Multi_Agent_Conversational_Chat
A Typeform-inspired Chat Feature with Chat Agents for Engaging Data Collection, Powered by AutoGen and Langchain. Includes REST API Integration for Messaging Systems.
Replication of Typeform-like chat feature using machine learning techniques. The goal is to create an engaging and persuasive conversational experience for users to willingly share their personal details. Users may not answer correctly, may ask questions, or refuse to provide information until convinced about the reason. The chat agents take on the role of friendly persuaders, seeking to validate and gather information in a natural conversation. The gathered data is then extracted, verified, and saved into a CSV file.
⚡ 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/prathameshparit-multiagentconversationalchat — read its card at https://meshkore.com/agent/prathameshparit-multiagentconversationalchat/.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/prathameshparit-multiagentconversationalchatFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/prathameshparit-multiagentconversationalchat/.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 Multi_Agent_Conversational_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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