Developer Tool / AI Workflow
Subarr is an open-source coordination layer for the *arr subtitle stack. It adds subtitle coverage tracking, audio-language verification, provider success tracking, queue management, Whisper tuning, and post-transcription quality checks for Bazarr/Subgen workflows.
The page clearly describes a real AI-adjacent product with a specific job: coordinating subtitle workflows for the *arr ecosystem. It shows concrete features, install instructions, Docker usage, and multiple user-facing capabilities such as audio-language detection, queue control, Whisper tuning, and aftercare checks, which is enough for a useful public listing.
The crawl does not show the full README or deeper docs, so it is still hard to tell how much of the workflow is available beyond the highlighted features, what external services are required, and how setup works outside the quick Docker path.
Last evaluated 11 days ago. Current rank #118. Down 4 spots in the rankings.
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.
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.
