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AI Dimag
Verified memory for AI coding agents that proves it's true
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.
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!
About AI Dimag on Product Hunt
“Verified memory for AI coding agents that proves it's true”
AI Dimag was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #147 on the daily leaderboard. 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.
On the analytics side, AI Dimag competes within Productivity, Developer Tools, Artificial Intelligence, GitHub and OpenAI Day — topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how AI Dimag performed against the three products that launched closest to it on the same day.
Who hunted AI Dimag?
AI Dimag was hunted by Anup Khanal. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of AI Dimag including community comment highlights and product details, visit the product overview.
Anup Khanal