Enables AI agents to remember, recall, structurally diff, and inspect accumulated reverse-engineering findings as a persistent knowledge graph, so analysis cost compounds instead of evaporating.
Enables agents to analyze software artifacts through 35 tools covering read-only reconnaissance, secret/string/symbol scanning, native and Dart AOT structure checks, exposure tiering, protection planning, attack-simulation design, and an append-only evidence ledger with mechanical verified gates that treat unresolved unknowns as blocking. Gated execution tools apply reviewed transforms only to a managed copy inside an authorized workspace, with one-time approval tokens, independent verification, before/after diffs, and rollback.
Enables agents to turn authorized software artifacts into verified working reimplementations through behavioral capture, clean-room synthesis, differential parity verification, and evidence-pack export. It supports CLI binaries and HTTP APIs, with policy controls and vector fuzzing.
Enables agents to reverse-engineer software across native binaries, managed code, Electron apps, websites, and live runtime behavior, returning findings linked to the evidence and limitations behind each conclusion. It also maintains a durable workspace where those behaviors can be inspected, questioned, compared against real execution, and exported as runnable handoffs.
Reverse engineering engine built for AI agents, written in Rust from scratch. Turns binaries into readable code checked against the machine, with the analysis an agent needs around it, fast and sized for the context window.
