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OpenClacky

The most token-efficient open-source AI agent — 16 core tools, near-100% cache hits, and self-evolving skills for any OpenAI-compatible model.

★ 1,175 GitHub MIT ai-agentrubyskillstoken-efficientbyokcli AI Agents

Overview

OpenClacky is a token-efficient, MIT-licensed AI agent that matches Claude Code on capability at a fraction of the cost. It uses only 16 core tools, achieves near-100% prompt cache hit rates through session persistence and insert-then-compress context management, and offloads capabilities to a self-evolving Skill ecosystem. Bring your own key (BYOK) with any OpenAI-compatible model, route subtasks automatically, and connect channels like Discord, Telegram, Feishu, WeCom, and WeChat. Deploy via the official GHCR Docker image, a desktop installer for macOS and Windows, or the openclacky Ruby gem.

Requirements

Min vCPU
2
Min RAM
4096 MB
Min Disk
10 GB
Rec vCPU
4
Rec RAM
8192 MB
Rec Disk
20 GB

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Docker Compose

# Generated by Run This Ai — docker-compose.yml
services:
  openclacky:
    image: ghcr.io/clacky-ai/openclacky:latest
    restart: unless-stopped
    ports:
      - 8080:8080
    volumes:
      - ./data/openclacky:/data

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Guides & articles

How to Deploy OpenClacky with Docker: Step-by-Step Tutorial

Deploy the token-efficient OpenClacky AI agent with Docker in 10 minutes: pull the GHCR image, configure BYOK models, and run your first agentic task.

Aug 26, 2026

OpenClacky: The Token-Efficient Open-Source AI Agent — Complete Guide

OpenClacky matches Claude Code on capability at ~0.8x the token cost. Inside: its 16-tool design, near-100% cache hits, and self-evolving Skill ecosystem.

Aug 26, 2026