clacky-ai/openclacky

Perfil de clacky-ai

Última atividade de origem registrada: 13 de outubro de 2026 às 12:38

Catálogo do SkillsMP atualizado: 17 de outubro de 2026 às 00:09

skills coletadas: 22

Estrelas no GitHub: 1.202
Forks no GitHub: 114

README do repositório

Arquivo de origem do README: README.md

Ler o README original

Expandir README completo

# OpenClacky [![Build](https://img.shields.io/github/actions/workflow/status/clacky-ai/openclacky/main.yml?label=build&style=flat-square)](https://github.com/clacky-ai/openclacky/actions) [![Release](https://img.shields.io/gem/v/openclacky?label=release&style=flat-square&color=blue)](https://rubygems.org/gems/openclacky) [![Ruby](https://img.shields.io/badge/ruby-%3E%3D%203.1.0-red?style=flat-square)](https://www.ruby-lang.org) [![Downloads](https://img.shields.io/gem/dt/openclacky?label=downloads&style=flat-square&color=brightgreen)](https://rubygems.org/gems/openclacky) [![License](https://img.shields.io/badge/license-MIT-lightgrey?style=flat-square)](LICENSE.txt) <p align="center"> <a href="README.md">English</a> · <a href="README_CN.md">简体中文</a> · <a href="README_JA.md">日本語</a> </p> > Contributing? Read **[CONTRIBUTING.md](./CONTRIBUTING.md)** before opening a PR. **The most Token-efficient open-source AI Agent.** OpenClacky matches Claude Code on capability at comparable cost, and saves significantly against other open-source agents (~50% vs OpenClaw, costs only ~1/3 of Hermes). 100% open source (MIT), BYOK with any OpenAI-compatible model, built on two years of Agentic R&D and harness engineering. > Website: https://www.openclacky.com/ · Backed by **MiraclePlus · ZhenFund · Sequoia China · Hillhouse Capital** ## Why OpenClacky? Same task, how much do you pay? Under comparable agent workloads, OpenClacky saves a large amount of Token spend compared to mainstream alternatives. | Agent | Relative cost | Notes | |---|---|---| | **OpenClacky** | **~0.8×** | 16 tools · ~100% cache hit · subagent routing | | Claude Code | 1.0× (baseline) | World-class harness, closed-source subscription | | OpenClaw | ~1.5× | Comparable harness agent | | Hermes | ~3× | 52 built-in tools — schema bloat ~3–4× | *Numbers are averages measured on internal common agent tasks, using Claude Code as the baseline. Full benchmark reports will be published on GitHub.* ## Feature comparison Core agent capability is roughly on par across the field — the real differentiators are **cost, openness, Skill evolution, and integrations**. | Feature | Claude Code | OpenClaw | Hermes | **OpenClacky** | |---|:---:|:---:|:---:|:---:| | Token cost | 1.0× | ~1.5× | ~3× | **~0.8** | | Open source | ❌ Closed | ✅ Open | ✅ Open | ✅ MIT | | BYOK / model freedom | ❌ Anthropic only | ✅ | ✅ | ✅ | | Skill self-evolution | ❌ | ❌ | ✅ | ✅ | | IM integration (Feishu/WeCom/WeChat/Discord/Telegram) | ❌ | ✅ | ✅ | ✅ | ## How we get the cost down Not by cutting features — by compounding the right choice at every layer. ### 1. Ultra-high cache hit rate Sessions never restart, double cache markers, **Insert-then-Compress** — the system prompt is never mutated, so compression still reuses the cache. **Measured cache hit rate: near 100%.** ### 2. Minimal tool set Only **16 core tools**. Capabilities are offloaded to the Skill ecosystem via a single `invoke_skill` meta-tool. Tool count is not the metric — task completion rate is. | OpenClacky | Claude Code | OpenClaw | Hermes | |:--:|:--:|:--:|:--:| | **16** | 40+ | 23 | 52 | ### 3. Idle-time auto-compression Go to a meeting, grab coffee — the agent compresses long context in the background and pre-warms the cache. Your first message back hits the cache directly. **Cold-start first-token cost reduced by 50%+.** ### 4. BYOK — you pick the model, you set the cost Any OpenAI-compatible API, plug and play. Official direct, aggregate routing, compatible relays — the choice is 100% yours. Use Claude for code, auto-route subtasks to DeepSeek, save another chunk of tokens. Built on **2 years · 3 generations of agentic architecture · 6 core harness engineering decisions**. ## Skills — the soul of the agent - **Invoke with `/`** — instant browse, fuzzy search, direct call. Hundreds of Skills at your fingertips. - **Create Skills in natural language** — just describe what you want; the agent drafts `SKILL.md`, breaks down steps, and runs validation. No code required. - **Self-evolving** — after each run, the agent updates the Skill based on execution context and results. The next call is more stable and more accurate. - **Open & compatible** — supports Claude Skills / Markdown Pack / custom formats. - **Monetizable** — polished Skills can be packaged for sale, with encrypted distribution, License management, and creator-defined pricing. ## Installation ### Desktop installer (recommended) Double-click to install — environment, dependencies, and Skills all set up automatically. - **macOS** — [Download `.dmg`](https://oss.1024code.com/openclacky-installer/official/openclacky-installer.dmg) (Apple Silicon / Intel) - **Windows** — [Download `.exe`](https://oss.1024code.com/openclacky-installer/official/openclacky-installer.exe) (Windows 10 2004+ / Windows 11) More options: https://www.openclacky.com/ ### Command line One-line install(Mac/Ubuntu): ```bash /bin/bash -c "$(curl -sSL https://raw.githubusercontent.com/clacky-ai/openclacky/main/scripts/install.sh)" ``` Windows: ```bash powershell -c "& ([scriptblock]::Create((irm 'https://raw.githubusercontent.com/clacky-ai/openclacky/main/scripts/install.ps1')))" ``` or using Ruby(3.x/4.x): **Requirements:** Ruby >= 3.1.0 ```bash gem install openclacky ``` see more: https://www.openclacky.com/docs/installation ### Docker #### Pre-built image (GHCR) Images are published to GitHub Container Registry on version tags (`v*`). ```bash # Replace <owner> with the repo owner (e.g. clacky-ai or your fork) docker pull ghcr.io/<owner>/openclacky:latest # or pin a release: # docker pull ghcr.io/<owner>/openclacky:1.5.3 ``` **Linux:** ```bash docker run -d --name openclacky --network=host \ -e CLACKY_ACCESS_KEY="" \ -v openclacky-data:/root/.clacky \ ghcr.io/<owner>/openclacky:latest ``` `--network=host` is required so the agent inside the container can reach Chrome's remote debugging port running on the host. **macOS / Windows:** ```bash docker run -d --name openclacky -p 7070:7070 \ -e CLACKY_ACCESS_KEY="" \ -v openclacky-data:/root/.clacky \ ghcr.io/<owner>/openclacky:latest ``` > **Note:** On macOS/Windows, `--network=host` is not supported — browser automation may be limited. Open **http://localhost:7070** after starting. #### Build from source ```bash git clone https://github.com/clacky-ai/openclacky.git cd openclacky # optional: set the OCI image version label docker build --build-arg VERSION=1.5.3 -t openclacky . docker run -d -p 7070:7070 -e CLACKY_ACCESS_KEY="" openclacky ``` Environment variables: | Variable | Description | |---|---| | `CLACKY_ACCESS_KEY` | Protect the Web UI with an access key (empty = public mode; env must be present when binding `0.0.0.0`) | ## Quick Start ### Terminal (CLI) ```bash openclacky # start interactive agent in current directory ``` ### Web UI ```bash openclacky server # default: http://localhost:7070 ``` Open **http://localhost:7070** for a full chat interface with multi-session support — run coding, copywriting, research sessions in parallel. Options: ```bash openclacky server --port 8080 # custom port openclacky server --host 0.0.0.0 # listen on all interfaces (remote access) ``` Linux sandbox hosts can opt into task limits with `openclacky server --task-cgroup /sys/fs/cgroup/tasks`. The host must first create that cgroup, configure its aggregate memory/CPU limits, and enable the `memory` and `cpu` subtree controllers. Terminal shells and browser MCP daemons enter child groups before exec; the server remains outside. Terminal results include `resource_exhausted: "memory"` and an error when their group records an OOM kill, even if the shell masks the child's failure. A separately managed Chrome must also be placed under the same parent by its launcher. This option is off by default and does not establish a security boundary against privileged commands. ## Configuration ```bash $ openclacky > /config ``` Set your **API Key**, **Model**, and **Base URL** (any OpenAI-compatible provider). Supported out of the box: **Claude (Anthropic) · GPT (OpenAI) · DeepSeek · Kimi (Moonshot) · MiniMax · OpenRouter** — or any custom endpoint. In Web, use the permission selector above the message box to switch the current session between **Manual** and **Auto**, including while running. The choice is saved for that session. Running tools finish normally; subsequent actions use the new mode. Switching to Manual stops an active question countdown. Auto approve runs tools without approval. In auto-approve mode, CLI and Web wait 20 seconds after `ask_user` before the agent decides how to continue. Typing or selecting an answer cancels the timer and waits for submission. Configure the duration in `~/.clacky/config.yml`: ```yaml settings: ask_user_timeout_seconds: 20 ``` Use a non-negative integer (seconds); `0` continues immediately. Missing or invalid values use 20 seconds. Other permission modes wait for an answer. ## Coding use case OpenClacky works as a general AI coding assistant — scaffold full-stack apps, add features, or explore unfamiliar codebases: ```bash $ openclacky > /new my-app # scaffold a new project > Add user auth with email and password > How does the payment module work? ``` ## Star History <a href="https://star-history.dera.page/#clacky-ai/openclacky&type=date&legend=top-left"> <picture> <source media="(prefers-color-scheme: dark)" srcset="https://star-history.dera.page/svg?repos=clacky-ai/openclacky&type=date&theme=dark&legend=top-left" /> <source media="(prefers-color-scheme: light)" srcset="https://star-history.dera.page/svg?repos=clacky-ai/openclacky&type=date&legend=top-left" /> <img alt="Star History Chart" src="https://star-history.dera.page/svg?repos=clacky-ai/openclacky&type=date&legend=top-left" /> </picture> </a> ## Advanced — Creator Program Already power users are turning their workflows into vertical AI experts on OpenClacky — encrypted distribution, License management, self-set pricing. Legal, healthcare, financial planning, and more. Learn more: https://www.openclacky.com/ → Creators ## Install from Source ```bash git clone https://github.com/clacky-ai/openclacky.git cd openclacky bundle install bin/clacky ``` ## Trust & Credibility - **100% open source** — MIT License, all code public, all decisions traceable - **2 years of Agentic R&D** — 3 generations of architecture - **16 core tools** — minimal by design - **Backed by** MiraclePlus · ZhenFund · Sequoia China · Hillhouse Capital ## Contributors Every line of code, bug report, and thoughtful review matters. Thank you for making OpenClacky better. <a href="https://github.com/clacky-ai/openclacky/graphs/contributors"> <img src="https://contrib.rocks/image?repo=clacky-ai/openclacky" /> </a> ## Contributing Bug reports and pull requests are welcome on GitHub at https://github.com/clacky-ai/openclacky. Contributors are expected to adhere to the [code of conduct](https://github.com/clacky-ai/openclacky/blob/main/CODE_OF_CONDUCT.md). ## License Available as open source under the [MIT License](https://opensource.org/licenses/MIT).

Carregando o README do repositório…

Skills neste repositório

Desenvolvedores de software

1 categorias ocupacionais · 14% classificado

Desenvolvedores de software

Smart Git commit helper that analyzes changes and creates semantic commits

Idioma do texto original: inglês

2026-03-19

Mostrando 22 de 22 skills coletadas.

Instalar com um assistente de IA

Copie este prompt para o assistente de IA que você usa.

Follow https://skillsmp.com/skill-install/prompt.md to install Agent Skills from https://github.com/clacky-ai/openclacky.