,______  .______ .______  ,___
: __   \ \____  |:      \ : __|
|  \____|/  ____||  _,_  || : |
|   :  \ \   .  ||   :   ||   |
|   |___\ \__:__||___|   ||   |
|___|        :       |___||___|
             *       --pancake

Run a language model in local, without internet, to entertain you or help answering questions about radare2 or reverse engineering in general. Note that models used by r2ai are pulled from external sources which may behave different or respond unrealible information. That’s why there’s an ongoing effort into improving the post-finetuning using memgpt-like techniques which can’t get better without your help!

Features

• Prompt the language model without internet requirements
• Index large codebases or markdown books using a vector database
• Slurp file contents and make actions on that
• Embed the output of an r2 command and resolve questions on the given data
• Define different system-level assistant role
• Set environment variables to provide context to the language model
• Live with repl and batch mode from cli or r2 prompt
• Accessible as an r2lang-python plugin, keeps session state inside radare2
• Scriptable from python, bash, r2pipe, and javascript (r2papi)
• Use different models, dynamically adjust query template
  • Load multiple models and make them talk between them

Installation

This is optional ans system dependant. but on recent Debian/Ubuntu systems the pip tool is no longer working, because it conflicts with the system packages. The best way to do this is with venv:

python -m venv venv
. venv/bin/activate
pip install -r requirements.txt

Optionally if you want better indexer for the data install vectordb.

# on Linux
pip install vectordb2

# on macOS
pip install vectordb2 spacy
python -m spacy download en_core_web_sm
brew install llvm
export PATH=/opt/homebrew/Cellar/llvm/17.0.5/bin/:$PATH
CC=clang CXX=clang++ pip install git+https://github.com/teemupitkanen/mrpt/

And now you should be able to run it like this

r2pm -r r2ai

Additionally you can get the r2ai command inside r2 to run as an rlang plugin by installing the bindings:

r2pm -i rlang-python
make user-install

On native Windows follow these instructions (no need to install radare2 or use r2pm), note that you need Python 3.8 or higher:

git clone https://github.com/radareorg/r2ai
cd r2ai
set PATH=C:\Users\YOURUSERNAME\Local\Programs\Python\Python39\;%PATH%
python -m pip -r requirements.txt
python -m pip install pyreadline3
python main.py

Usage

There are 4 different ways to run r2ai:

• Standalone and interactive: r2pm -r r2ai
• Batch mode: r2ai '-r act as a calculator' '3+3=?'
• From radare2 (requires r2pm -ci rlang-python): r2 -c 'r2ai -h'
• Using r2pipe: #!pipe python main.py

Examples

You can interact with r2ai from standalone python, from r2pipe via r2 keeping a global state or using the javascript intrepreter embedded inside radare2.

• conversation.r2.js - load two models and make them talk to each other

Development/Testing

Just run make .. or well python main.py

TODO

• add “undo” command to drop the last message
• dump / restore conversational states (see -L command)

Kudos

The original code of r2ai is based on OpenInterpreter. I want to thanks all the contributors to this project as they made it possible to build r2ai taking their code as source for this. Kudos to Killian and all the contributors.