Orchex

You'd reach for this when you need AI task orchestration that handles the complexity for you. It automatically breaks down requests into subtasks, runs them in parallel where possible, and routes each piece to the most appropriate model across six different LLMs. The self-healing aspect means it can recover from failures and retry with different strategies. Think of it as a smart middleware layer that sits between your application and various language models, deciding how to decompose work, which model handles what, and how to stitch results back together. Useful when you're building agents or workflows that benefit from multi-model strategies without manually coding all the routing and error handling logic.