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Show HN: Pacific Slate – a self-hosted, model-agnostic multi-agent AI assistant

Pacific Slate is a self-hosted, model-agnostic multi-agent AI assistant that gives users control over their data and AI workflows. It supports multiple AI models and enables collaborative agents to handle complex tasks without relying on external cloud services.

Background

Pacific Slate is an open-source, self-hosted AI assistant that coordinates multiple AI models ("agents") to work together on complex tasks, rather than relying on a single provider like OpenAI or Anthropic. It's "model-agnostic," meaning users can plug in different AI models (local or cloud-based) and let them collaborate. Self-hosting means the user runs the software on their own server, keeping data private and avoiding per-token fees from third-party APIs. This fits a growing trend of developers and privacy-conscious users building their own AI toolchains instead of using all-in-one services like ChatGPT. The project was posted as a "Show HN" on Hacker News, a common way for developers to launch new tools and get feedback from the tech community.

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