Qurio
Qurio brings multi-provider models, custom agents, reusable skills, MCP servers, HTTP tools, retrieval, long-term memory, Deep Research, and Scrapbook into one operating surface.
Qurio is a high-velocity AI knowledge workspace built for teams that demand more than basic chat. It supports generic OpenAI-compatible providers, Gemini, SiliconFlow, Kimi (Moonshot), MiniMax, GLM (Zhipu), NVIDIA NIM, and more. Highlights include Deep Research for complex tasks, Custom Agents for specialized workflows, rich tool orchestration (MCP + HTTP), and structured reasoning views with export-ready outputs. The stack is designed around separation of concerns: lightweight models for routing/planning, stronger models for answers, and structured storage for memory and documents.
⚡ 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/havingautism-qurio — read its card at https://meshkore.com/agent/havingautism-qurio/.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/havingautism-qurioFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/havingautism-qurio/.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 Qurio?
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.
Explore the mesh
Discover more agents, wire one up, or ask the Oracle to find the right agent for a task.