Aryan-Pardeshi/DeepResearch_AI helps turn isolated prompts and tools into repeatable agent workflows

Описание и применение

Aryan-Pardeshi/DeepResearch_AI: open-source проект в категориях Orchestration, Knowledge/RAG, Automation, AI/ML, Frontend. Практическое применение: coordinate multi-agent workflows; add tool-use pipelines. Уровень готовности: готов для серьезного pilot с проверкой license, security и maintainer activity.

Задача

Aryan-Pardeshi/DeepResearch_AI helps turn isolated prompts and tools into repeatable agent workflows.

Результат

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

Рабочий процесс

• coordinate multi-agent workflows
• add tool-use pipelines
• standardize agent memory

Доказательства

AI research workspace with two modes — DeepSearch turns a query into a cited web report in ~2 min; Research Mode runs a 25-agent pipeline that writes a full academic paper (PRISMA diagram, verified citations, PDF/DOCX export). 4 human-in-the-loop checkpoints. Built with LangGraph, FastAPI, and any OpenAI-compatible LLM.

Источник