autogen-agent-server acts as a centralized orchestration platform for AI agents, enabling developers to expose agent capabilities through standard RESTful endpoints. Core functionalities include registering new agents with custom prompts and logic, managing multiple sessions with context tracking, retrieving conversation history, and coordinating multi-agent dialogues. It features asynchronous message processing, webhook callbacks, and built-in persistence for agent states and logs. The server integrates seamlessly with the AutoGen library to leverage LLMs, allows custom middleware for authentication, supports scaling via Docker and Kubernetes, and offers monitoring hooks for metrics. This framework accelerates building chatbots, digital assistants, and automated workflows by abstracting server infrastructure and communication patterns.

Clevis simplifies AI application development by allowing users to build, share, and sell AI-powered apps without needing any coding knowledge. The platform offers a wide range of pre-built processing steps and templates, making it easy to create complex applications with minimal effort. Clevis focuses on democratizing AI technology, enabling anyone from hobbyists to businesses to leverage the power of AI in their applications. Users can quickly integrate features like image generation, web scraping, and data extraction into their apps, facilitating rapid development and deployment.