Finally, React gets a native way to talk to agents.Building agentic UIs is still way harder than it should be.You've got your agent running on the backend. Maybe it's LangGraph, CrewAI, or something else.Now you need to:→ Stream its outputs to your frontend→ Keep state in sync between UI and agent→ Handle reconnections when users refresh→ Manage the agent lifecycle (start/stop/reset)→ Make it all feel real-timeTo solve this, most teams end up writing a ton of custom glue code, like WebSockets here, state ma ...

RT Avi Chawla (@_avichawla)LangGraph.CrewAI.Agno.Which one to pick?The good news is that this will not matter soon!Finally, we have a full picture of how the industry is solving this with just three open protocols that work across ALL frameworks.It's not about picking the best framework.Instead, it's about understanding how protocols create interoperability.The Agent Protocol Landscape shows how three complementary protocols are creating a universal language for Agents:> AG-UI (Agent-User Interaction):- The ...

Agent Protocol Landscape - The industry is converging on three open protocols for agent interoperability: AG-UI (Agent-User Interaction), MCP (Model Context Protocol), and A2A (Agent-to-Agent) [1][2] - These protocols are complementary layers of a stack, not competing standards, facilitating a universal language for agents [2] - Protocols enable integration of frameworks like LangGraph, CrewAI, and Agno into the same frontend without rewriting UI logic [3] Protocol Functionality - AG-UI enables bidirectional connection between agentic backends and frontends, creating interactive agents within applications [1][2] - MCP standardizes how agents connect to tools, data, and workflows [2] - A2A facilitates multi-agent coordination, enabling task delegation and intent sharing across systems [2][5] Framework Integration - CopilotKit unifies the entire protocol stack into one framework, providing generative UI support and production-ready infrastructure [3][4] - An example workflow involves a LangGraph agent pulling data via MCP, delegating analysis to a CrewAI agent via A2A, and streaming results to a React app via AG-UI [6] Development Focus - Protocols allow developers to focus on building agent capabilities instead of integration mechanics, as interoperability is handled automatically [3]

Google did it again!First, they launched ADK, a fully open-source framework to build, orchestrate, evaluate, and deploy production-grade Agentic systems.And now, they have made it even powerful!Google ADK is now fully compatible with all three major AI protocols out there:- MCP: To connect to external tools- A2A: To connect to other agents- AG-UI: To connect to users.AG-UI is the newest addition, which is an open-source protocol that enables agents to collaborate with users.They worked with the AG-UI team t ...