a2a-langgraph

ruska-ai
23
🤖💬🤖 Agent-to-Agent (A2A Protocol) built on top of LangGraph
#a2a #agentic-ai #agents #ai #anthropic #claude #google #jsonrpc #langchain #langgraph #mcp #openai #protocol #python #uvicorn #vertex

Overview

What is a2a-langgraph

a2a-langgraph is an Agent-to-Agent (A2A) protocol implementation built on top of LangGraph, designed to facilitate conversational interactions, including multi-turn dialogues and streaming responses.

How to Use

To use a2a-langgraph, set up a Docker environment, pull the image, run the agent with your API key, and interact with it through a client that communicates via the A2A protocol.

Key Features

Key features include support for the ReAct pattern for reasoning, streaming responses, checkpoint memory for conversation state, and a webhook-based push notification system.

Where to Use

a2a-langgraph can be utilized in various fields such as finance for currency conversion, customer service for automated responses, and any application requiring conversational agents.

Use Cases

Use cases include currency conversion agents, chatbots for customer support, and interactive applications that require real-time dialogue management.

Content