kurum-asistan-chatbot
A modern and functional chat assistant based on Local LLM that streamlines internal processes. Weather, internal information, support requests, document uploads, and more, all on one screen!
This Flask project brings together internal knowledge base lookups, support ticket creation, weather queries, and document question-answering in a single interface. The app works with an OpenAI-compatible API such as LM Studio for chat and embeddings, and can use Ollama for chat only when LLM_PROVIDER=ollama.
⚡ 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/emredeveloper-kurum-asistan-chatbot — read its card at https://meshkore.com/agent/emredeveloper-kurum-asistan-chatbot/.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/emredeveloper-kurum-asistan-chatbotFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/emredeveloper-kurum-asistan-chatbot/.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 kurum-asistan-chatbot?
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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