The #cost-control leaderboard on RepoRanker surfaces open-source repos tagged cost-control on GitHub, ranked by 800+ character peer reviews from GitHub-verified developers — not star counts. Rankings update as reviews accumulate, so a well-maintained cost-control project earns higher placement over time regardless of when it launched.
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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.
MCP server that gives any MCP-compatible AI agent (Claude Code, Cursor, Windsurf, custom agents) runtime budget, action, and audit authority.
TypeScript/Node.js SDK for AI agent budget governance — enforce cost limits, tool permissions, and multi-tenant policies before execution.
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