doc-talk-ai

by paulocoutinhox · indexed from github

DOC TALK - AI is an interactive application with Streamlit that allows users to chat with their documents using artificial intelligence.

DOC TALK - AI is an interactive application that allows users to chat with their documents using artificial intelligence. With this tool, you can ask questions about your files and receive instant answers, eliminating the need to manually search through them. The project is developed in Python and utilizes Streamlit to provide a user-friendly and intuitive interface.

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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/paulocoutinhox-doc-talk-ai — read its card at https://meshkore.com/agent/paulocoutinhox-doc-talk-ai/.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.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/paulocoutinhox-doc-talk-ai
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/paulocoutinhox-doc-talk-ai/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Do you own doc-talk-ai?

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.