Aura: Agents + Git + Intent IDE.

Aura: Agents + Git + Intent IDE

Aura is the Git-native intelligence layer that transforms AI coding agents from black boxes into transparent, provable teammates. It unifies Claude Code, Gemini, Cursor, and other agents on a single semantic engine — giving development teams complete visibility into what changed, why it changed, and whether it actually works — without leaving the Git workflows they already trust.

Product Highlights

• Multi-Agent Unification: Drive Claude Code, Gemini, Cursor, Codex, Open Code, Kimi, and any MCP-compatible agent from one composer window with shared history — switch agents mid-conversation without losing context.
• Semantic Version Control: AST-level diffs show logic changes, not just line-by-line red-and-green; every commit carries an intent record and a verdict tying it to the goal it was meant to deliver.
• Autonomous Task Execution: Crew turns backlogs into shipped code with a dependency-aware work-loop — agents claim unblocked tasks in isolated worktrees, and only proven work merges.
• Zero-Migration Git Integration: Grafts onto existing local Git via hooks and notes — keep commit, push, and branch workflows exactly as they are, with the freedom to walk away to plain git anytime.
• Cryptographic Provenance: Every change generates sealed, portable genuine-records with full attribution — hand verifiable proof to reviewers, teammates, or auditors without losing context.
• Fully Local & Open Source: Runs entirely on your machine with Apache-2.0 licensed engine; code never leaves, data is never harvested for training, and the semantic core is auditable on GitHub.

Use Cases

• Agent-Driven Development Teams: Engineering teams using multiple AI coding tools gain a single source of truth for every change — eliminating tab-soup, lost context, and the cognitive overhead of tracking what each agent actually did.
• Compliance & Audit-Heavy Environments: Financial services, healthcare, and regulated industries maintain complete provenance chains — who prompted what, which agent executed, and how the outcome was verified — without slowing down development.
• High-Velocity Shipping with Safety: Startups and scale-ups run Crew to autonomously work through backlogs while maintaining quality gates — parallel agents execute without branch conflicts, and only goal-proven code reaches main.
• Code Archaeology & Knowledge Preservation: Long-running projects preserve the full reasoning behind every AI-generated function — future developers can trace not just what changed, but the exact conversation that produced it.

Target Audience

Aura is built for software engineering teams and technical leaders who have embraced AI coding agents but refuse to sacrifice understanding, quality, or accountability for speed — particularly those in regulated industries or collaborative environments where "the AI wrote it" is not an acceptable explanation.