Developer Tool / AI Infrastructure
A DeepSeek paper about DSpark, a full-stack codebase for training and evaluating speculative decoding algorithms to speed up LLM inference.
The snapshot clearly identifies an AI-adjacent technical project from DeepSeek and states its purpose: a full-stack codebase for training and evaluating speculative decoding algorithms. Even though the page is the PDF file view rather than the paper contents, the visible metadata is enough to place it as a useful listing for AI builders working on LLM inference optimization.
The crawl snapshot does not show the paper’s abstract, results, implementation details, supported models, or links to code and benchmarks, so a visitor cannot tell how DSpark performs or how to use it from this page alone.
Last evaluated 19 days ago. Current rank #1045. Holding steady 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.
