The #llmops leaderboard on RepoRanker surfaces open-source repos tagged llmops on GitHub, ranked by 800+ character peer reviews from GitHub-verified developers — not star counts. Rankings update as reviews accumulate, so a well-maintained llmops project earns higher placement over time regardless of when it launched.
Browse to find llmops projects worth contributing to, or submit your own llmops repo for free peer review. Filter by time period, sort by stars or momentum, or search within this topic.
An end-to-end AI agent platform for building, orchestrating, publishing, and operating AI applications.
OpenClaw plugin for AI agent runtime control — enforce LLM cost limits, tool call caps, action permissions, and audit trails on OpenClaw agents before execution
Self-hosted server that enforces hard limits on AI agent spend, risk, and tool actions before execution. Reference implementation of the Cycles Protocol
Tokio-native Rust client for the Cycles protocol — runtime authority over autonomous AI agents. Cycles enforces hard limits on spend, actions, pre-execution.
Drop-in @Cycles annotation that enforces budget and action limits on Spring Boot AI agents and LLM-calling services.
Python SDK for AI agent budget governance — enforce cost limits, tool permissions, and multi-tenant policies before LLM calls or agent actions execute.
Runtime budget, action, and audit authority for the OpenAI Agents SDK — enforce LLM cost limits, tool call caps, action permissions, and audit trail.
TypeScript/Node.js SDK for AI agent budget governance — enforce cost limits, tool permissions, and multi-tenant policies before execution.
MCP server that gives any MCP-compatible AI agent (Claude Code, Cursor, Windsurf, custom agents) runtime budget, action, and audit authority.
Free listing. 800+ character peer reviews from real developers. The leaderboard keeps your repo discoverable long after launch day.
