Multi-Modal-Chat
Multi-Modal Next.js Chat App with Vercel AI SDK & LangGraph.js
This multi-modal chat platform, built with LangGraph.js, leverages the Vercel AI SDK to stream interactive React components from the server to the client. Users can ask questions, analyze uploaded images, convert content to audio, generate and download charts, display videos and documentation, provide website links, retrieve weather information, and create AI-generated images. A key feature is the use of custom LangChain.js callback events, enabling seamless streaming.
⚡ 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/ashot72-multi-modal-chat — read its card at https://meshkore.com/agent/ashot72-multi-modal-chat/.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/ashot72-multi-modal-chatFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/ashot72-multi-modal-chat/.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 Multi-Modal-Chat?
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.