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.

deploy