Show HN: Multi-agent orchestration layer for experimentation
The article introduces 'chassis', a minimal Docker orchestration layer for managing long-running agent fleets. It aims to simplify the agent/task hierarchy for better extensibility while serving as a foundation for multi-agent systems development. The system allows multiple chassis to run concurrently on a single host, enhancing its utility in research and experimentation.
- ▪Chassis is designed to manage fleets of agents using a minimal Docker setup.
- ▪It features a two-user system with distinct roles for root and agent, enhancing security and functionality.
- ▪The framework supports multi-tenant operations, allowing several chassis to run side by side on one host.
Opening excerpt (first ~120 words) tap to expand
chassis 🏎️ A minimal Docker 'chassis' for managing long-running agent fleets. chassis is a bare-bones agent orchestration layer designed around a two user agent-native file system running in docker. The goal is to streamline the agent/task hierarchy into its simplest form for maximum extensibility and minimal bloat. Although it could be used as one, this repository is not intended to be an OpenClaw replacement. The purpose of this repository is to facilitate an open-ended branch of multi-agent systems development and research, and to serve as the foundation for several other projects.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.