Developer Tools / AI Safety / Governance
Attestor is a TypeScript control plane for high-risk AI-driven operations. It sits between an AI-generated request and the real system action, applying policy, approval, scope, freshness, replay, and evidence checks before returning admit, narrow, review, or block.
The page clearly describes an AI-adjacent developer tool with a concrete purpose: governing risky AI-driven actions before execution. The README gives enough evidence of how it works, what it checks, the decision outputs, and the intended deployment pattern, making it suitable for a public listing.
The snapshot does not show installation steps, API details, sample code, or enough implementation docs to judge integration effort. It also doesn’t show release notes or maintainer activity beyond repository metadata.
Last evaluated 83 days ago. Current rank #1819. Holding steady 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.
