Developer Tools / AI Infrastructure
Bootable Rust no_std kernel built as an inference substrate for LLMs, with tensor-native memory allocation, layer-boundary scheduling, and streaming-focused runtime primitives.
The page clearly describes a real AI-adjacent systems project with a specific purpose: a bootable Rust kernel designed for LLM inference. The README gives enough technical detail to support a useful listing, including the problem it targets, its architecture, current scope, and benchmark claims.
The snapshot does not show install or build instructions, licensing, release status, or enough code-level examples to tell how easy it is to run outside the author’s QEMU setup.
Last evaluated 15 days ago. Current rank #382. Down 3 spots in the rankings.
CodeGraph is a local code knowledge graph for AI coding agents like Claude Code, Cursor, Codex, OpenCode, and Hermes Agent. It aims to cut token use, tool calls, and runtime by letting agents query pre-indexed code structure instead of scanning files repeatedly.
Single-binary CLI that builds an AI agent knowledge base from git repos, Claude Code/Codex sessions, and saved links. It generates a portable markdown wiki, runs on cron, supports local Ollama mode, and exposes the result for agents via CLAUDE.md/AGENTS.md and MCP.
A lightweight React Markdown renderer with built-in LaTeX, syntax highlighting, streaming-safe rendering, and security-focused defaults.
Claude Code plugin that blocks dependency edits until a fresh, source-cited version check is recorded, helping prevent hallucinated or stale package versions across npm, pip, Poetry/uv, Cargo, and NuGet.
