The best A2A alternatives

langflow

langflow-ai/langflow

Langflow is a powerful tool for building and deploying AI-powered agents and workflows.

Choose langflow if…

• you would rather work in Python than Shell
• MIT License suits your use better than Apache License 2.0
• you want the more widely starred option (156.3k)
• you specifically need chatgpt or large-language-models

Shares agents, generative-ai with A2A.

langchain

langchain-ai/langchain

The agent engineering platform.

Choose langchain if…

• you would rather work in Python than Shell
• MIT License suits your use better than Apache License 2.0
• you want the more widely starred option (148.9k)
• you specifically need ai or ai-agents

Shares agents, generative-ai with A2A.

langgraph

langchain-ai/langgraph

Build resilient agents.

Choose langgraph if…

• you would rather work in Python than Shell
• MIT License suits your use better than Apache License 2.0
• you want the more widely starred option (44.4k)
• you specifically need ai or ai-agents

Shares agents, generative-ai with A2A.

GenAI_Agents

NirDiamant/GenAI_Agents

50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

Choose GenAI_Agents if…

• you would rather work in Jupyter Notebook than Shell
• you specifically need agentic-ai or ai

Shares agents, generative-ai with A2A.

agents-towards-production

NirDiamant/agents-towards-production

End-to-end, code-first tutorials for building production-grade GenAI agents. From prototype to enterprise deployment.

Choose agents-towards-production if…

• you would rather work in Jupyter Notebook than Shell
• you specifically need agent or agent-framework

Shares agents, generative-ai with A2A.

generative-ai

GoogleCloudPlatform/generative-ai

Sample code and notebooks for Generative AI on Google Cloud, with Gemini Enterprise Agent Platform

Choose generative-ai if…

• you would rather work in Jupyter Notebook than Shell
• you specifically need gcp or gemini

Shares agents, generative-ai with A2A.

agent-starter-pack

GoogleCloudPlatform/agent-starter-pack

Ship AI Agents to Google Cloud in minutes, not months. Production-ready templates with built-in CI/CD, evaluation, and observability.

Choose agent-starter-pack if…

• you would rather work in Python than Shell
• you prefer a smaller, narrower project to a large one
• you specifically need gcp or gemini

Shares agents, generative-ai with A2A.

ai-data-science-team

business-science/ai-data-science-team

An AI-powered data science team of agents to help you perform common data science tasks 10X faster.

Choose ai-data-science-team if…

• you would rather work in Python than Shell
• MIT License suits your use better than Apache License 2.0
• you prefer a smaller, narrower project to a large one
• you specifically need ai or ai-engineer

Shares agents, generative-ai with A2A.

agentic-rag-for-dummies

GiovanniPasq/agentic-rag-for-dummies

A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.

Choose agentic-rag-for-dummies if…

• you would rather work in Jupyter Notebook than Shell
• MIT License suits your use better than Apache License 2.0
• you prefer a smaller, narrower project to a large one
• you specifically need agent or agentic-ai

Shares agents, generative-ai with A2A.

GenAI-Showcase

mongodb-developer/GenAI-Showcase

MongoDB's Generative AI Showcase: an exhaustive collection of examples and sample applications covering Retrieval-Augmented Generation (RAG), AI agents, and industry-specific use cases.

Choose GenAI-Showcase if…

• you would rather work in Jupyter Notebook than Shell
• MIT License suits your use better than Apache License 2.0
• you prefer a smaller, narrower project to a large one
• you specifically need artificial-intelligence or atlas

Shares agents, generative-ai with A2A.

Hands-On-AI-Engineering

Sumanth077/Hands-On-AI-Engineering

A curated collection of practical AI projects implementing OCR systems, RAG, AI agents, and other AI use cases.

Choose Hands-On-AI-Engineering if…

• you would rather work in Python than Shell
• you prefer a smaller, narrower project to a large one
• you specifically need ai or ai-agents

Shares agents, generative-ai with A2A.

haystack

deepset-ai/haystack

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

Choose haystack if…

• you would rather work in Python than Shell
• you specifically need agent-framework or agentic-ai

Shares agents, generative-ai with A2A.