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Daily tips and tutorials on LLMs, RAG and AI Agents | Author of books on GPT-3 & Neural Search in Production | DM open for collaboration

Mar 20, 7 tweets

5 AI agent frameworks to build multi-agent applications.

100% opensource.

They aren't LangChain, Crew AI, or OpenAI Agents SDK.

1. Motia is an AI agent framework is built for Software Engineers. Build agents in Python, TypeScript, JavaScript or Ruby.

github.com/MotiaDev/motia

2. Agno is a lightweight Python library for building Multimodal Agents with memory, knowledge, and tools.

• ~10,000x faster than LangGraph
• Build teams of specialized agents
• Make Agents respond with structured data

github.com/agno-agi/agno

3. AWS Multi-Agent Orchestrator is a flexible framework to build multi-agents AI applications.

4. • Routes queries to the most suitable agent
• Fully implemented in both Python and TypeScript
• Variety of ready-to-use agents

github.com/awslabs/multi-…

4. PydanticAI is a Python based agent framework to build production grade applications.

• Model-agnostic
• Python-centric Design
• Structured outputs

github.com/pydantic/pydan…

5. AutoAgent creates and deploys fully-automated AI agents with no-code. Build multi-agent teams and agentic RAG apps from simple prompts.

It is equipped with a native self-managing vector database, outperforms industry-leading solutions like LangChain.

github.com/HKUDS/AutoAgent

I have created 50+ AI Agents and RAG tutorials, 100% free and opensource.

Two simple steps to get started:
1. Subscribe to Unwind AI (for free): theunwindai.com
2. Star the repo: github.com/Shubhamsaboo/a…

New AI Agents and RAG tutorials added every week.

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