Agents
2,269Autonomous AI agents that perform tasks independently
Build your resume one and only once. An experimental project to use chatGPT multi-agent system to tailor content in your resume for any jobs.
The MathGPT is a web application built with Streamlit that allows users to input mathematical problems and receive solutions. The app supports both text and LaTeX input, making it versatile for various mathematical expressions.
In this solution accelerator, we demonstrate how generative AI, retrieval augmented generation (RAG) and multi stage reasoning can be used to better navigate through the complexities of regulatory filings, bringing more transparency for companies to disclose their societal and environmental impacts.
Embodied-OS：面向具身智能的分层运行时——Driver·Capability·Skill·Brain 全栈参考实现
This sample application demonstrates the practical implementation and usage patterns of the LLM Agents library.
It automatically describes images in PDF files and generates questions from these descriptions. With its advanced RAG structure, it directs these questions directly to PDF text content, providing comprehensive information extraction and analysis.
This repository contains sample code demonstrating how to implement a verified semantic cache using Amazon Bedrock Knowledge Bases to prevent hallucinations in Large Language Model (LLM) responses while improving latency and reducing costs.
HumanStudy-Bench: Towards AI Agent Design for Participant Simulation
Implementation of Anthropic agentic workflow's using Google Gemini 2.0 Flash Experimental
Fast & less costly AI decision making and intelligent processing of multi-modal data.
This is an official repository for "Exploring Multi-Modal Data with Tool-Augmented LLM Agents for Precise Causal Discovery".
Pocket Flow: A minimalist LLM framework. Let Agents build Agents!
ByeDB.AI is an innovative AI-powered platform transforming natural language into data insights, all within a familiar chat interface. It enables non-technical users to effortlessly query databases, visualize results with charts, and export data, eliminating the need for SQL knowledge.
This Agentic system is designed to handle complex data analysis tasks by breaking them down into smaller subtasks and delegating them to specialized agents. The system uses a multi-agent architecture to improve performance and scalability.
A declarative meta-language for orchestrating multi-agent workflows. Readable by humans. Executable by LLMs. Portable across models.
🐙 Interfaces (aka `into`) is the quickest way to make Large Language Models do things. Get started in 3 lines of code!
The 3rd Eye is a modular OSINT (Open Source Intelligence) framework built on an agent-based, graph-driven architecture. It automates public information discovery, identity correlation, and exposure analysis across multiple platforms, and generates structured intelligence reports. The system follows a LangGraph agent design.