Developer Tools / AI Infrastructure
Open-source Kubernetes-native runtime for LLM agents. CLRK runs agents in gVisor sandboxes and intercepts outbound traffic for observability, policy enforcement, credential injection, and routing control.
The page clearly describes an AI infrastructure product with a concrete use case: running untrusted LLM agents in Kubernetes with sandboxing and transparent egress interception. The README gives enough detail on how it works, what problems it solves, the main binaries, example agents, and the CRDs/APIs exposed, which is sufficient for a public listing.
The crawl snapshot doesn’t show installation steps, quickstart commands, or a usage walkthrough, so a visitor can’t tell how hard it is to deploy or try locally. It also doesn’t show release status, screenshots, or benchmark-style evidence of production maturity.
Last evaluated 65 days ago. Current rank #1190. Down 3 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.
