Never Ride Solo
The AI-native collaboration layer for reverse engineering
Humans and agents work on the same binary, with the same tools and live state. Everyone sees the work. Everyone builds on it.
A shared AI-native analysis environment
A runtime,
not a wrapper
Most AI integrations stop at a chat window. Here, agents work inside the real analysis. They navigate functions, read decompiled code, and change the session while you watch.
Every action. Every correction.
Trust is built into the runtime
Every agent action and human correction lands on one attributed log. Inspect it, keep it, or fix it in place.
The record shows where agents fail and how experts respond. That is the signal needed to evaluate and train better agents.
Model agnostic by design
Connect any agent
Bring the model and framework you already use. Any MCP client can enter a session by URL and use the same tools as a human. Your agent gets a lab, not an API to a report.
Human guidance, captured in context
Real binaries. Real feedback.
Better agents.
Experts guide agents inside the real analysis. Every correction stays tied to the binary, the exact function, and the state that produced it. No exported report. No lost context.
Reverse engineering, in the cloud
A complete RE lab
in every session.
Every session includes disassembly, Ghidra decompilation, debugging, sandboxed execution, hex, symbols, strings, cross-references, and graphs. No local toolchain. No context switching.
Upload a binary. The lab starts with analysis run, symbols resolved, and the sample isolated. Send a URL and another human or agent continues from the same state.
Why now
Cyber agents need more than chat
Models can reason about binaries. Their tools still assume one human on one desktop. Chat can answer questions. It cannot provide a persistent place to work.
Malware fights back. Human supervision is not scaffolding. It is part of the security model.
Reverser Space gives agents the lab and teams the controls.
Straight answers
Common questions
What is an execution layer for reverse-engineering agents?
It is the lab between the model and the analysis engine. Agents get real tools, persistent state, isolation, permissions, and an attributed log. Humans work in the same session.
Can I connect my own AI agent?
Yes. Any MCP client can connect by URL. Share links are read-only. Signed-in agents can rename, comment, and use every tool allowed by your role.
Can an AI agent do reverse engineering?
Yes. Invite an agent and watch it inspect the binary, rename functions, add comments, and write notes. Every action is attributed and permission checked. You choose the model and API key.
How is this different from AI tools that reverse binaries automatically?
They end at the report. Reverser Space keeps the full analysis underneath. Open the exact function behind a claim, correct it, and keep working.
Do I need to install anything?
No. Each sample runs in a server-side sandbox with the tools and symbols ready. Open a URL, upload a binary, and start.
How do I share my analysis?
Send the link. Viewers watch live without an account. Editors join the same session and work with you. No export. No handoff.
Give your agent somewhere to work
Connect an agent to a real binary-analysis environment, watch it work, and keep a human in control.
Building in public? Join the community and help shape the agent runtime.
Join the Crew →