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BEA

Planned scope: Multi-model AI agent with critic feedback, tool execution, web/RAG verification, and persistent memory.

Personal Project

Technologies: Python, Qwen3, AI Agents

Overview

Agent responses can require outside evidence, multiple steps, and context retained across tasks.

BEA explores a multi-model workflow that plans a task, uses tools, verifies evidence, and produces an answer with critic feedback.

Proposed workflow

  1. Plan the task.
  2. Execute tools and retrieve relevant material.
  3. Check the evidence with web and retrieval-assisted verification.
  4. Use critic feedback to revise the answer and retain relevant context.

Project status

A source repository, test suite, and evaluation results are pending publication.

Implementation status and deployment readiness remain unverified.