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Grok Bot 群聊多机器人协作缺什么

作者吐槽把六个机器人放进一个群聊后,自己反而成了免费调度员,并列出 10 个补足角色分工、交接、共享状态与验证机制的开源项目。

kozh ./
@mr_kozh22 天前收录原推发布于 2026.10.14
Grok Bot 群聊多机器人协作缺什么
kozh ./ @mr_kozh原推发布于 2026.10.14
在 X 上打开原推

JAILBREAK GROK BOT OUT OF THE GROUP CHAT. put six bots in one conversation and you still have to assign every task, carry every result and decide if the work is done. congratulations. you've hired a team and become its unpaid dispatcher. I found 10 open repos, guides and courses for the missing machinery: roles → handoffs → shared state → verification → stop rules here’s the stack I’d study: 01 / Grok Bot docs - group chats and handoffs https://docs.x.ai/grok-bot/chat-and-collaboration 02 / OpenAI Agents SDK - routing and guardrails https://github.com/openai/openai-agents-python 03 / LangGraph - durable state https://github.com/langchain-ai/langgraph 04 / CrewAI - specialist roles https://github.com/crewAIInc/crewAI 05 / Microsoft Agent Framework - orchestration https://github.com/microsoft/agent-framework 06 / Pydantic AI - typed outputs https://github.com/pydantic/pydantic-ai 07 / Anthropic’s Building Effective Agents - workflow design https://www.anthropic.com/engineering/building-effective-agents 08 / Hugging Face AI Agents Course - foundations https://huggingface.co/learn/agents-course/en/unit0/introduction 09 / DeepLearning AI Multi AI Agent Systems - hands-on team patterns https://www.deeplearning.ai/courses/multi-ai-agent-systems-with-crewai 10 / DeepLearning AI Evaluating AI Agents - trace and test failures https://www.deeplearning.ai/courses/evaluating-ai-agents none of these is Grok Bot’s source code. together they teach the pieces behind an agent team that can actually hand work off. save this before your sixth bot joins a meeting nobody knows how to end ↓

这条是引用着另一条写的:x.com/mr_kozh/status/2109231794457608494

x.com/mr_kozh/status/2110056122740584850采集于 2026.10.14 10:31