FastAPI Agents provides a robust service layer for developing LLM-based agents using the FastAPI web framework. It allows you to define agent behaviors with LangChain chains, tools, and memory systems. Each agent can be exposed as a standard REST endpoint, supporting asynchronous requests, streaming responses, and customizable payloads. Integration with vector stores enables retrieval-augmented generation for knowledge-driven applications. The framework includes built-in logging, monitoring hooks, and Docker support for containerized deployment. You can easily extend agents with new tools, middleware, and authentication. FastAPI Agents accelerates the production readiness of AI solutions, ensuring security, scalability, and maintainability of agent-based applications in enterprise and research settings.

Bullship offers an easy-to-use, low-code platform to transform your Python applications into fully functional SaaS solutions. Utilizing Bootstrap for styling, Flask for backend integration, and Stripe for payments, Bullship ensures that your AI model or Python script can be launched as a SaaS in a secure and scalable manner. With a few steps, you can create, customize, and deploy your SaaS platform, significantly reducing development time and complexity.

The Azure AI Agents JavaScript SDK is a client framework and sample code repository that enables developers to build, customize, and orchestrate AI agents using Azure OpenAI and other cognitive services. It offers support for multi-turn chat, retrieval-augmented generation, function calling, and integration with external tools and APIs. Developers can manage agent workflows, handle memory, and extend capabilities via plugins. Sample patterns include knowledge base Q&A bots, autonomous task executors, and conversational assistants, making it easy to prototype and deploy intelligent solutions.