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kingabzpro/Multi-Agent-Research-Assistant

Multi-agent research assistant using OpenAI Agents SDK and Olostep to produce sourced Markdown research reports.

Jupyter Notebook APACHE-2.0 GitHub ↗
★ 0
stars
90
AI relevance
50
solo dev
0
tool sigs

SUMMARY AI summary by gpt-5-mini

Multi-Agent Research Assistant: a developer tool that coordinates multiple LLM agents to turn a user research question into a sourced, polished Markdown report rendered in the browser and exportable as a PDF. Built with the OpenAI Agents SDK, Olostep (Answer/Search/Scrape), and Reflex. Who uses it: researchers, engineers, or knowledge workers who need source-backed summaries and reproducible retrieval traces. Key features: - Three-agent workflow (Manager orchestrates, Judge evaluates evidence, Analyst writes the report). - Staged retrieval policy: Olostep Answer → Judge (threshold 0.85) → Search+Scrape → targeted searches and scraping of top 3 pages if needed. - Live progress logs in the Reflex UI, styled Markdown rendering, and ReportLab PDF export. - Code layout: Reflex UI (app/app.py), state/handlers (app/state.py), agents/workflow (app/research_assistant.py), formatting (app/report_formatting.py), PDF export (app/pdf_export.py). Setup via .env and pip requirements.

DETECTED Detected AI stack

AI-related keywords found in this repo's description, topics, or README summary — grouped by category. Each badge links to the corresponding ranking detail page.

🧠 LLM providers (1)
OpenAI
🧩 AI frameworks (1)
OpenAI Agents SDK

GitHub Topics

#agent-orchestration #multi-agent #olostep #openai-agents-sdk #research-assistant #web-research

Language breakdown (by bytes)

Python
47.2%
Jupyter Notebook
52.8%

Owner

Account
kingabzpro
Type
User
Followers
285
Company
@nexusml

A certified data scientist who enjoys building machine learning applications and writing blogs on data science.

Dates

Created on GitHub 2026-05-11
Last push 2026-05-11
First seen here 2026-05-11
Last fetched 2026-05-11 16:12

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