Developer Tools / AI Evaluation
ObserverBench is an interactive benchmark and guided demo for testing whether internal AI monitoring methods help make safer decisions, not just better predictions. It includes real-model results, benchmark tasks, and a no-login walkthrough showing how warning scores affect review and harm that slips through.
The page clearly presents a specific AI-related product: a benchmark/workbench for evaluating internal safety monitors and observers. The crawl shows an interactive demo, real-model coverage, benchmark tasks, and enough explanation of the workflow and use case to support a useful public listing.
The snapshot does not show pricing, licensing, maintenance status, or how a visitor can run the benchmark end-to-end beyond the guided demo. It also does not show concrete API/docs details for integrating ObserverBench into another project.
Last evaluated 16 hours ago. Current rank #807. Down 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.
