The #agentic-ai leaderboard on RepoRanker surfaces open-source repos tagged agentic-ai on GitHub, ranked by 800+ character peer reviews from GitHub-verified developers — not star counts. Rankings update as reviews accumulate, so a well-maintained agentic-ai project earns higher placement over time regardless of when it launched.
Browse to find agentic-ai projects worth contributing to, or submit your own agentic-ai repo for free peer review. Filter by time period, sort by stars or momentum, or search within this topic.
Turn your models and MCP tools into AI workflows you can chat with, automate, and call from other apps.
Tura: 16.7% better performance, 77.5% fewer rounds — a local, open-source coding agent that understands repositories before editing.
Memory for Claude, Codex, Cursor, and any MCP agent. Free locally or $10/month managed.
> The community handbook for shipping real software with Claude Code.
KodeAgent is a minimalistic approach to building AI agents. It's designed to be the robust reasoning core inside your larger system, not the entire platform.
10xScale Agentflow is a lightweight Python framework for building intelligent agents and orchestrating multi-agent workflows. It's an LLM-agnostic orchestration
Run persistent AI agents across Telegram, Discord, Teams, terminal and desktop—with multiple backends and full MCP tool access.
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.
Enverif transforms into a dynamic, Open Claw-inspired sales management platform. Select an @agent, assign a @plugin, @skill, or @workflow AI with handle entire.
Drop-in @Cycles annotation that enforces budget and action limits on Spring Boot AI agents and LLM-calling services.
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.
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. 800+ character peer reviews from real developers. The leaderboard keeps your repo discoverable long after launch day.
