╭─────────────────────────────────╮
         │ ,______  .______ .______  ,___  │
 ╭──╮    │ : __   \ \____  |:      \ : __| │
 │ _│_   │ |  \____|/  ____||  _,_  || : | │
 │ O O  <  |   :  \ \   .  ||   :   ||   | │
 │  │╷   │ |   |___\ \__:__||___|   ||   | │
 │  ││   │ |___|        :       |___||___| │
 │ ─╯│   ╰─────────────────────────────────╯
 ╰───╯

This repository contains two plugins for radare2:

• r2ai - native AI plugin for radare2
• decai - r2js plugin with special focus on decompilation

If you are looking to use radare2 with other agents via MCP:

• r2mcp - the official radare2 mcp
• r2copilot - the mcp with focus on CTF r2copilot

• Configure different roles and customize prompts
• Scriptable via r2pipe via the r2ai command
• Live with repl and batch mode from cli or r2 prompt
• Support Automatic (ReAct) mode to solve tasks using function calling
• Use local and remote language models (ollama, openai, grok, anthropic, ..)
• RAG markdown, code or textfiles using its native vector database
• Embed the output of an r2 command and resolve questions on the given data

[0x00000000]> r2ai -q
explain: Explain the current function -
devices: Find and explain devices used -
libs: Group imports by Libraries -
varnames: Better variable names -
autoname: Automatically suggest a better name for this function -
vulns: Find vulnerabilities or bugs in the current function -
signature: Suggest an improved function signature -
dlopen: List libraries loaded with dlopen - Some libraries are loaded
decompile: Augmented decompilation based on LLM -
[0x00000000]>

The recommended way to install any of the r2ai components is via r2pm:

$ r2pm -Uci r2ai
$ r2pm -Uci decai

• Adds the r2ai command to the radare2 shell: r2 -qc r2ai
• You can also run the wrapper in $PATH: r2pm -r r2ai

Drop your API keys in environment variables or files in your home:

$ cat ~/.r2ai.anthropic-key 
sk-ant-api03-CENSORED
$ export OPENAI_API_KEY=sk-proj-6rlSPS-zN1v...

You may customize and save your configuration settings using your OS's default settings file (e.g ~/.radare2rc on Linux). For example, the following configuration sets Claude 3.7 by default, with max output tokens to 64000.

r2ai -e api=anthropic
r2ai -e model=claude-3-7-sonnet-20250219
r2ai -e max_tokens=64000

• There's a chapter in the official r2book
• Cryptax on lmstudio+gptoss blog post
• Malware analysis with r2ai by Cryptax and Daniel Nakov
• Analysis of Linux/Trigona ransomware, Linux/Prometei botnet and W32/SkyAI with r2ai

• Solving a crackme
• De-obfuscation of malware Linux/Ladvix
• Analysis of the /fast option inside Linux/Trigona ransomware