ReliveAI is a cutting-edge no-code platform designed to help users build intelligent, operational AI agents with ease. Whether you need to create conversational agents, automate workflows, or develop AI-powered business solutions, ReliveAI provides a user-friendly interface and robust tools to accomplish all of these tasks. The platform supports building workflows and agentic workflows that can remember and adapt to your business needs, ensuring seamless operation across various industries.

Run.ai is a robust AI platform that automates GPU resource management for AI model training. By leveraging intelligent orchestration, it ensures efficient utilization of resources, enabling data scientists and machine learning engineers to focus on experimentation and model improvement. The platform supports collaborative workflows, dynamic workload distribution, and real-time resource monitoring, facilitating faster iteration and deployment of AI models in production environments.

UniGPT is an innovative AI platform designed to unify an array of advanced AI tools into a single platform. It incorporates popular models, including ChatGPT, Gemini, and Claude, ensuring users have access to top-tier AI capabilities. This platform allows users to automate tasks, analyze data, generate content, and much more, all while providing a customizable and user-friendly interface. With features like multimodal chats and integration options, UniGPT can cater to diverse business needs and enhance operational efficiency.

AgentsFlow abstracts each AI agent as a node in a directed graph, enabling developers to visually and programmatically design complex pipelines. Each node can represent an LLM call, data preprocessing task, or decision logic, and can be connected to trigger subsequent actions based on outputs or conditions. The framework supports branching, loops, and parallel execution, with built-in error handling, retries, and timeout controls. AgentsFlow integrates with major LLM providers, custom models, and external APIs. Its monitoring dashboard offers real-time logs, metrics, and flow visualization, simplifying debugging and optimization. With a plugin system and REST API, AgentsFlow can be extended and integrated into CI/CD pipelines, cloud services, or custom applications, making it ideal for scalable, production-grade AI workflows.

OCO-Agent leverages OpenAI-compatible language models to transform plain-language prompts into actionable workflows. It provides a flexible plugin system for integrating external APIs, shell commands, and data-processing routines. The framework maintains conversation history and context in memory, enabling long-running, multi-step tasks. With a CLI interface and Docker support, OCO-Agent accelerates prototyping and deployment of intelligent assistants for operations, analytics, and developer productivity.

Wizard Language is a declarative domain-specific language built on TypeScript for authoring AI assistants as wizards. Developers define intent-driven steps, prompts, tool invocations, memory stores, and branching logic in a concise DSL. Under the hood, Wizard Language compiles these definitions into orchestrated LLM calls, managing context, asynchronous flows, and error handling. It accelerates prototyping of chatbots, data retrieval assistants, and automated workflows by abstracting prompt engineering and state management into reusable components.

AutoML-Agent provides a versatile Python-based framework that orchestrates every stage of the machine learning lifecycle through an intelligent agent interface. Starting with automated data ingestion, it performs exploratory analysis, missing value handling, and feature engineering using configurable pipelines. Next, it conducts model architecture search and hyperparameter optimization powered by large language models to suggest optimal configurations. The agent then runs experiments in parallel, tracking metrics and visualizations to compare performance. Once the best model is identified, AutoML-Agent streamlines deployment by generating Docker containers or cloud-native artifacts compatible with common MLOps platforms. Users can further customize workflows via plugin modules and monitor model drift over time, ensuring robust, efficient, and reproducible AI solutions in production environments.

Hashiru AgentX is a unified AI workflow orchestrator hosted on Hugging Face Spaces. It allows users to input natural language instructions and choose from prebuilt agents for code execution, web search, and document analysis. Behind the scenes, it dynamically composes tool chains, runs Python snippets in a secure sandbox, queries online resources, and extracts insights from uploaded files. Results are returned in a conversational format, enabling iterative refinement and easy download of outputs.