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AgentOpsAI, an agent monitoring platform, is leveraging the Gemini API to assist developers in deploying AI agents efficiently. In a recent collaboration, a Series B company transitioned from a prototype built in LangGraph to a fully functional agent in just five minutes using AgentStack from AgentOpsAI, showcasing the platform's rapid development capabilities. Additionally, LangChainAI and CopilotKit have introduced CoAgents, a frontend framework for creating agent-native applications, further simplifying the development process. A tutorial demonstrates how to build an app named 'Searchy' using LangGraph and CoAgents, allowing developers to create sophisticated applications in a fraction of the time typically required.
Build an Agent-Native application with LangGraph & CoAgents in a few minutes🦜🪁🚀 🎥New Tutorial by @ataiiam https://t.co/vprxbibW8D Build an app with: - Embedded LangGraph agent 🦜 - Agentic UI/UX ✨ - Shared state & actions between App <--> Agent 🪁 https://t.co/JqS3WfKXUB
Super excited for this continued collab with @LangChainAI, getting strong reception! I recorded a tutorial going from a 'dumb' react app to an Agent-Native app in 5 minutes of work 💪 You can now replicate what large teams took months to build, in minutes w LangGraph + CoAgents https://t.co/Lup7ThWexj
🖼️Build Agent-Native Apps with LangGraph & CoAgents CoAgents (by CopilotKit🪁) is a frontend framework for building agent-native apps (similar to Replit's AI Agent, ChatGPT's Canvas, etc) This tutorial shows how to build one ("Searchy") https://t.co/D9omZ0vYDf https://t.co/EILZKkWc2x
