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 9 days ago. Current rank #46. 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.
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.
An OWASP incubator project that protects AI agent memory from prompt injection, secret leakage, and tampering. It includes a Python library, policy-based controls, benchmarks, and integrations for agent frameworks like LangChain and AutoGen.
CLI for catching AI-generated code smells and regressions in code. It scans changes with 40+ rules across 7 languages, offers fixes, CI gating, hooks, and MCP tools.
