Research AI Agents
Accelerate innovation with AI Research agents that perform literature reviews, data mining, and trend analysis for academic and market studies. These tools harness semantic search, predictive modeling, and automated citation management to streamline scholarly research, scientific discovery, and comprehensive market intelligence.
Qwen Agent
It is a framework and suite of applications designed for developing and deploying large language model (LLM) applications based on Qwen (version 2.0 or higher).
Linkup
It is a tool designed to provide AI systems, particularly large language models (LLMs) like Claude, with direct access to web content without requiring coding.
WordWriter
It is an AI-powered platform designed to assist marketers and professionals in creating high-quality content, conducting research, and streamlining workflows.
louie
It is a generative AI platform designed to assist organizations in analyzing, automating, and evolving their data workflows using advanced AI tools and APIs.
AnswerGrid
It is a platform called AnswerGrid Workspace designed to help consulting and professional services firms enhance their workflows using generative AI tools.
AI Hedge Fund
It is a proof-of-concept project for an AI-powered hedge fund designed to explore the use of artificial intelligence in making simulated trading decisions.
GPTEngineer
It is a terminal-based platform designed for experimenting with AI-driven software engineering, specifically focusing on code generation and improvement.
AGiXT
It is a dynamic Artificial Intelligence Automation Platform designed to manage AI instruction and execute tasks efficiently across multiple AI providers.
Cognosys
It is an AI-powered platform called Cognosys that enables users to delegate tasks to AI agents, allowing them to focus on higher-priority activities.
Cykel
It is a platform offering AI-powered digital workers designed to automate and streamline business processes such as recruitment, sales, and research.
LlamaGym
It is a framework designed to simplify the process of fine-tuning large language model (LLM)-based agents using online reinforcement learning (RL).