Multi-GPT vs STORM
Side-by-side comparison of two AI agent tools
Short answer
- STORM is growing faster: +558 GitHub stars in the last 30 days vs +1 for Multi-GPT.
- Pick Multi-GPT for: an experimental open-source attempt to make GPT-4 fully autonomous. Pick STORM for: an LLM-powered knowledge curation system that researches a topic and generates a full-length report.
From GitHub data refreshed daily.
Multi-GPTopen-source
An experimental open-source attempt to make GPT-4 fully autonomous.
STORMopen-source
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
Metrics
| Multi-GPT | STORM | |
|---|---|---|
| Stars | 565 | 31.6k |
| Star velocity /mo | 0.6349206349206349 | 558.0952380952382 |
| Commits (90d) | 0 | 0 |
| Releases (6m) | 0 | 0 |
| Overall score | 0.1569859781809224 | 0.3758979607278819 |
Pros
- +多代理协作机制：不同专家可以发挥各自优势，理论上比单一代理能处理更复杂的任务
- +完整的记忆系统：支持长短期记忆管理，支持多种后端（Redis、Pinecone、Milvus、Weaviate）
- +互联网访问能力：具备搜索和信息收集功能，可以访问流行网站和平台获取实时信息
- +Automated multi-perspective research that synthesizes information from diverse Internet sources into structured, Wikipedia-style articles with proper citations
- +Human-AI collaborative features through Co-STORM enable interactive knowledge curation with user guidance and preferences
- +Flexible architecture supporting multiple language models, search engines, and document sources through modular components and extensive customization options
Cons
- -实验性项目：稳定性和可靠性未经充分验证，可能存在未知风险
- -配置复杂：需要多个 API 密钥和记忆后端设置，学习和部署门槛较高
- -资源消耗大：运行多个 GPT-4 实例会显著增加 API 调用成本和计算资源需求
- -Cannot produce publication-ready articles and requires significant manual editing and fact-checking before professional use
- -Quality and accuracy depend heavily on the underlying language model and search results, potentially leading to inconsistencies or outdated information
- -Complex setup and configuration may be challenging for non-technical users despite simplified installation options
Use Cases
- •复杂研究项目：需要整合多个学科知识和专业技能的研究任务
- •长期项目管理：需要持续记忆和状态跟踪的项目，如产品开发或学术研究
- •自动化信息工作流：大规模信息收集、分析和处理任务的自动化
- •Pre-writing research assistance for Wikipedia editors and content creators who need comprehensive topic overviews before manual article development
- •Academic research synthesis for students and researchers who need to quickly gather and organize information from multiple sources on specific topics
- •Knowledge base generation for organizations that need to create structured reports from internal documents and external sources
FAQ
- Which is more popular, Multi-GPT or STORM?
- STORM has more GitHub stars (31,555 vs 565).
- Which is more actively developed, Multi-GPT or STORM?
- Multi-GPT had more commits in the last 90 days (0 vs 0).
- Should I use Multi-GPT or STORM?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.