Developer Tools / AI Agent Infrastructure
A proof-of-concept governance harness for agentic coding loops, using machine-level policy enforcement, validation hooks, and a deterministic control point to keep agent outputs within approved rules.
The page clearly describes an AI-adjacent developer tool with a concrete purpose: governing agentic coding loops such as Claude Code and GitHub Copilot. The README gives enough detail to understand the architecture, policy model, enforcement flow, and intended use as a machine-level validation layer, which is suitable for a public listing.
The snapshot does not show the full installation and usage story, the repository’s maturity beyond proof-of-concept, or working examples demonstrating the harness in action. It also leaves open which agent tools are supported beyond the named examples and what a new user would need to run it successfully.
Last evaluated 51 days ago. Current rank #1637. Up 2 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.
