Transitions.dev: UI transitions for AI agents
UnUI is a tool that guides AI coding agents to produce more thoughtful and consistent user interfaces. It provides design rules and constraints that LLM-based agents can follow, reducing the need for manual design corrections. This solves the problem of AI-generated UIs that look generic or poorly structured.
UnUI is a tool that guides AI coding agents to produce more thoughtful and consistent user interfaces. It provides design rules and constraints that LLM-based agents can follow, reducing the need for manual design corrections. This solves the problem of AI-generated UIs that look generic or poorly structured.
Dayan Agent Skills is an open-source project that provides control layers for agent workflows, enabling developers to manage and orchestrate LLM-based agents more effectively. It solves the problem of complex agent coordination by offering reusable, modular skills.
Dayan Agent Skills is an open-source project that provides control layers for agent workflows, enabling developers to manage and orchestrate LLM-based agents more effectively. It solves the problem of complex agent coordination by offering reusable, modular skills.
Anti-Slop UI is a deterministic state machine that constrains LLM outputs to prevent hallucinations. It solves the problem of unreliable AI responses by enforcing a strict, predictable flow. Targeted at developers building LLM applications that require high reliability.
Anti-Slop UI is a deterministic state machine that constrains LLM outputs to prevent hallucinations. It solves the problem of unreliable AI responses by enforcing a strict, predictable flow. Targeted at developers building LLM applications that require high reliability.
WebMCP is a proposed standard that enables websites to expose structured interfaces for AI agents, allowing them to interact with web content more reliably. The project aims to bridge the gap between human-oriented web pages and machine-readable APIs.
WebMCP is a proposed standard that enables websites to expose structured interfaces for AI agents, allowing them to interact with web content more reliably. The project aims to bridge the gap between human-oriented web pages and machine-readable APIs.
Wmux is a workspace multiplexer designed for AI agents, allowing them to manage multiple workspaces efficiently. It uses LLMs to coordinate agent tasks across isolated environments, solving the problem of workspace management for AI-driven automation.
Wmux is a workspace multiplexer designed for AI agents, allowing them to manage multiple workspaces efficiently. It uses LLMs to coordinate agent tasks across isolated environments, solving the problem of workspace management for AI-driven automation.