🚀 Explore the fusion of AutoGen with MemGPT for local, private data processing! Discover how to integrate these powerful tools on your machine locally. 🔐💻

Code : [ Ссылка ]

AutoGen Tutorials: [ Ссылка ]

Text Generation Web UI Tutorial: [ Ссылка ]
AutoGen Basics: [ Ссылка ]
AutoGen + Text Generation WebUI : [ Ссылка ]
AutoGen + MemGPT : [ Ссылка ]
AutoGen + Google Palm API & more! : [ Ссылка ]
AutoGen + Ollama : [ Ссылка ]


✨ Benefits:
Private data processing locally.
Unlimited agents with MemGPT.
Open-source language model customization.

👇 Timestamps:
0:00 - Intro to AutoGen & MemGPT Integration
0:03 - Setting Up Local Environment
0:14 - Code Walkthrough
0:49 - Creating Virtual Environments & Installing Packages
1:15 - Writing the AutoGen & MemGPT Integration Code
2:01 - Configuring User Proxy & Coder Agents
3:00 - Setting up Text Generation Web UI
3:30 - Downloading & Loading Models
4:02 - API Configuration for Text Generation
5:00 - Debugging & Execution of the Code

AutoGen has revolutionised LLM application development with its multi-agent framework, paving the way for seamless integration with MemGPT locally. 🛠️ Running AutoGen alongside MemGPT offers a sandbox for developers to orchestrate complex workflows, leveraging local LLMs for enhanced performance and reduced latency. 🚀

Embracing local LLMs enables developers to fine-tune the functionality of MemGPT, a system designed to manage its own memory for expansive contexts. 🧠 This setup maximises the potential of LLMs as operating systems, allowing them to remember and evolve through interactions, akin to a human. 🤖

The collaboration between AutoGen and MemGPT ushers in a new era of AI capabilities, where local LLMs can be fine-tuned for specialised tasks, leading to more robust, efficient, and sophisticated AI applications. 🌟 With this integration in experimental stages, developers are encouraged to contribute to the evolving landscape of MemGPT with open models. 🌱

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