The #agentic-ai leaderboard on RepoRanker surfaces open-source repos tagged agentic-ai 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 agentic-ai projects worth contributing to, or list your own agentic-ai repo for free. Search these repos, or choose New to sort by submission date and filter by time.
OpenClaw plugin for AI agent runtime control — enforce LLM cost limits, tool call caps, action permissions, and audit trails on OpenClaw agents before execution
Tura: 16.7% better performance, 77.5% fewer rounds — a local, open-source coding agent that understands repositories before editing.
Turn your models and MCP tools into AI workflows you can chat with, automate, and call from other apps.
Run persistent AI agents across Telegram, Discord, Teams, terminal and desktop—with multiple backends and full MCP tool access.
The community handbook for shipping real software with Claude Code.
Enverif transforms into a dynamic, Open Claw-inspired sales management platform. Select an @agent, assign a @plugin, @skill, or @workflow AI with handle entire.
Memory for Claude, Codex, Cursor, and any MCP agent. Free locally or $10/month managed.
10xScale Agentflow is a lightweight Python framework for building intelligent agents and orchestrating multi-agent workflows. It's an LLM-agnostic orchestration
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.
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.
MCP server that gives any MCP-compatible AI agent (Claude Code, Cursor, Windsurf, custom agents) runtime budget, action, and audit authority.
Python SDK for AI agent budget governance — enforce cost limits, tool permissions, and multi-tenant policies before LLM calls or agent actions execute.
Tokio-native Rust client for the Cycles protocol — runtime authority over autonomous AI agents. Cycles enforces hard limits on spend, actions, pre-execution.
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.
Free listing, live immediately, and it stays discoverable long after launch day. Paid placement is optional and starts at $3.