Orkas

You start by defining the agents that make up a team and the goal you want them to pursue. Each agent is configured with a role, a model and a set of tools it is allowed to use. Orkas then coordinates the agents: a planning agent breaks the goal into tasks, delegates those tasks to the agents best suited to them, and collects the results. Agents communicate through a shared orchestration layer, so a researcher can hand findings to a writer, or a coder can hand output to a reviewer, without you shuttling text by hand. You watch each hand-off in the interface, intervene when you want to, and keep the whole run local unless you deliberately reach for a hosted model.

• •Multi-Agent Orchestration - Compose teams of specialized agents that plan, delegate and review work among themselves, turning a single prompt into a coordinated workflow rather than a one-shot answer.
• •Local-First Execution - Run the platform and your agents on your own hardware so prompts, files and intermediate results stay private, with hosted models available only when you choose to reach for them.
• •Open-Source and Inspectable - The orchestration engine is open-source and actively maintained, so you can read, fork and extend the logic instead of trusting an opaque service.
• •Pluggable Models and Tools - Assign each agent its own model and its own toolset, mixing local and cloud models across a single team to balance cost, speed and privacy.
• •Visual Workflow Builder - Wire agents and their hand-offs together in a visual layer and watch tasks move between them step by step, making complex automations easy to design and debug.
• •Flexible Access - Use it free with a starting credit allowance, add a self-serve plan as your usage grows, or buy a one-time pack, so individuals and teams can scale on their own terms.

Perfect for developers building autonomous agent workflows, operations and research teams automating multi-step processes, and privacy-conscious organizations that cannot send their data to a third-party cloud. Engineers appreciate the open, inspectable runtime and the freedom to assign any model to any agent. Teams handling proprietary code or confidential documents value the local-first design that keeps work on their own machines. Tinkerers and open-source contributors will find a project they can read, extend and shape, while anyone who has outgrown single-prompt assistants gets a way to orchestrate real, coordinated work.