Show HN: Multi-agent LLM editor with local inference via WebSockets (x-agent.sascha10k.biz)

A new multi-agent language model (LLM) editor has been introduced, showcasing the ability to manage and coordinate multiple AI agents via a visual interface. Users can create and customize agent networks by simply dragging and connecting agents on a canvas, which allows for asynchronous operations such as firing notifications and waiting for user confirmations. The tool includes a built-in generator that helps users design their agent's purpose, generating prompts ready for integration with their chosen LLM. This ensures a structured approach to developing AI systems, as users can view the entire interaction flow and how decisions are processed in real time. This innovation is significant for the AI/ML community as it enhances the capability to build complex AI applications while maintaining compliance with data privacy regulations like GDPR. By enabling local inference and keeping prompts within an organization's infrastructure, the editor promotes data security and privacy. Additionally, the platform supports collaboration with roles and shared chat sessions, fostering a more integrated environment for developers. The introduction of customizable connectors, such as the Ollama integration, further diversifies the possibilities for organizations, making this a robust tool for accelerating AI development and deployment.