Developer Tool / LLM Framework
vernLLM is a TypeScript LLM call framework that keeps retries, fallback, rate limiting, circuit breaking, caching, and middleware inside your own process. It supports OpenAI-compatible providers plus Anthropic, Gemini, Bedrock, and others via adapters.
The page clearly describes a real AI developer tool with a specific job: managing LLM calls in-process with resilience and control. The snapshot includes concrete usage code, supported providers, repository layout, and feature claims that are useful for a directory listing.
The snapshot does not show the full API reference, installation steps, release status, or enough detail to judge maintenance and production maturity beyond the README overview.
Last evaluated 5 days ago. Current rank #1265. Down 2 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.
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.
Self-hosted observability and control plane for production and coding AI agents, with live timelines, fleet-wide feeds, token budgets, MCP allow/block rules, and support for Claude Code plus a Python sensor.
