Developer Tool / AI SDK / In-browser LLM inference
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.
The snapshot clearly shows a real AI developer tool with a specific purpose: browser-side LLM inference. It explains how it works, what it supports, and how to install and use it, with examples and model coverage visible. That is enough evidence for a strong public directory listing.
The crawl snapshot does not show setup details beyond package install commands, and the visible text only hints at some advanced features like function calling and custom model flow without showing full implementation limits or configuration steps.
Last evaluated 45 days ago. Current rank #4. Up 93 spots in the rankings.
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.
Browser extension that scans pastes for credentials and PII before they reach LLM chat sites, with local on-device inference and no network calls.
Open-source runtime for multi-agent AI systems with job scheduling, DAG orchestration, shared memory, tool execution, and real-time observability.
