Enables systematic code investigation using Monte Carlo Tree Search to explore codebases, analyze files, and provide intelligent insights. It features persistent memory and pattern learning for improved investigations.
An adversarial code verification system that uses a Verifier-Critic debate loop to systematically uncover security, correctness, and performance issues. It implements the Socratic method to provide deep semantic analysis and dialectical reasoning beyond traditional static linting.
Leverages Google's Gemini AI with a 1M token context window for comprehensive codebase analysis, enabling intelligent code search, architecture analysis, and targeted improvement suggestions.
Enables deep reasoning and cognitive enhancement through multi-agent debate, bias detection, and structured thinking, with privacy-first local execution.
Enables multi-agent code review with cross-verification of findings against source code, catching hallucinations and improving agent accuracy over time.
