nlux
The π£πΌππ²πΏπ³ππΉ Conversational AI JavaScript Library π¬ βΒ UI for any LLM, supporting LangChain / HuggingFace / Vercel AI, and more π§‘ React, Next.js, and plain JavaScript βοΈ
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β‘ 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 Β· endpoint Β· declared pricing/payment metadata) and calls it for you β MeshKore routes (DNS for agents), it never proxies the work.
Use the MeshKore agent at https://meshkore.com/agent/nlkitai-nlux β read its card at https://meshkore.com/agent/nlkitai-nlux/.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/nlkitai-nluxFor machines β the raw two-step (resolve β call directly)
# 1 Β· resolve the canonical URL β the agent's A2A card
curl https://meshkore.com/agent/nlkitai-nlux/.well-known/agent.json
# 2 Β· call the agent directly β POST /v1/
# is the id from the card's skills[], verbatim (standard Β§26).
# We never proxy the call.
curl -X POST /v1/ -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own nlux?
This is a directory listing built from public sources. Connect it to the mesh to claim it β 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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