The Library for LLM-based multi-agent applications
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Updated
Oct 4, 2024 - Python
The Library for LLM-based multi-agent applications
The Library for LLM-based web-agent applications
AI agent for creating personalized digests of research papers
react UI + infrastructure for AI Copilots, in-app AI agents, AI chatbots, and AI-powered Textareas 🪁
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.
Intelligent Agents for Everyone
Intelligent Agents for Everyone
Windows Agent Arena (WAA) 🪟 is a scalable OS platform for testing and benchmarking of multi-modal AI agents.
Produce usable Agent Coding Assistants that support full customization and do exactly what you need
This repo provides guidance on setting up a bedrock agent to webscrape and internet search via action groups
Secure open source cloud runtime for AI apps & AI agents
Easiest and laziest way for building multi-agent LLMs applications.
【grps接入trtllm】通过接入TensorRT-LLM以及Tokenizers.cpp实现纯c++版本高性能LLM服务,兼容OpenAI接口协议,支持chat和function call模式,支持ai agent。
AskTube - An AI-powered YouTube video summarizer and QA assistant powered by Retrieval Augmented Generation (RAG) 🤖. Run it entirely on your local machine with Ollama, or cloud-based models like Claude, OpenAI, Gemini, Mistral, and more.
IT Support Slack Bot that self-learns and have access to knowledge base, with search and browsing tools.
A smart, conversational interface for automotive part queries. Leverages Amazon Bedrock and OpenSearch to provide accurate part information, compatibility checks, and detailed responses. Streamlines the process of finding and verifying car parts for owners and mechanics.
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