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Git-native semantic layer checking AI agent commits against stated intent.
• Analyzes code changes at the AST logic level instead of traditional red-and-green line diffs. • Compares AI-generated code edits against the agent's stated intent and flags behavioral mismatches automatically. • Signs intent logs and tracks cryptographically anchored Sigstore provenance for every automated code commit. • Provides a local desktop app (Aura Studio) to visualize live semantic graphs and multi-agent message buses.
Operates completely on-device over local Git daemons without sending source code or telemetry to central SaaS servers. Evaluates semantic AST changes to detect silent behavioral bugs that standard line-based diff tools miss. Attaches cryptographic intent logs and Sigstore receipts to every commit for verifiable AI agent provenance. Drop-in compatibility with existing GitHub, GitLab, Claude Code, Cursor, and Copilot workflows.
Category: AI & Automation
Team Size: 2-10
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Aura is an open-source, Git-native developer tool and desktop application designed to control, verify, and govern AI coding agents like Claude Code, Cursor, and Copilot. By analyzing changes at the Abstract Syntax Tree (AST) level rather than standard line diffs, Aura compares code modifications directly against the agent's stated intent. It runs entirely locally alongside Git, generating signed intent logs, Sigstore provenance, and logic graphs to ensure AI code changes are safe and intentional before committing.
Aura was created to solve the growing opacity and security risks of AI-generated code. As AI agents like Claude Code and Cursor autonomously wrote hundreds of lines of code, standard Git diffs made reviewing logic-level changes increasingly difficult. The creators built Aura as an open-source, Git-native layer to ensure every AI commit carries verifiable intent and AST-level safety checks.
