Developer Tools / AI Agents / Agent Training
A GitHub release for Microsoft’s Agent Lightning Skill, which helps coding agents optimize other AI agents using benchmarks and iterative improvements across prompts, tools, workflows, models, and reasoning settings.
The page clearly describes an AI-focused developer tool for improving agents, not just a generic repository. The release text explains what it does, who it’s for, and how it can be installed for Claude Code, Codex, or GitHub Copilot. It also gives enough evidence to support a public listing as an AI agent training and benchmarking tool.
The release page is thin on hands-on detail: it doesn’t show examples of a benchmark, supported agent types, or what the optimization loop looks like in practice. The crawl also exposes GitHub rendering errors, so visitors can’t fully inspect assets, release notes structure, or related documentation from this snapshot.
Last evaluated 17 days ago. Current rank #1611. 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.
