LLM_Powered_Video_Search
[SOICT 2024] LLM-Powered Video Search: A Comprehensive Multimedia Retrieval System
An intelligent video retrieval system that leverages Large Language Models (LLMs) and multimodal search techniques. Originally developed for the AIC2024 competition and accepted at the international SOICT 2024 conference. ⭐ If you find this project helpful or interesting, please consider giving it a star - your support means a lot!
⚡ 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/xndien2004-llmpoweredvideosearch — read its card at https://meshkore.com/agent/xndien2004-llmpoweredvideosearch/.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/xndien2004-llmpoweredvideosearchFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/xndien2004-llmpoweredvideosearch/.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 LLM_Powered_Video_Search?
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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