#AI Agents

Explore a versatile platform designed for the creation, deployment, and management of AI agents to streamline complex workflows. Compatible with both self-hosted environments and a cloud-based beta system, this platform allows users to design bespoke agents or select from numerous pre-configured options. It features a user-friendly interface for agent interaction, comprehensive workflow management tools, and a reliable server infrastructure, all ensuring scalable AI automation. Discover unique features such as an agent builder, a marketplace for pre-configured agents, and use cases like video content production and social media management handled by AI-driven agents.

Explore a robust toolkit tailored for AI agents, featuring over 100 tools and seamless integrations to enhance accuracy and reliability. This toolkit supports various agent frameworks like OpenAI and Groq, offering diverse authorization protocols to simplify development. It ensures up to 40% improved accuracy and is designed to be easily embedded and extended to suit various application needs.

Discover the capabilities of AI via Python with interactive projects and tutorials centered on ChatGPT/GPT-4 and LangChain. Develop applicable solutions, such as training models like Llama 2 and deploying AI systems through LangChain. The guide provides detailed walkthroughs for importing data, leveraging AI models, building smart chatbots, and handling complex operations with AI agents. Improve expertise with instructional videos and articles explaining practical implementations and benefits of these technologies, and begin crafting AI-driven solutions suited for various tasks.

Discover an extensive collection of AI agent resources, featuring articles, videos, and innovative projects utilizing LLMs. This list includes insightful papers and advanced frameworks for building autonomous agents. Keep informed on the evolving landscape and find key initiatives like Auto-GPT and MetaGPT, along with tools from LangChain and AutoChain. Explore AI-driven solutions applicable to various platforms and sectors.

The application transforms documents into interactive contexts for LLMs, supports custom AI agents, multi-user management, and integrates with various LLMs and Vector Databases. It enables the creation of private ChatGPT-like solutions and offers extensive configurability to enhance document interaction.

AgentOps offers a platform designed for AI agent development, improving observability and efficiency at all stages. Key features include replay analytics, LLM cost management, and compliance security, enabling comprehensive performance monitoring and evaluation. Integration with notable frameworks such as CrewAI, AutoGen, and LangChain ensures smooth implementation. Its advanced features like session replays and extensive benchmarking make it vital for optimizing AI operations.

This survey presents an overview of large language model (LLM) based agents in AI, examining their development and role in pursuing artificial general intelligence. It outlines a framework including brain, perception, and action components, with applications ranging from single to multi-agent settings, and human-agent interactions. The review also covers social behaviors and dynamics within LLM-based agent societies, shedding light on current advancements and future challenges without exaggerated claims. This objective resource is ideal for those exploring the developments and future direction of LLM-based agents.

JS Agent is a flexible framework enabling AI agent development with JavaScript and TypeScript. While not under active development now, it remains equipped with vital tools for rapid AI prototyping. The library's capabilities include command execution within Docker, web data extraction, and employing multiple LLM models. Explore applications like Wikipedia Q&A, automation of development tasks, and PDF to Twitter thread conversion. Access more through available examples and comprehensive documentation.

Explore the new v4.0 of our free, open-source AIGC course, featuring a redesigned UI and multilingual support. Delve into AI technologies including prompt engineering, ChatGPT, and Stable Diffusion. The platform also introduces interactive tools like a comment section, daily reviews, and user submissions for enhanced learning. Discover topics such as AI video production, large model fine-tuning, and AI agents, all while engaging in a community that promotes knowledge sharing and stays ahead in AI advancements.

Explore a detailed compilation of AI agents including both open-source and closed-source solutions, suitable for developers and enterprises pursuing novel AI projects. This guide aptly organizes AI agents by autonomy, problem-solving abilities, and code integration, providing insights into resources like Code Interpreter and Agent4Rec. Stay updated on AI advancements with a web interface that allows filtering by application. Benefit from a community-driven ecosystem and unlock AI technology potential in various sectors.

Explore a curated collection of advanced LLM applications that utilize AI agents and leading models from OpenAI, Anthropic, and Google, along with open-source alternatives like LLaMA. This repository features a range of tools from local applications to AI agents for investment, finance, and travel. These apps demonstrate practical uses of LLMs, providing opportunities to learn from documented projects and engage in interactions with various data sources. Ideal for research, content creation, and data exploration, these tools support users in maximizing the potential of AI technology.

Adala provides a framework for autonomous data labeling using intelligent agents that learn and adapt to various tasks. It supports customizable outputs for reliable data management and integrates with multiple runtimes. Suitable for AI engineers, data scientists, and educators, with Python compatibility for seamless applications in AI projects.

Discover a Python framework developed by CMU and UW-Madison researchers, designed for LLM applications using multi-agent collaboration. This extensible system allows problem-solving with multi-agent architecture, omitting the need for other LLM frameworks, thereby enhancing flexibility and adaptability in real-world production environments.

This project streamlines AI operations by offering a versatile tool ecosystem tailored for LLM agents. Leveraging the capabilities of Upsonic, it enables the creation of custom environments and automates document generation. Features include executing code, utilizing search engines, and managing calendars, all aiding in the efficient task performance of AI. Compatible with frameworks such as crewAI, LangChain, and AutoGen, it fosters integration across multiple technological platforms, providing an open-source tool resource beneficial for developers interested in sophisticated AI applications.

AgentGym provides a comprehensive framework for the development and assessment of large language model-based agents across diverse environments and tasks. Featuring tools such as AgentTraj-L and AgentEval, the platform allows for real-time, scalable exploration of agent capabilities in areas like web navigation and gaming. It is user-friendly and facilitates the integration and autonomous evolution of agents, achieving competitive results with current leading models.

Explore an extensive collection of AI chat agents integrated with Lobe Chat to facilitate varied user interactions. This repository provides an 'index.json' for accessing a wide array of agents ranging from workplace analysis to machine vision specialties. Visitors can discover tools like Algorithm Answer Mentor and Software Architecture Expert, with regular updates to maintain a versatile inventory of agents. Inclusion of personal AI agents is encouraged to enrich this growing community.