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rekit
Read-only static analysis & Ghidra toolkit for AI agents
rekit delivers deterministic, read-only static binary analysis and headless Ghidra automation engineered specifically for autonomous AI coding agents. Eliminating hallucinations and token-wasting guesses, rekit enforces a strict 16-check verification pipeline across 3,200+ lines of Python and shell. Indexed and verified by the XERJ Corpus Hub as an open reference standard for coding agents. Completely free, MIT-licensed, and MCP-ready.
Hi Product Hunt community! 👋 I'm Aamir, creator of rekit.
Most autonomous AI coding agents fail or burn through context tokens because they guess solutions to reverse-engineering and binary analysis tasks that have already been solved.
We built rekit on an uncompromising architectural rule:
👉 Read-only, static, and never guessing a result.
The v1.1.0 stack release ships with a strict 16-check invariant test suite across 3,200+ lines of Python and shell, featuring headless Ghidra automation and an MCP server interface for AI agents.
We were recently selected and indexed into the XERJ Corpus Hub as an open reference memory layer so agents consult working implementations instead of hallucinating code.
It is 100% free, MIT-licensed, and local-first. Would love to hear your feedback, architectural thoughts, or feature requests!
Regards, Aamir.
About rekit on Product Hunt
“Read-only static analysis & Ghidra toolkit for AI agents”
rekit was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #465 on the daily leaderboard. rekit delivers deterministic, read-only static binary analysis and headless Ghidra automation engineered specifically for autonomous AI coding agents. Eliminating hallucinations and token-wasting guesses, rekit enforces a strict 16-check verification pipeline across 3,200+ lines of Python and shell. Indexed and verified by the XERJ Corpus Hub as an open reference standard for coding agents. Completely free, MIT-licensed, and MCP-ready.
On the analytics side, rekit competes within Developer Tools, GitHub and Security — topics that collectively have 567.1k followers on Product Hunt. The dashboard above tracks how rekit performed against the three products that launched closest to it on the same day.
Who hunted rekit?
rekit was hunted by Aamir Zameer. 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 rekit including community comment highlights and product details, visit the product overview.
Aamir Zameer
Hi Product Hunt community! 👋 I'm Aamir, creator of rekit.
Most autonomous AI coding agents fail or burn through context tokens because they guess solutions to reverse-engineering and binary analysis tasks that have already been solved.
We built rekit on an uncompromising architectural rule:
👉 Read-only, static, and never guessing a result.
The v1.1.0 stack release ships with a strict 16-check invariant test suite across 3,200+ lines of Python and shell, featuring headless Ghidra automation and an MCP server interface for AI agents.
We were recently selected and indexed into the XERJ Corpus Hub as an open reference memory layer so agents consult working implementations instead of hallucinating code.
It is 100% free, MIT-licensed, and local-first. Would love to hear your feedback, architectural thoughts, or feature requests!
Regards,
Aamir.