Same model. Better output.
Orc's orchestration, governance, working memory, and skill library compound into measurable lift on top of any frontier model. The model you already trust, doing work it couldn't do on its own.
The model isn't the bottleneck. Everything around it is.
Plug in your model of choice and get more out of it.
Lift from specialized agents and memory system
Each layer adds measurable lift; together, they multiply.
Improvement across all use cases
Across coding, refactoring, debugging, and migration tasks, Orc delivers double-digit lift on every frontier model we've tested.
Bring your own model API Keys
Your code and context never leave your infrastructure or get mixed into anyone else's training data.
- Works with Anthropic, OpenAI, and open-weight models.
- Swap models per agent or per task without rewriting workflows.
- Recalls archived facts on demand when later steps need them
FAQ
No switching required. You use the model you already trust and bring your own API keys. Orchestrator works with the major providers (Anthropic, OpenAI, Google) and open-weight models.
Yes. Teams can swap models per agent or per task without rewriting workflows.
Orchestrator adds coordination, memory, governance, and agent specialization around the model, which helps it perform better on complex engineering workflows than a standalone model call.