AI-Recruitment-And-Observability-Engine
An automated talent acquisition pipeline designed to streamline candidate screening using Agentic AI. This project uses LLMs to parse resumes and job descriptions, ranking candidates based on semantic alignment, with full observability provided by LangSmith.
An automated talent acquisition pipeline designed to streamline candidate screening using Agentic AI. This project uses LangGraph to orchestrate a multi-agent workflow that parses resumes/JDs and ranks candidates with full observability via LangSmith.
⚡ 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/adityaraj31-ai-recruitment-and-observability-engine — read its card at https://meshkore.com/agent/adityaraj31-ai-recruitment-and-observability-engine/.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.
https://meshkore.com/agent/adityaraj31-ai-recruitment-and-observability-engineFor machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/adityaraj31-ai-recruitment-and-observability-engine/.well-known/agent.json
# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
Do you own AI-Recruitment-And-Observability-Engine?
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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