laya.tools is a project directory site featuring 1975+ open-source projects built on Laya. According to the page description, Laya is a System 1 decision model that can convert any text into typed decisions within milliseconds and run on the user's own device.
Purpose: Laya is positioned as a text decision model. The page example shows that after inputting customer feedback text, the model outputs typed decision answers such as "which team should handle this ticket," "how urgent is it," and "whether the customer threatens to cancel or leave," completing this in a single forward pass.
Main capabilities and project types: The page lists multiple types of projects based on Laya, including: running locally on Apple Silicon with MLX; running with Core ML and Neural Engine; running in Node.js and TypeScript through ONNX Runtime; pure C running of a large open-source model; multilingual typed decision models with routing, serving, and integration options; connecting AI agents to decision models through an MCP server; models fine-tuned for agent trajectories, customer service, invoices, and security incidents; Gradio demos; browser automation agents driven by local Laya decisions; providing a judgment kernel for coding agents; automatically filling forms on Apple devices; and local websites integrating model demos, games, benchmarks, and agent skills, etc.
Usage: The page provides a link to run the project itself ("Run it yourself →") and lists multiple GitHub and guide links, but the given material does not provide specific installation commands or steps. The running approaches mentioned on the page include serving through a compatible API via Unsloth Desktop, running in MLX, Core ML, ONNX Runtime, pure C, and other environments, and integrating through an MCP server.
Applicable scenarios: From the project list, it can be used for customer service ticket triage, urgency judgment, customer churn threat judgment, agent task routing and tool failure recovery, local judgment for coding assistants, browser automation, form filling, multilingual text decision-making, content moderation, and RAG filtering, etc.
Limitations and information not yet provided: The material does not provide Laya's specific model parameters, license terms, fees or pricing, installation commands, system requirements, accuracy metrics, etc.; these are not yet provided. Some performance descriptions come from social media posts paraphrased on the page. The original text mentions "faster than Jev by 50x," "11x," "3x," "about 200x," and other comparisons, which are statements by others and have not been independently verified.
