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 28 days ago. Current rank #148. Down 128 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.
