Branch
Start from proven agents
Create deployment branches from agents that already work. Don't rebuild from scratch for each customer.
- Base agent versioning
- Environment configuration
- Site-specific changes
An agent that works in one environment is not automatically a scalable product. Pelagic helps you redeploy agents across customer environments without rebuilding from scratch each time.
Pelagic turns agent redeployment into a repeatable system. Start with an agent that works at one customer, then branch it for the next. We find what changes in the new environment and what assumptions no longer hold.
Track the complete agent: model, prompts, tools, memory, permissions, and runtime.
Branch from a proven agent to adapt it for a new customer or environment.
See what changed between environments and which assumptions no longer hold.
Run checks that expose what will break when an agent enters a new environment.
Turn discovered failures into reusable tests and fixes for future deployments.
Classify changes as reusable learning or site-specific adaptations.
Today, each new environment is a manual redevelopment project. Pelagic finds what you don't yet know will break.
Create deployment branches from agents that already work. Don't rebuild from scratch for each customer.
Run transfer tests that expose environment-specific failures before they reach production.
Convert discovered issues into corrective data and regression tests that improve future deployments.
Classify changes as reusable or site-specific. Every deployment teaches the next one.
Support, IT, HR, and workflow agents deployed across many customer systems.
Specialized agents adapting to different enterprise environments and policies.
Codebase adaptation across different repositories, CI systems, and security rules.
Embodied systems deployed across facilities with different layouts and workflows.
Implementation teams serving multiple customers with similar agent needs.
Systems working across different enterprise environments and data sources.