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SLOP State Layer for Observable Programs

A protocol for AI to observe and interact with app state

SLOP provides a robust interface for programmatic agents to interact with applications. It addresses the limitations of traditional methods by exposing a semantic state tree that agents can subscribe to for incremental updates. Key features include: • Semantic state exposure • Contextual, node-resident actions • Incremental state updates • Cross-platform SDKs and adapters This system allows agents to operate programs directly, understanding the underlying meaning and available actions without relying on visual parsing or generic tool calls. Instead of wasting resources on optical character recognition or breaking due to layout changes, agents receive a curated, meaningful view of the application's current state. Actions are dynamically presented based on the context of the state they affect, ensuring validity and relevance. SLOP ships with a comprehensive ecosystem, including a 13-document specification, 14 SDK packages for popular languages like TypeScript, Python, Rust, and Go, and adapters for frameworks such as React, Vue, Svelte, Solid, and Angular. It also offers a Chrome extension, a desktop application, and a command-line interface, all under an MIT license. This state-first approach ensures agents are always aligned with the program's live model. It is ideal for developers building agent-driven systems, programmatic interfaces, or robust integrations where agents need deep, contextual understanding and control over applications, moving beyond the limitations of human-centric UIs.
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