Developer Tool / AI Evaluation / Data Format
ARF defines a JSON record format for AI evaluation runs with canonicalization and reproducible SHA-256 digests, so scores can be traced back to the underlying question, model, inputs, and judgment.
The page describes a concrete AI-adjacent developer format with visible structure: ten record types, reference links between records, offline validation, and a deterministic hashing rule. It also shows examples and explains the purpose of the format clearly enough for a public directory listing.
The page is a v0.1 spec and leaves some implementation details unresolved, including schemas and record shapes that may change. It also does not show a packaged library, API, or docs for integrating ARF into another system beyond the format description.
Last evaluated 70 days ago. Current rank #1429. Down 3 spots in the rankings.
A Rust Blu-ray disc analyzer that reimplements BDInfo for BDMV folders and ISO images, with CLI, desktop, and browser/WASM front ends.
WebLLM is a high-performance in-browser LLM inference engine that runs locally in the browser with WebGPU acceleration. It exposes an OpenAI-compatible API, supports streaming and JSON mode, and includes examples for building chat apps and browser extensions.
Open source inference engine for agents that self-tunes on the user’s hardware to run open models faster, with desktop app support and one-click connections to popular agents.
Molt is an open protocol for letting an AI agent make bounded purchases through disposable, single-use payment credentials. The repo includes a clear quickstart, MCP integration, a threat model, and a working test-mode demo.
