OpenClacky
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, ~3× cheaper than 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 | ~0.8–1.2× | 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× | ~0.8–1.2× |
| Open source | ❌ Closed | ✅ Open | ✅ Open | ✅ MIT |
| BYOK / model freedom | ❌ Anthropic only | ✅ | ✅ | ✅ |
| Skill self-evolution | ❌ | ❌ | ✅ | ✅ |
| IM integration (Feishu / WeCom / WeChat) | ❌ | ✅ | ✅ | ✅ |
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(Apple Silicon / Intel) - Windows — Download
.exe(Windows 10 2004+ / Windows 11)
More options: https://www.openclacky.com/
Command line
Requirements: Ruby >= 3.1.0
gem install openclacky
Or one-line install:
/bin/bash -c "$(curl -sSL https://raw.githubusercontent.com/clacky-ai/openclacky/main/scripts/install.sh)"
Quick Start
Terminal (CLI)
openclacky # start interactive agent in current directory
Web UI
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:
openclacky server --port 8080 # custom port
openclacky server --host 0.0.0.0 # listen on all interfaces (remote access)
Configuration
$ 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.
Coding use case
OpenClacky works as a general AI coding assistant — scaffold full-stack apps, add features, or explore unfamiliar codebases:
$ openclacky
> /new my-app # scaffold a new project
> Add user auth with email and password
> How does the payment module work?
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
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
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.
License
Available as open source under the MIT License.