It is a GitHub user profile page for "eumemic," which provides tools and features for managing interactions, repositories, and user behavior on the platform.
It is a GitHub user profile page for “eumemic,” which provides tools and features for managing interactions, repositories, and user behavior on the platform. The page allows users to block or report “eumemic” to prevent unwanted interactions or notifications. Blocking requires being logged in, and users can contact GitHub support for further assistance regarding abusive behavior. The profile showcases “eumemic’s” repositories, including an LLM-powered autonomous agent platform, a curated list of ChatGPT resources, an LLM-powered Signal assistant, and a Radiant Blockchain Node (RXD) implementation. The repositories are written in TypeScript, JavaScript, C++, and MDX, with metrics like stars, forks, and contributions displayed. The page also includes navigation options, saved searches, and achievements, along with a footer for additional actions and links.
"It is a fast and lightweight framework designed for creating decentralized agents with ease. The uAgents library, developed by Fetch.ai, enables the creation of autonomous AI agents in Python using simple and expressive decorators.
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).
It is a platform that allows users to create, customize, and deploy AI agents for various business and personal workflows without requiring any coding knowledge.
It is a TypeScript/React library designed for building AI-powered chat interfaces, enabling developers to integrate conversational AI into their applications seamlessly.
It is an advanced AI system called the SuperAgent, developed by Ninja, that enhances productivity by generating superior AI answers through a combination of multiple advanced models.
It is an autonomous system powered by large language models (LLMs) that, given high-level instructions, can plan, use tools, carry out steps of processing, and take actions to achieve specific goals.
It is an AI super assistant that provides access to state-of-the-art (SOTA) large language models (LLMs) and enables users to build, automate, and optimize AI-driven solutions for a wide range of applications.
It is a small library designed to build agents controlled by large language models (LLMs), inspired by LangChain, with the goal of simplifying and understanding the core functionality of such agents in minimal lines of code.
It is a tool designed to help AI agents learn and adapt from their interactions over time by extracting important information from conversations, refining their behavior through prompt optimization, and maintaining long-term memory.
It is a partnership between Fetch.ai, SingularityNET, and Ocean Protocol, forming the Artificial Superintelligence (ASI) Alliance, aimed at advancing decentralized Artificial General Intelligence (AGI) and Artificial Superintelligence (ASI).
It is an intelligent assistant designed to serve the entire software development lifecycle, powered by a Multi-Agent Framework and integrated with DevOps Toolkits, Code & Documentation Repository Retrieval Augmented Generation (RAG), and other tools.
It is a personal AI assistant/agent designed to operate directly in your terminal, equipped with tools to perform a wide range of tasks such as using the terminal, running code, editing files, browsing the web, utilizing vision capabilities, and more.
It is an open-source framework designed to provide AI Agents with reliable memory capabilities for decision-making, personalized goal setting, and execution in AI applications.
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.
It is an AI-powered platform designed to enhance workplace productivity by automating tasks, providing instant access to information, and enabling the creation of customizable AI agents.
It is a Python-based system called BabyCommandAGI, designed to explore the interaction between Command Line Interface (CLI) and Large Language Models (LLMs), which are older computer interaction methods compared to Graphical User Interfaces (GUI).
