AgentDiff
AgentDiff functions as a git-native tool for AI code provenance that records which AI agent wrote specific code lines, signing them with ed25519 for tamper-evident auditing. A separate namesake project provides interactive sandboxed environments to evaluate AI agent performance and state-change accuracy against third-party API replicas.
Recent releases (v0.1.29) introduced an MCP tool to capture agent intent before commits, improved attribution accuracy by filtering multi-agent pollution, and added new commands like remote-status for tracking trace states.
As of
- Git-native line-level AI code attribution
- ed25519 cryptographic signature verification
- Integration with Claude Code, Cursor, Copilot, and others
- Ephemeral sandboxed environments for API evaluation
- Deterministic state-change diffing
Engineering teams needing verifiable AI code provenance for compliance and organizations requiring deterministic evaluation of AI agent tool-calling against API replicas.
Projects relying exclusively on local development environments without a preview URL, or teams seeking probabilistic AI content detection rather than cryptographic authorship logs.
Open source version is free with core ledger functionality; Enterprise suite adds private repository support, SSO, and compliance alerts.
AgentDiff is an essential infrastructure layer for mature teams that treat AI-authored code with the same scrutiny as human-authored commits, offering both granular attribution and robust evaluation sandboxes.
Is AgentDiff free?
AgentDiff is Freemium. Open source version is free with core ledger functionality; Enterprise suite adds private repository support, SSO, and compliance alerts. Check the official site for current plans.
What is AgentDiff best for?
Engineering teams needing verifiable AI code provenance for compliance and organizations requiring deterministic evaluation of AI agent tool-calling against API replicas.
Who makes AgentDiff?
AgentDiff is developed by AgentStatus / codeprakhar25. It is listed in the AI Testing & Quality Assurance category on ai.dosa.dev.
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