Launching today

AI Dimag

Launching today

Verified memory for AI coding agents that proves it's true

2 followers

Verified memory for AI coding agents that proves it's true

2 followers

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AI Dimag gives MCP-compatible agents (Claude, Cursor, Copilot, Windsurf) persistent memory that survives across sessions. Unlike traditional context systems, every memory carries falsifiable evidence—shell checks, tests, commit anchors—that dim verify re-runs against your current repo. Stale beliefs get flagged instead of silently misleading your AI. Works via MCP tools for real-time memory or generates static context files (.cursorrules, CLAUDE.md) for non-MCP tools. Free for teams ≤10.

Free

Launch tags:Productivity•Developer Tools•Artificial Intelligence

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Framer AI AgentsDesign and publish professional sites with AI

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OpenAI

OpenAI Day

What did GPT-5.6 Sol, Terra and Luna unlock that made your launch possible?

Maker

GPT-5.6's breakthrough in long-context reasoning (1M+ tokens) and improved code understanding created both an opportunity and a challenge. For the first time, AI agents could theoretically maintain persistent memory across sessions—but without verification, they'd just hallucinate more convincingly at scale. GPT-5.6's enhanced ability to reason about code structure and execute complex validation logic is what powers AI Dimag's evidence system. My STATIC_CHECK, TEST_RESULT, and COMMIT_REF verification wouldn't be possible without GPT-5.6's capacity to understand when a shell command or test actually proves a claim is still true. I built AI Dimag to make GPT-5.6's power trustworthy for production codebases.

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6h ago

Maker

📌

Hey Product Hunt! 👋 I'm Anup, and I built AI Dimag to solve a problem I kept hitting: AI coding agents forgetting critical decisions between sessions. The problem: Your AI forgets that "all DB access goes through store.ts" or that "we tried approach X and it failed." Every new chat starts from zero. The solution: AI Dimag gives agents verified, persistent memory. The key difference? Every memory has evidence (tests, shell checks, commit refs) that gets re-verified. When beliefs become stale, they're flagged—not silently misleading your AI. Works everywhere: MCP tools (Claude, Cursor) get real-time memory via MCP server Non-MCP tools (Copilot, Windsurf) get static context files Quick start: npm install -g aidimag dim init dim bootstrap # LLM surveys your repo dim review # approve what enters memory Free for teams of 10 or fewer. Would love your feedback!

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1d ago

Forum Threads

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21h ago

What's the most annoying thing your AI coding assistant forgets between sessions?

I built AI Dimag after hitting this wall repeatedly: I'd spend 30 minutes explaining architectural decisions to Claude or Cursor, then start fresh in new chat the next day and have to explain everything again.

Common things that get forgotten:

"All database access goes through src/db/store.ts"
"We tried microservices approach X and it failed because Y"
"Never use library Z, it has security issues"
"Always run tests before committing to main"

The frustrating part? These aren't just preferences they're critical decisions with context that took hours to figure out.

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