Integrating AI into every workflow with our open-source, no-code platform, powered by the actor model for dynamic, graph-based solutions.
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Updated
Jun 13, 2024 - TypeScript
Integrating AI into every workflow with our open-source, no-code platform, powered by the actor model for dynamic, graph-based solutions.
An open-source LLM based automatically daily news collecting workflow showcase powered by Agently AI application development framework.
A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
Start building LLM-empowered multi-agent applications in an easier way.
[CVPR2024 Highlight] Editable Scene Simulation for Autonomous Driving via LLM-Agent Collaboration
总结Prompt&LLM论文,开源数据&模型,AIGC应用
SecGPT: An execution isolation architecture for LLM-based systems
A multi-agent chatroom for AutoGen agents
Labs for the "Build an agentic LLM assistant on AWS" workshop. A step by step agentic llm assistant development workshop using serverless three-tier architecture.
Design, conduct and analyze results of AI-powered surveys and experiments. Simulate social science and market research with large numbers of AI agents and LLMs.
An intuitive approach to building with LLMs
This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with LLMs
Harness LLMs with Multi-Agent Programming
On-Call/DevOps Assistant - Get a head start on fixing alerts with AI investigation
The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models (LLMs). Allowing users to chat with LLM models, execute structured function calls and get structured output. Works also with models not fine-tuned to JSON output and function calls.
Low code tool to rapidly build and coordinate multi-agent teams
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