Apps · Reverse-engineering plugin for Binary Ninja (needs a local model server)
BinAssist
Binary Ninja plugin that explains functions, suggests names and types, and answers questions about the binary, with local or cloud models.
macOSWindowsLinux
At a glance
- Best for
- Binary Ninja users who want the same assistant as GhidrAssist.
- Inference engine
- uses Ollama, LM Studio or any OpenAI-compatible server
- GPU support
- None of its own: it talks to a llama.cpp or MLX LM server
- Opens
- GGUF
- MLX
- Features
- Chat window
- Tool calling
- Agent workflows
- Platforms
- Runs inside Binary Ninja 5000 or later (a paid edition, since the free one doesn’t load plugins).
Install
macOS
Download the repo into Binary Ninja’s plugin folder, then run pip install -r requirements.txt in it
Windows
Download the repo into Binary Ninja’s plugin folder, then run pip install -r requirements.txt in it
Linux
Download the repo into Binary Ninja’s plugin folder, then run pip install -r requirements.txt in it
14 models on this site run in BinAssist
Models tagged for reverse engineering that follow instructions, with a GGUF or MLX build to serve locally. Raw decompilers such as LLM4Decompile run on their own in llama.cpp or LM Studio instead.
| Model | Made by | Type | Size | Opens it as | Quality tier |
|---|---|---|---|---|---|
| Qwen3.5 27B | Alibaba | LLM | 28B | GGUF or MLX | 93 |
| Qwen3.5 35B-A3B | Alibaba | LLM | 36B (3.0B active) | GGUF or MLX | 93 |
| DeepSeek R1 (671B) | DeepSeek | LLM | 671B (37.0B active) | GGUF or MLX | 92 |
| GLM-4.7 Flash (30B-A3B) | Zhipu AI | LLM | 31B (3.0B active) | GGUF or MLX | 88 |
| Devstral 2 (123B) | Mistral AI | LLM | 125B | GGUF or MLX | 86 |
| gpt-oss 120B | OpenAI | LLM | 117B (5.1B active) | GGUF or MLX | 84 |
| Qwen3 Coder 30B-A3B | Alibaba | LLM | 31B (3.3B active) | GGUF or MLX | 78 |
| DeepSeek V3 (671B) | DeepSeek | LLM | 671B (37.0B active) | GGUF or MLX | 75 |
| Qwen3 30B-A3B | Alibaba | LLM | 31B (3.3B active) | GGUF or MLX | 74 |
| Gemma 3 27B IT | LLM | 27B | GGUF or MLX | 72 | |
| gpt-oss 20B | OpenAI | LLM | 21B (3.6B active) | GGUF or MLX | 70 |
| Qwen3 8B | Alibaba | LLM | 8.2B | GGUF or MLX | 60 |
| Foundation-Sec 8B Reasoning | Cisco Foundation AI | LLM | 8.0B | GGUF | 52 |
| Foundation-Sec 1.1 8B Instruct | Cisco Foundation AI | LLM | 8.0B | GGUF | 50 |
Alternatives
Estimates come from published hardware specs and our open formulas, not from running the model on your machine. Real speed varies with runtime, drivers and settings. Numbers marked “Measured” come from a linked benchmark.