Developer Tools / AI Protocols & Agent Infrastructure
An open protocol for giving AI agents structured, real-time perception from external sensors and data sources. The repo includes architecture notes, quick-start install flows, and a sensor catalog concept.
The page clearly describes a real AI-adjacent developer project: an open protocol for how agents perceive the world, with concrete tooling around sensors, runtimes, and installation flows. The README shows purpose, architecture, supported runtimes, a quick start, and a community/extensible sensor model, which is enough for a useful public listing.
The snapshot does not show a full API reference, package-level docs, or example end-to-end sensor output, so visitors still cannot tell how the protocol schema works in practice or how mature the implementation is.
Last evaluated 73 days ago. Current rank #362. Down 316 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.
