The #agent-runtime leaderboard on RepoRanker surfaces open-source repos tagged agent-runtime on GitHub, with listings that remain discoverable after launch day. Top puts placements first by total, then other repos by GitHub momentum. Search matches are ordered by relevance first. Funding sources are shown on each placement.
Browse to find agent-runtime projects worth contributing to, or list your own agent-runtime repo for free. Search these repos, or choose New to sort by submission date and filter by time.
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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
A workflow orchestration platform for multi-agent collaboration.
Self-hosted server that enforces hard limits on AI agent spend, risk, and tool actions before execution. Reference implementation of the Cycles Protocol
Drop-in @Cycles annotation that enforces budget and action limits on Spring Boot AI agents and LLM-calling services.
Tokio-native Rust client for the Cycles protocol — runtime authority over autonomous AI agents. Cycles enforces hard limits on spend, actions, pre-execution.
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.
Runtime budget, action, and audit authority for the OpenAI Agents SDK — enforce LLM cost limits, tool call caps, action permissions, and audit trail.
Python SDK for AI agent budget governance — enforce cost limits, tool permissions, and multi-tenant policies before LLM calls or agent actions execute.
Free listing, live immediately, and it stays discoverable long after launch day. Paid placement is optional and starts at $3.