Show HN: OnBuzz – an open-source workspace for AI agent teams (github.com)

OnBuzz Community has launched as an open-source platform for orchestrating multiple autonomous AI agents, allowing users to run a fleet of agents directly on their machines without reliance on cloud servers. Each agent operates within its own workspace and can communicate with other agents, enhancing collaborative problem-solving. Unlike traditional single-chat AI assistants, OnBuzz emphasizes a local-first approach, meaning all data remains on the user's machine, offering a privacy-centric alternative to cloud-based tools. Developed from Loxia's proprietary Autopilot engine and released under the Apache-2.0 license, OnBuzz supports multiple AI model providers, including OpenAI and Anthropic, all while enabling users to bring their own API keys. With built-in tools for coding, document processing, and task management, it is designed for a variety of applications, from software development to personal knowledge management. Key features include a web interface and terminal UI for seamless operation, along with a robust training program to guide new users in setting up and utilizing their agent ensembles effectively. This initiative addresses growing concerns over data privacy and centralized AI services, positioning itself as a significant resource for developers and researchers in the AI/ML community.