workers that provides persistent, searchable memory for AI clients like Claude, ChatGPT, and Cursor using vector embeddings and duplicate detection.
Memanto is a free, open-source tool that gives infinite memory to AI coding agents like Claude, Codex, and Cursor by saving, compressing, and retrieving session context in under 90ms.
A developer is building an external memory tool (MCP connector) for AI coding agents like Claude, allowing them to persist project context across sessions and models, preventing amnesia from context window limits.