Track changes, rollback bad deployments, and collaborate on AI pipelines like developers do with code. Finally, first-class git for AI.
# Initialize tracking on your AI workflow $ wg init workflow-prod --template production # Track changes automatically $ wg commit -m "Update gpt-4 to gpt-4o, fix prompt injection" ✓ Committed a3f8c2d · 2 files changed · 3 min ago
AI workflows are becoming critical infrastructure, but there's no "AI git." Teams use fragile scripts, manual notes, and hope.
AI workflow changes are invisible—no diff, no history, no rollback. You never know what changed between versions.
When a workflow breaks, you have no idea what changed. Hours spent bisecting manually crafted configs.
Teams can't collaborate on AI pipelines—who changed what, when? No audit trail, no code review.
Run wg init to start tracking your AI workflow folder.
Every prompt, model, and parameter change is automatically recorded.
Create feature branches, develop safely, merge when proven.
One-click revert to any previous workflow version.
Full audit trail of every change to prompts, models, and parameters. Never lose context again.
One-click revert to any previous workflow version. Fix broken deployments in seconds.
Develop new AI logic safely in branches. Merge when proven, discard if not.
Visual diff between workflow versions. See exactly what changed in prompts and configs.
Multi-user with role-based access and change approvals. Know who changed what.
Track workflow output quality over versions. Know when changes improve or degrade results.
commit a3f8c2d (HEAD -> main)
Author: Sarah Chen <sarah@acme.ai>
Date: 2 hours ago
Update gpt-4 to gpt-4o, fix prompt injection
- Changed model from gpt-4 to gpt-4o
- Added input validation for user prompts
- Updated system prompt for better context
commit 9f2b1a4
Author: Marcus Johnson <marcus@acme.ai>
Date: 5 hours ago
Refactor extraction chain for better accuracy
commit 7c3d9e2
Author: Sarah Chen <sarah@acme.ai>
Date: Yesterday
Initial workflow setup with LangChain
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SDKs available for Python, Node.js, Go
5 seats included, $15/seat beyond · Annual discount: 2 months free
WorkflowGit monitors your workflow folder for changes. When you run wg commit, it captures a snapshot of your prompts, configs, models, and parameters. Every commit creates a complete version that can be restored or compared.
We natively support LangChain, CrewAI, and AutoGen. Our REST API and SDKs allow integration with any AI workflow framework. We also have templates for common patterns like RAG pipelines, agent orchestration, and multi-model routing.
Rollbacks are instant. Run wg rollback <commit-hash> and your workflow reverts to that exact state—prompts, models, parameters, everything. You can preview changes before applying them, and rollbacks are themselves versioned so you can undo a rollback.
Yes. All data is encrypted at rest and in transit. We offer both cloud-hosted (SOC 2 compliant) and self-hosted options. Your workflow configs never leave your infrastructure if you choose self-hosting.
Yes, Enterprise plan includes self-hosted deployment. Run WorkflowGit on your own infrastructure with Docker or Kubernetes. All features work locally, and you can sync with our cloud for collaboration if desired.
Pro and Enterprise plans include full collaboration. Create teams, assign roles (admin, developer, viewer), and set up approval workflows for production deployments. Every change is attributed to a user with a complete audit trail.
Free for 3 workflows. No credit card required.
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