Multi Agent Collaboration
by e2e5gv1.0.0
多智能体协作系统V1.4(最终版),支持**所有行业所有内容**的智能协作: 通用信息守护者(信息采集)、内容趋势优化系统(趋势创作)、状态洞察模块(个人状态)、工作流沉淀系统(报告生成)。 适用于:金融、医疗、教育、零售、科技、制造业、餐饮、服务业等**全行业**。 核心功能:意图识别+智能路由+反思机制+主动...
clawhub install multi-agent-collaborationSecurity Analysis
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“This skill presents multiple high-risk security concerns including suspicious platform flags, complete lack of license, and overly broad claims of handling sensitive data across all industries. The combination of unknown authorship, zero transparency, and platform moderation warnings makes this unsafe for deployment without extensive security review and code audit.”
Last scanned: 3/29/2026
Community Mentions
From Reddit & GitHub discussions
Question is it possible to implement multi-agent flows using langgraph in Langflow?
### Feature Request I would like to implement multi-agent flows based on `langgraph`, as explained in the following tutorials: - [Multi-Agent Collaboration](https://langchain-ai.github.io/langgraph/tutorials/multi_agent/multi-agent-collaboration/) - [Agent Supervisor](https://langchain-ai.githu
docs: add model selection dropdowns for common providers
### Issue with current documentation: A very large part of the documentation end examples provided are about OpenAI models. I clearly understand the importance of build, integrating, and improving langchain, langgraph, langsmith, and other products on the top of OpenAI models, but there is a great
Changelog v1.0.0
Initial release of multi-agent-collaboration skill V1.0.0: - Provides a comprehensive multi-agent collaboration system for all industries. - Key features: intent recognition, smart routing, reflection, proactive perception, user adaptation. - Supports serial, parallel, skip, and streamlined execution modes. - Includes advanced memory system with scenario-based, layered storage, forgetting mechanism, and intelligent retrieval. - Automatically learns user preferences, adapts interactions, and pre...
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Info
- Version
- 1.0.0
- Versions
- 1
- Author
- e2e5g
- Updated
- Mar 29, 2026