Memwyre
Persistent shared memory for every AI tool and conversation.
Your AI should remember everything.
Memwyre is the AI Memory Platform that gives every AI tool, agent, and conversation a persistent, shared memory.
Most AI tools today suffer from amnesia. ChatGPT only remembers inside ChatGPT. Claude forgets the moment you close the window. And every time you open Cursor or your terminal, you have to waste time re-explaining your project setup, architecture rules, and past bug fixes from scratch.
Memwyre fixes this by creating a shared memory layer that connects all your tools. It combines a clean web dashboard, a fast browser extension, terminal hooks, and code editor plugins into one complete system. When you learn or save something in one place, every AI tool you use remembers it.
With smart search that understands both meaning and exact keywords, Memwyre sends only the most relevant facts to your AI. This eliminates prompt clutter, cuts token costs, and stops your models from guessing or making things up.
Private, secure, and kept strictly to your account, Memwyre gives your AI assistants a shared memory that follows you everywhere you work.
Features
- One-Click Browser Save: A Chrome extension to clip research instantly from ChatGPT, Claude, Gemini, and Perplexity.
- Code Editor Plugins: Connects to Cursor, VS Code, and Claude Desktop via MCP with a single command (npx -y install-memwyre).
- Automated Terminal Memory: Auto-loads project rules when Claude Code starts and saves key decisions when you exit.
- Autonomous Agent Continuity: Gives agents in OpenClaw and OpenCode persistent memory across multi-day tasks.
- Smart Search & Filtering: Finds facts by meaning and keywords while filtering out noise to cut token costs and stop hallucinations.
- Visual Web Dashboard: Search, tag, edit memories, review an approval inbox, and upload PDFs or Markdown files.
- Private Workspace Isolation: Keeps company code, client projects, and personal notes strictly separated and encrypted.
Use Cases
- Zero Re-Explaining in Code Editors: Open Cursor or Claude Code and start coding immediately without repeating your tech stack or rules.
- Web-to-Code Sync: Save a bug fix from ChatGPT or Perplexity in your browser, and recall it inside VS Code days later.
- Multi-Day Agent Memory: Background agents in OpenClaw remember past steps and continue long tasks without restarting from scratch.
- Cut Token API Costs: Retrieves only the 3–5 most relevant facts instead of dumping massive files into your prompt window.
- Shared Team Architecture Rules: Save team conventions once so every engineer’s AI assistant follows the same guidelines.
- Junk-Free Personal Brain: Review and approve memories in your web inbox to keep your knowledge clean and organized.
Comments
Hey everyone! 👋 I built Memwyre out of pure frustration with AI amnesia. Switching between ChatGPT for research, Cursor for coding, and Claude Code in the terminal meant every assistant started from complete zero every single day. I was constantly re-explaining the same architectural rules, tech stack quirks, and past bug fixes. Memwyre gives your AI assistants a shared, persistent memory that follows you across browsers, editors, and terminal agents. We built in hybrid retrieval and smart reranking so it injects only the exact, high-signal facts your model needs—eliminating context bloat and keeping token costs low. We’re actively developing new features and would love your honest thoughts: Try it out at https://memwyre.tech Let me know what integrations or features you'd like to see next! Appreciate all your support and feedback!
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Comments
Hey everyone! 👋 I built Memwyre out of pure frustration with AI amnesia. Switching between ChatGPT for research, Cursor for coding, and Claude Code in the terminal meant every assistant started from complete zero every single day. I was constantly re-explaining the same architectural rules, tech stack quirks, and past bug fixes. Memwyre gives your AI assistants a shared, persistent memory that follows you across browsers, editors, and terminal agents. We built in hybrid retrieval and smart reranking so it injects only the exact, high-signal facts your model needs—eliminating context bloat and keeping token costs low. We’re actively developing new features and would love your honest thoughts: Try it out at https://memwyre.tech Let me know what integrations or features you'd like to see next! Appreciate all your support and feedback!
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