radareorg/r2ai
An LLM-augmented reverse engineering plugin for radare2 that brings language model capabilities to binary analysis tasks.
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R2AI provides two plugins for radare2: a native AI plugin and decai for decompilation assistance. It supports multiple LLM providers (ollama, OpenAI, Anthropic, Groq) and features ReAct-style autonomous mode with function calling to automate reverse engineering workflows. The system includes a native vector database for RAG on code, markdown, and text files, and can embed r2 command outputs to answer questions about binary data.
Frequently asked
- What is radareorg/r2ai?
- An LLM-augmented reverse engineering plugin for radare2 that brings language model capabilities to binary analysis tasks.
- Is r2ai open source?
- Yes — radareorg/r2ai is open source, released under the MIT license.
- What language is r2ai written in?
- radareorg/r2ai is primarily written in C.
- How popular is r2ai?
- radareorg/r2ai has 451 stars on GitHub.
- Where can I find r2ai?
- radareorg/r2ai is on GitHub at https://github.com/radareorg/r2ai.