Developer Tools / AI Safety
A safety-evaluation harness for AI agents operating physical equipment. It validates proposed robot intent against declared hardware and deployment limits, records machine-readable refusal reasons, and includes a sample corpus plus a runnable evaluation script.
The page clearly describes an AI-adjacent developer tool with a specific purpose: evaluating whether agent-generated intent is admissible on physical hardware. The snapshot shows concrete files, a README explaining what the harness measures, how it runs, and what it outputs, plus example intents and a committed report, which is enough evidence for a useful public listing.
The snapshot does not show the full code structure, install steps, dependencies, or whether the harness is actively maintained beyond the committed example files. It also leaves the exact shape of the input/output interfaces and supported hardware/runtime integrations somewhat abstract.
Last evaluated 13 days ago. Current rank #1694. Up 6 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.
