Adorable is a low-code framework that empowers developers and businesses to build autonomous AI agents capable of performing web browsing, data extraction, API calls, and scheduled workflows. Users define objectives, triggers, and actions via a web dashboard or SDK, then test and deploy agents to the cloud or on-premise. Adorable manages authentication, error retries, and logging, while offering templates for common use cases like web scraping, email alerts, and social media monitoring. Its dashboard provides real-time insights and scalability controls, reducing development time and operational overhead for routine automation tasks.

EasyAgent provides a comprehensive framework for constructing autonomous AI agents in Python. It offers pluggable LLM backends such as OpenAI, Azure, and local models, customizable planning and reasoning modules, API tool integration, and persistent memory storage. Developers can define agent behaviors through simple YAML or code-based configurations, leverage built-in function calling for external data access, and orchestrate multiple agents for complex workflows. EasyAgent also includes features like logging, monitoring, error handling, and extension points for tailored implementations. Its modular architecture accelerates prototyping and deployment of specialized agents in domains like customer support, data analysis, automation, and research.

Koxy is a cutting-edge AI-powered serverless low-code platform that empowers users to build, deploy, and scale backend tasks within minutes without requiring any coding expertise. The platform features pre-built nodes, custom scripting capabilities in TypeScript and Python, and the ability to generate unique nodes via AI from voice or text instructions. With Koxy, users can configure projects to run on custom containers with dedicated resources, ensuring optimal performance and scalability. Additional features include real-time database updates, built-in databases, unlimited cloud storage, and auto-generated documentation for APIs, nodes, and workflows.