modelship
Self-hosted, OpenAI-compatible inference for the agentic era: reasoning LLMs, universal tool calling, and the Responses API alongside embeddings, speech, and image models — many models sharing your GPUs, one gateway. Powered by Ray Serve.
Modelship runs the AI stack your agents call — chat, the Responses API with server-side conversation state (durable with Redis), universal tool calling, and reasoning, alongside embeddings, speech, and image generation — behind one OpenAI-compatible endpoint on your own GPUs (or CPU). Built on Ray Serve: state is shared across gateway replicas, deploys are declarative, and everything is observable. Point the OpenAI SDK at it and your agent runs unchanged — private, with no per-token bill.
⚡ 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/modelship-ai-modelship — read its card at https://meshkore.com/agent/modelship-ai-modelship/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
https://meshkore.com/agent/modelship-ai-modelshipFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/modelship-ai-modelship/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own modelship?
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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