{"repo":"Francis1998/agentic-career-search","free":true,"listed":false,"github":"https://github.com/Francis1998/agentic-career-search","clone":"git clone https://github.com/Francis1998/agentic-career-search.git","description":"Autonomous AI-agent orchestration engine for job discovery with decision traces, tool adapters, and production-grade run control.","language":"Python","stars":101,"topics":["automation","career-tools","fastapi","job-search","python","agentic-workflow","ai-agent","ai-orchestration","autonomous-agents","multi-agent-systems"],"license":null,"category":"ai-agents","readme_excerpt":"agentic-career-search AI-agent backend for autonomous job discovery, explainable decisions, and production-style operations. Demo Gallery Why this exists Most job-search automation demos fail in real usage because they: - cannot explain why a role is ranked highly, - cannot recover cleanly when providers fail, - have no durable event trace for debugging, - become hard to maintain once features grow. This project solves those issues with explicit agent engineering primitives: - deterministic decision engine with rationale traces, - state-machine run lifecycle and durable event log, - tool/adapters abstraction for external integrations, - safety controls (timeouts, bounded scope, cancellation), - optional LLM enrichment via multiple providers. Real use cases (problem - solution) Problem Why it hurts How this repo solves it --- --- --- Teams can scrape jobs but cannot justify recommendations Low trust from users and reviewers AgentDecisionEngine stores score, matched terms, priority tier, and rationale Background runs are hard to debug Silent failures block iteration speed Durable run events ( run. , source. , agent. ) support replay-style troubleshooting Vendor lock-in around one model provider High migration cost and brittle integrations Configurable LLM enrichment supports GPT-5.5, Claude Sonnet 4.6, Gemini 3.x, and Kimi K2-style APIs Model/API outages break the entire flow System appears unreliable Graceful fallback preserves deterministic baseline output when LLM enrichment","default_branch":null,"files":null,"tree":[],"storefront":"/r/Francis1998","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/Francis1998/agentic-career-search/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}