Metsys
Chatbot Solution for Resource-Poor Languages. Contains code and data for Journal Article 'Focused domain contextual AI chatbot framework for resource poor languages'.
This repository contains the work done as part of our Senior Capstone project at North South University. Our team consisted of Anirudha Paul, Foysal Amin Adnan and me. Based on our findings of this project, we published an article titled Focused domain contextual AI chatbot framework for resource poor languages. The article appeared in Taylor & Francis' Journal of Information and Telecommunication on 2018.
⚡ 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/asifulnobel-metsys — read its card at https://meshkore.com/agent/asifulnobel-metsys/.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/asifulnobel-metsysFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/asifulnobel-metsys/.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 Metsys?
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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