GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
LLM4Decompile uses large language models to reverse engineer binary code into assembly instructions and potentially source code.
Good fit when
- When you need a tool that leverages advanced language models for decompiling binaries more effectively than traditional methods.
- If your project involves working with x86 or similar architectures where the conversion from assembly to higher-level languages is critical.
Avoid when
- Avoid this tool if you require high precision in recreating exact source code, especially for heavily optimized binaries that lose contextual information during compilation.
- Do not use LLM4Decompile when working with less common architectures (e.g., RISC-V) unless explicitly supported or tested by the model.
- Pricing:
- freemium - The tool itself is open-source under the MIT license, but using it effectively may require access to specific large language models that could have associated costs.
- Requirements:
- Min 16 GB RAM; Requires a GPU for optimal performance with the specified model.
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (186d since push)
- As of Aug 17, 2026
- Provenance
- Not a fork · Personal account
- As of Aug 17, 2026
- Security (OSV)
- 41 low (41 low)
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install LLM4DecompileHow it fits your stack(5)
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A tool that uses large language models to reverse engineer binary code into assembly instructions and potentially source code.
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Aug 17, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Aug 17, 2026
- Languages
- python
Source: github.language · Aug 17, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 17, 2026)
conda create -n 'llm4decompile' python=3.9 -ySource link
Tags
README
Quick Start Setup: Please use the script below to install the necessary environment. Here is an example of how to use our model (Revised for V1.5. For previous models, please check the corresponding model page at HF). Note: Replace the "func0" with the function name you want to d...
For agents
This page has a .md twin and JSON over the API.