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.

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.

Deerflow provides a visual interface where users can assemble AI workflows from modular components—input processors, LLM or model executors, conditional logic, and output handlers. Out of the box connectors allow you to pull data from databases, APIs, or document stores, then pass results through one or more AI models in sequence. Built-in tools handle logging, error recovery, and metric tracking. Once configured, workflows can be tested interactively and deployed as REST endpoints or event-driven triggers. A dashboard gives real-time insights, version history, alerts, and team collaboration features, making it simple to iterate, scale, and maintain AI agents in production.

Lumora is a powerful software solution that specializes in optimizing and managing prompts for artificial intelligence systems. Its intuitive interface allows users to create, edit, and enhance prompts, leading to increased accuracy and quality of AI responses. The platform not only aids individual users but also facilitates collaboration among teams, streamlining workflows and enhancing productivity in AI projects. By utilizing Lumora, organizations can maximize their AI outputs and ensure that their interactions with AI systems are productive and efficient.

Redactable is an automated redaction software that leverages AI-powered workflows to identify and remove sensitive data from documents, ensuring foolproof security. With features like OCR for scanned documents, collaboration tools, and automatic redaction suggestions, Redactable guarantees an efficient, accurate, and user-friendly experience. This platform is designed to comply with regulations like HIPAA, GDPR, and FOIA, making it ideal for various industries that handle sensitive data.

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.