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Moth
Project-local bug-fix analysis and verified fix memory.
Moth is an open-source MCP server that gives AI coding agents (Claude, Cursor, etc.) a verified bug-fix memory. Instead of agents blindly guessing fixes from unredacted logs and repeating the same mistakes, Moth structures the workflow. It automatically redacts API secrets, detects the framework stack, analyzes the error, and records only strictly verified successes/failures to a localmoth/fix-memory.jsonl file. Read-only, deterministic, and fully local.
Hi Product Hunt! 👋 I'm the creator of Moth.
Why I built it:
I was incredibly frustrated by "agent amnesia". Every time I used an AI coding agent (like Claude Code or Cursor), it would face an error, blind-guess a fix from unredacted logs, and then repeat the exact same mistake a week later on a different session.
The approach:
I didn't want to build a heavy Vector DB or send telemetry to a cloud service. I wanted a simple, local, and standard protocol.
So, I built Moth. It's an open-source MCP (Model Context Protocol) server. Instead of just pasting logs, Moth exposes two tools to your agent:
analyze_error: Automatically redacts secrets, detects the framework stack, and checks past memory before the agent guesses a fix.
remember_fix_result: If a fix works and passes a verification command (like npm run build), it records it locally in a read-only .moth/fix-memory.jsonl file in your repo.
It's incredibly explicitly designed to keep the AI workflow structured and safe.
I’d love to hear your feedback on this local-first approach to AI agent memory! Let me know if you run into any issues.
About Moth on Product Hunt
“Project-local bug-fix analysis and verified fix memory.”
Moth was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #126 on the daily leaderboard. Moth is an open-source MCP server that gives AI coding agents (Claude, Cursor, etc.) a verified bug-fix memory. Instead of agents blindly guessing fixes from unredacted logs and repeating the same mistakes, Moth structures the workflow. It automatically redacts API secrets, detects the framework stack, analyzes the error, and records only strictly verified successes/failures to a localmoth/fix-memory.jsonl file. Read-only, deterministic, and fully local.
On the analytics side, Moth competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Moth performed against the three products that launched closest to it on the same day.
Who hunted Moth?
Moth was hunted by Samet Taşlıoğlu. 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 Moth including community comment highlights and product details, visit the product overview.
Samet Taşlıoğlu