03Architecture
01 / Supervisor
Coordinates the workflow and maintains task state across specialist agents.
OPENING THE SYSTEM
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A coordinated agent workflow for discovering opportunities, understanding requirements and tailoring applications with human approval.
A supervisor coordinates sourcing, job analysis, retrieval and an application workflow. Persistent memory and human review keep context and approval explicit.
Job applications require repeated sourcing, requirement analysis and careful matching against a candidate’s actual experience.
Coordinates the workflow and maintains task state across specialist agents.
Coordinates the workflow and maintains task state across specialist agents.
Candidate information must stay grounded in the supplied profile. Missing details should be requested, and application actions should remain subject to human approval.
Job descriptions, the candidate’s résumé and profile information, retrieved memory and workflow state.
Separate the supervisor from sourcing and analysis responsibilities. Use retrieval for profile context and durable database state for workflow progress.
FastAPI and asynchronous Python support the backend, SQLite / aiosqlite hold persistent state, Gemini supports language tasks and ChromaDB enables retrieval. The interface uses React, Vite and Tailwind CSS; Docker packages the system.
SupervisorAgent coordinates SourcingAgent, JobAnalysisAgent, retrieval / memory and the application workflow. Tool use and browser automation support bounded steps in that workflow.
No quantitative evaluation has been supplied. Useful future checks include requirement-extraction fidelity, profile-grounding accuracy and correct enforcement of approval gates.
The project demonstrates a production-oriented architecture spanning orchestration, retrieval, state management, automation and human review. Completion status and usage metrics are not asserted.
Keeping state consistent across agents, handling missing candidate information and preserving human control during browser automation.
An application workflow needs more than language generation: it needs reliable state, traceable context and a clear boundary between assistance and action.
Document end-to-end evaluation, recovery behaviour and deployment evidence before publishing production-readiness claims.
The repository link has not been published. Ask about the implementation