Orca
Runs many coding agents in parallel while still using the subscriptions you already pay for — the cost model is the product.
Orca's pitch is not a smarter agent, it is cheaper concurrency: bring your own subscription and fan work out across a fleet, on desktop, mobile, or a remote runtime. That distinction matters when your bottleneck is not model quality but how many tasks can move at once. The thing to verify before you commit is isolation — parallel agents sharing credentials and a filesystem is where the interesting failures live. Ask what each agent can see before asking how fast it runs.
Best for: Teams whose throughput is limited by parallelism rather than model capability