deer-flow logo
deer-flow
★ 84.3k
vs
ICLR2025-Papers-with-Code logo
ICLR2025-Papers-with-Code
★ 590

deer-flow vs ICLR2025-Papers-with-Code

deer-flow: DeerFlow is a community-driven framework designed for deep research, integrating language models with specialized tools for tasks like web search, crawling, and Python code execution. It offers a modular multi-agent system architecture for automated research, supporting various search engines, crawling tools, and private knowledge bases.; 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.

01

TL;DR

deer-flow logo
deer-flowMulti-Agent · ★ 84.3k
When to choose:
  • You want a batteries-included LangGraph agent runtime with a file system, isolated bash/Docker sandbox, persistent memory, and sub-agent delegation.
  • You want to trigger long-running tasks from Feishu, WeCom, DingTalk, WeChat, Slack, or Telegram without exposing a public IP.
When to skip:
  • Your machine or VPS has only 2 vCPU / 4 GB RAM; DeerFlow recommends 8 vCPU / 16 GB RAM for shared servers.
  • You only want a lightweight script that writes cited web research reports without running local sandboxes; GPT Researcher is much lighter.
ICLR2025-Papers-with-Code logo
ICLR2025-Papers-with-CodeRAG / Knowledge Base · ★ 590

Researchers and practitioners staying updated on the latest ICLR findings in LLM and NLP.

02

Side-by-Side Comparison

Field
deer-flow logodeer-flow
ICLR2025-Papers-with-Code logoICLR2025-Papers-with-Code
Category
Multi-Agent
RAG / Knowledge Base
Stars
★ 84.3k
★ 590
License
MIT
—
Install Command
uv sync
git clone https://github.com/yinizhilian/ICLR2025-Papers-with-Code.git
Updated
1d ago
1y ago
Open Source
Yes
Yes
Tags
LLM, Multi-Agent, Research Automation
LLM, NLP, AI Research
03

Features

deer-flow logodeer-flow
01Multi-model LLM integration via LiteLLM with OpenAI-compatible API
02Comprehensive web search and crawling using diverse engines like InfoQuest and Tavily
03RAG integration with multiple vector databases including Qdrant and RAGFlow
04Human-in-the-loop collaboration with intelligent clarification and interactive plan modification
05Automated content creation for podcasts and presentations with AI-powered script generation
ICLR2025-Papers-with-Code logoICLR2025-Papers-with-Code
01Collects ICLR 2025 papers and their corresponding open-source projects.
02Primarily focuses on advancements in Large Language Models (LLM) and Natural Language Processing (NLP).
03Provides access to collections of papers and code from previous ICLR conferences (2021-2024).
04Offers direct links to paper PDFs on OpenReview and code repositories (e.g., GitHub, Hugging Face).
05Promotes a premium AI knowledge community ('AINLPer星球') for daily updates, advanced learning, and industry insights.
04

Use Cases

deer-flow logodeer-flow
↳Conducting deep research and generating comprehensive reports with multimedia content
↳Automated creation of podcasts, articles, and presentations from research findings
↳Intelligent information retrieval and analysis for complex queries and trending topics
ICLR2025-Papers-with-Code logoICLR2025-Papers-with-Code
↳Researchers and practitioners staying updated on the latest ICLR findings in LLM and NLP.
↳Developers seeking open-source implementations and code for published ICLR papers.
↳Individuals interested in joining a dedicated AI knowledge community for continuous learning and networking.
05

Best For

deer-flow logodeer-flow
Most PopularEssentialTrending
ICLR2025-Papers-with-Code logoICLR2025-Papers-with-Code
—
FAQ

FAQ

What is the difference between deer-flow and ICLR2025-Papers-with-Code?
Both deer-flow and ICLR2025-Papers-with-Code are in the Multi-Agent category. deer-flow has 84.3k stars, while ICLR2025-Papers-with-Code has 590 stars.
Which is better, deer-flow or ICLR2025-Papers-with-Code?
The best choice depends on your use case. Choose deer-flow if Conducting deep research and generating comprehensive reports with multimedia content, and ICLR2025-Papers-with-Code if Researchers and practitioners staying updated on the latest ICLR findings in LLM and NLP..
Is deer-flow free or open source?
Yes, deer-flow is open source on GitHub (MIT).
Is ICLR2025-Papers-with-Code free or open source?
Yes, ICLR2025-Papers-with-Code is open source on GitHub.
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