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 129 days ago. Current rank #675. Down 586 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.
Mercemur is a store automation platform with three interfaces: a REST API, an MCP server for AI agents, and a CLI for editing storefronts as files. The docs show authentication, scopes, rate limits, error handling, pagination, idempotency, and a large API surface for catalogue, orders, customers, pricing, and money.
A zero-dependency C++23 CLI and MCP server that gives coding agents a ranked map of a repository, including call context, blast radius, and tests to run.
Traccia is an AI agent observability and governance platform with OpenTelemetry-native tracing, runtime policy enforcement, prompt registry, evals, cost attribution, and compliance evidence export.
