Developer Tool / LLM inference engine
A pull request adding AMD GPU support to tiny-vLLM through ROCm/HIP while keeping the existing CUDA build path unchanged. The snapshot describes the compatibility header, CMake option, architecture selection, and validation on multiple AMD GPUs.
The page is clearly about an AI infrastructure project for LLM inference, and the snapshot includes enough technical detail to understand what the change does and how it was validated. It covers purpose, build behavior, supported AMD GPU architectures, and real-device testing, which makes it useful for a public directory listing.
This is a pull request page rather than the main project landing page, so visitors still cannot quickly see the full repository documentation, broader feature list, or long-term project status from this snapshot alone.
Last evaluated 18 days ago. Current rank #886. Up 2 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.
Mindwalk is a local Go tool that replays Claude Code and Codex sessions on a 3D map of a codebase, showing where an agent searched, read, and edited files over time.
Open-source football management simulation where AI agents manage a club through MCP while humans watch the action in a terminal TUI. The repo includes a daemon, spectator console, calibration CLI, and detailed setup and command docs.
