
reverify
Anti-hallucination for AI agents that read binaries. The model proposes, deterministic tools decide: every claim is VERIFIED or REFUTED against the real bytes, with evidence, and grounded facts survive context resets. MCP server + CLI.
The Lens
By Erik Loyd, SaaS CEO and former COO/CFO of an AWS Premier Partner.
Updated Sep 2026
reverify plugs into Claude Code, Cursor, or any MCP client and hands your agent a reverse-engineering toolkit that fact-checks itself. Ask an AI to read a binary and it invents offsets, structs, and behavior with total confidence. reverify makes the model propose and the bytes decide: every claim comes back VERIFIED, REFUTED, or INCONCLUSIVE with the evidence it actually read.
The core is pure Python, so PE/ELF/Mach-O parsing, disassembly, pattern scanning, and CPU emulation install with no Ghidra. Add the full extra and it upgrades itself in place to capstone, unicorn, lief, and Z3. It is free and MIT, and setup is a pip install plus an MCP entry.
If you do malware analysis, CTF, or interop research and you have been burned by an AI confidently hallucinating a struct layout, this is worth wiring in. The catch: it grounds claims, it does not do the reversing for you. It is a lie detector, not an analyst.
Free vs Self-Hosted vs Paid
fully freeFree: reverify is MIT and fully open source. The CLI and MCP server both run with no license or subscription.
Self-hosted: Runs on your machine. Pure-Python core needs nothing extra; optional extras (capstone, unicorn, lief, Z3, angr) install via pip when you want the mature engines.
Paid: None. There is no hosted tier or paid service.
Completely free and open source.
What to do by team size
- Solo
- free
- Small team
- free
- Medium team
- free
- Large team
- free
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Trust Signals
License: MIT License
Use freely, including commercial. Just keep the license.
Commercial use: ✓ Yes
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