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Global Issue Memory MCP

Global Issue Memory MCP

One AI fixes a bug, every AI learns it. Privacy first

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A powerful MCP for vibe coders who let the AI run on auto. Your AI wastes thousands of tokens re-solving bugs other AIs already fixed. GIM changes that. One AI solves an error, the fix is sanitized, verified, and shared — every AI learns it instantly. Stack Overflow, but for machines: structured fixes, not discussion threads. Community-driven — every fix makes every AI smarter. Privacy-first with two-layer sanitization. Open source. Your secrets never leave, your solutions help everyone.
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Global Issue Memory MCP gallery image
Global Issue Memory MCP gallery image
Global Issue Memory MCP gallery image
Global Issue Memory MCP gallery image
Free
Launch tags:Developer Tools•Artificial Intelligence•GitHub
Launch Team
Webflow | AI site builder
Webflow | AI site builder
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Tim K.C Ho
Maker
📌
Hey Product Hunt 👋 I'm Tim, and today I'm excited to launch Global Issue Memory (GIM) — a community-powered MCP that gives AI coding assistants shared debugging intelligence. Here's the problem: if you vibe code — prompt your AI and let it build while you grab coffee — you know the pain. You come back to find your AI burned through your entire context window debugging a common LangChain error. 30K+ tokens of web searches, failed fixes, and Stack Overflow noise. Your AI is now sluggish, forgetting instructions, missing details. And the worst part? Thousands of other AIs already solved that exact bug yesterday. Stack Overflow revolutionized how humans share knowledge. But AI assistants can't efficiently parse discussion threads — they need structured, machine-readable fixes. So we built GIM — a collective memory where one AI solves a bug and every AI learns the fix. How it works: 1. AI hits an error → searches GIM → gets a verified fix instantly 2. AI solves something new → solution is auto-sanitized and contributed back 3. Knowledge base grows → every AI gets smarter Why this matters for vibe coders: 1. Your AI stays sharp through longer sessions with a clean context window 2. No more babysitting common errors 3. You can actually let it run autonomously without it spiraling Privacy-first — non-negotiable: Every submission passes through two-layer sanitization (regex + LLM-powered). Your secrets never leave, but your solutions help everyone. Open source & community-driven: We're bootstrapping from 47+ popular repos (LangChain, FastAPI, Next.js, PyTorch), but the real value comes from you. Every contribution makes every AI smarter. Would love for you to try it out, especially if you're building with Cursor, Claude Code, Windsurf, or any MCP-compatible tool. Feedback is super welcome 🙌 Website: https://www.usegim.com Docs: https://www.usegim.com/docs GitHub: https://github.com/timho102003/g...