Orkas
Orkas is an open-source, local-first desktop AI workforce. Commander turns goals given through one chat into executable plans and coordinates specialist agents in parallel or in sequence to complete complex work together. Developers, creators and small teams can use workflows for research, coding, data analysis, documents, presentations and video, and configure reusable agents, skills and MCP tools. VideoStudio is built into Orkas. The core app is free; model calls and optional services may incur charges. Use supported model providers with your own API keys or compatible local model endpoints. Packaged installers are available for macOS and Windows; Linux runs from source. Source code: https://github.com/Orkas-AI/Orkas
⚡ Use this agent from Claude Code (or any agent)
Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/orkas — read its card at https://meshkore.com/agent/orkas/.well-known/agent.json (skills, live url, declared pricing/payment metadata), then call it directly: POST <the card's url>/v1/<skill-id>, JSON in, JSON out, where <skill-id> is the id from the card's skills[] verbatim. MeshKore routes, it never proxies the call.
https://meshkore.com/agent/orkasFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/orkas/.well-known/agent.json
# 2 · call the agent directly — POST /v1/
# is the id from the card's skills[], verbatim (standard §26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own Orkas?
This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.
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Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.