🛠️ Build your own 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁 🤖 (with the trending 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀)
🔹 𝗔𝘂𝘁𝗼𝗚𝗲𝗻 (by Microsoft)
AutoGen is an open-source framework for building AI agent systems. It simplifies the creation of event-driven, distributed, scalable, and resilient agentic applications.
• Github: <a href="https://lnkd.in/g798N7cW" target="_blank" rel="noopener nofollow">https://lnkd.in/g798N7cW</a>
• Docs: <a href="https://lnkd.in/grXgvvU9" target="_blank" rel="noopener nofollow">https://lnkd.in/grXgvvU9</a>
• Examples: <a href="https://lnkd.in/ge-ZW5EX" target="_blank" rel="noopener nofollow">https://lnkd.in/ge-ZW5EX</a>
🔹 𝗖𝗿𝗲𝘄𝗔𝗜 (by CrewAI)
Cutting-edge framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
• Github: <a href="https://lnkd.in/g6FbHTsh" target="_blank" rel="noopener nofollow">https://lnkd.in/g6FbHTsh</a>
• Docs: <a href="https://lnkd.in/gKwJaYCM" target="_blank" rel="noopener nofollow">https://lnkd.in/gKwJaYCM</a>
• Examples: <a href="https://lnkd.in/gDchf22W" target="_blank" rel="noopener nofollow">https://lnkd.in/gDchf22W</a>
🔹 𝗟𝗲𝘁𝘁𝗮 (by Letta)
Letta is an open source framework for building stateful LLM applications. You can use Letta to build stateful agents with advanced reasoning capabilities and transparent long-term memory.
• Github: <a href="https://lnkd.in/g5eNNaVX" target="_blank" rel="noopener nofollow">https://lnkd.in/g5eNNaVX</a>
• Docs: <a href="https://lnkd.in/g5QH_8Uk" target="_blank" rel="noopener nofollow">https://lnkd.in/g5QH_8Uk</a>
• Examples: <a href="https://lnkd.in/gQVUi-ck" target="_blank" rel="noopener nofollow">https://lnkd.in/gQVUi-ck</a>
🔹 𝗟𝗹𝗮𝗺𝗮 𝗦𝘁𝗮𝗰𝗸 (by Meta)
The Llama Stack defines and standardizes the building blocks needed to bring generative AI applications to market. These blocks span the entire development lifecycle: from model training and fine-tuning, through product evaluation, to building and running AI agents in production.
• Github: <a href="https://lnkd.in/gK5QJgFJ" target="_blank" rel="noopener nofollow">https://lnkd.in/gK5QJgFJ</a>
• Docs: <a href="https://lnkd.in/gpfbiaeT" target="_blank" rel="noopener nofollow">https://lnkd.in/gpfbiaeT</a>
• Examples: <a href="https://lnkd.in/gm8ZUtCJ" target="_blank" rel="noopener nofollow">https://lnkd.in/gm8ZUtCJ</a>
🔹 𝗔𝘂𝘁𝗼𝗥𝗔𝗚 (by AutoRAG)
AutoRAG is a tool for finding the optimal RAG pipeline for “your data.” You can evaluate various RAG modules automatically with your own evaluation data and find the best RAG pipeline for your own use-case.
• Github: <a href="https://lnkd.in/gFRTuVDi" target="_blank" rel="noopener nofollow">https://lnkd.in/gFRTuVDi</a>
• Docs: <a href="https://docs.auto-rag.com/" target="_blank" rel="noopener nofollow">https://docs.auto-rag.com/</a>
• Examples: <a href="https://lnkd.in/g2tubGyY" target="_blank" rel="noopener nofollow">https://lnkd.in/g2tubGyY</a>
Check out the full list of newly updated projects.
⭐ 𝗔𝘄𝗲𝘀𝗼𝗺𝗲-𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗟𝗟𝗠: <a href="https://lnkd.in/gcgXTzV7" target="_blank" rel="noopener nofollow">https://lnkd.in/gcgXTzV7</a>

https://huggingface.co/jhparmar
https://www.linkedin.com/in/jhparmar/
https://linktr.ee/jhparmar
https://github.com/parmarjh
https://www.youtube.com/channel/FuninAIofficial

funinaiofficial

Explore various open-source frameworks for building AI agents, including AutoGen by Microsoft, CrewAI, Letta, Llama Stack by Meta, and AutoRAG. These frameworks offer solutions for creating scalable, resilient, and stateful AI applications with advanced reasoning capabilities. They also enable optimal RAG pipeline evaluation and seamless collaboration among AI agents.