DeepAudit
AI-powered collaborative code auditing and automated sandbox PoC verification tool.
Autonomous multi-agent code auditing and sandboxed PoC verification for security professionals.
DeepAudit is an open-source platform that brings multi-agent AI collaboration to vulnerability discovery and code auditing. It is built for security engineers and developers who want automated codebase scanning integrated with sandbox PoC validation.
What it is
The platform runs autonomous multi-agent security audits supporting private Ollama deployments and LLM proxy relays. It features automated sandbox PoC verification, integration with GitHub/GitLab/Gitea repositories, and exports reports in PDF, Markdown, and JSON.
Who it's for
It suits security professionals, penetration testers, and developers looking to automate vulnerability discovery and code review. It does not suit teams lacking technical infrastructure to run local AI models or manage self-hosted environments.
Key features
Multi-Agent Security Audit
Runs collaborative AI agents to analyze code and execute vulnerability audits.
Automated Sandbox PoC
Validates discovered vulnerabilities safely inside an automated testing sandbox.
Repository Management
Directly imports projects from GitHub, GitLab, and Gitea for multi-project workflows.
Private LLM Support
Supports Ollama private deployments and transfer stations for running models locally.
Up and running in 3 steps
Our honest verdict
What's great
- Autonomous multi-agent auditing workflow with real-time thought logging
- Automated sandbox verification for generated Proof of Concept exploits
- Direct repository integration for GitHub, GitLab, and Gitea
- Exports professional audit reports to PDF, Markdown, and JSON formats
Where it falls short
- Requires managing a self-hosted environment with FastAPI, Python, and React dependencies
- Heavy resource usage when running local AI models via Ollama for code analysis
- AGPL-3.0 copyleft license imposes strict conditions if modifying and distributing the code
Pricing & license
Free and open source under its stated licence. The only financial cost is running your own hardware infrastructure and LLM API usage.
Open remote AI-training roles
880 open remote AI-training roles, updated November 15, 2026; most pay $20–$175 an hour. Zekai lists them free; the application goes to the employer’s platform.
Alternatives
These reviewed AI tools do the same job instantly — from our scored directory.
Use it, or have us set it up
FAQ
Can I run DeepAudit completely offline using local models?
Yes, DeepAudit supports Ollama private deployments so you can perform code audits without sending data to external APIs.
What report formats can I export from the tool?
You can export your completed security audit findings into PDF, Markdown, and JSON report formats.
