Developer Tools / AI / ML Infrastructure
An interactive guide for choosing local AI hardware and matching open-weights LLMs to specific builds. It offers budget-based build recommendations, a hardware picker, model-to-hardware compatibility, and a state-of-the-local-AI snapshot.
The page is clearly an AI-focused product with a concrete utility: helping users choose local LLM hardware and see which open-weights models fit specific builds. The crawl shows multiple useful entry points, comparison views, a hardware picker, model compatibility coverage, and a regularly refreshed news/snapshot layer, which is enough evidence for a public listing.
The crawl does not show the actual benchmark table, supported hardware list details, or the depth of the 53-model compatibility data, so visitors cannot judge the underlying methodology or coverage from the snapshot alone.
Last evaluated 54 days ago. Current rank #153. 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.
