GPT Researcher vs ICLR2025-Papers-with-Code
GPT Researcher: GPT Researcher is an open-source LLM agent designed for deep, structured research on any topic using web and local sources. It produces detailed reports with citations by running parallel research agents, scraping relevant sources, filtering content, and synthesizing findings. Supports local document research, customizable report formats, and multiple LLM backends including OpenAI, Anthropic, and Ollama.; ICLR2025-Papers-with-Code: This repository curates a collection of ICLR 2025 papers and open-source projects, with a strong focus on Large Language Models and Natural Language Processing. It continuously updates to provide the latest research advancements, also linking to prior ICLR editions and an AI knowledge community.
TL;DR
- You want an Apache-2.0 agent that plans sub-questions, searches the web and local documents in parallel, and writes 2,000+ word reports with citations.
- You want to use it as a Python library, standalone web app, or MCP-connected research skill with PDF/Word export.
- You want a general-purpose super-agent harness with a bash sandbox, persistent memory, and Feishu/WeCom/Slack bots; DeerFlow is built for that.
- You do not want per-report search API (e.g. Tavily) and multi-call LLM token costs.
Researchers and practitioners staying updated on the latest ICLR findings in LLM and NLP.
Side-by-Side Comparison
GPT ResearcherICLR2025-Papers-with-CodeFeatures
GPT ResearcherICLR2025-Papers-with-CodeUse Cases
GPT ResearcherICLR2025-Papers-with-CodeBest For
GPT ResearcherICLR2025-Papers-with-CodeFAQ
Deploy on DigitalOcean
Host your MCP servers, Docker containers, and AI agents with $200 free credit over 60 days.