cheapclaw 1.0.8

CheapClaw multi-bot orchestration CLI

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CheapClaw

CheapClaw is a multi-bot orchestration app built on top of the infiagent SDK.

Introduction

CheapClaw started from a simple feeling: watching my own OpenClaw token bill hurt.

At the same time, most people just want to try OpenClaw rather than use it heavily in practice. So the goal of CheapClaw is not to minimize code volume, nor to reproduce OpenClaw across every possible scenario. Instead, CheapClaw aims to preserve most of OpenClaw’s functionality, extend some of its capabilities, and improve how the same models handle complex tasks more cost-effectively.

The main difference lies in mixed execution of strong and weak models within a single agent loop. In OpenClaw, you can already rely on different bots: a stronger-model bot can make the plan, and a weaker execution bot can carry it out. However, the execution bot has a real weakness: if the actual progress during execution does not follow the original plan as expected, the weaker model often collapses.

Leveraging the characteristics of the InfiAgent SDK, CheapClaw allows a single agent loop to think in stages and directly cut away the entire earlier conversation history at intervals, such as every 10 or 20 steps. This not only keeps smaller models operating within a shorter context window, but also provides continuously updated plans from stronger models in time.

So although even replying to something as simple as “hello” still goes through a relatively heavy workflow—just like OpenClaw—CheapClaw becomes much more worthwhile once you start assigning more complex tasks, such as:

• “summarize 500 PDFs from a list into one table”
• “complete an EV research report of at least 100 pages”

For this kind of task, fine-grained mixed execution can save you a meaningful amount of money.

Core Capabilities

• Connects to Feishu, Telegram, and web chat, which are already tested, and also supports WhatsApp and Discord.
• Supports multiple bots and bot customization. You can also write system-add.md inside a bot runtime directory to give that bot additional role instructions and prompt guidance.
• Supports skills and multi-stage skill reveal.

Additional Capabilities

CheapClaw also supports a number of extra features that let users improve stability for vertical or domain-specific tasks:

• In addition to skills, you can attach complete agent systems to a bot. CheapClaw supports custom single-agent or multi-agent systems and custom tools, so you can rely on your own or third-party domain-specific agents to complete complex tasks more reliably, such as scientific research or academic writing. For the overall agent-system layout, you can also refer to the infiAgent repository. Do not directly install agent systems from unreviewed external sources; before using one, make sure it does not include tools such as human_in_loop, which can block background execution completely.
• Memory is fully layered. The bot's supervisor only maintains user interaction memory, while the dispatched sub-agent systems only maintain memory that belongs to similar work under the same task, without being polluted by unrelated task noise.
• Users can build their own agent systems by editing configuration files according to the infiagent project conventions, then add them under a specific bot.
• At the last layer of the agent system, different sub-agents can independently configure their thinking model, execution model, image reading model, compression model, and more.

Install

Install from PyPI

python -m pip install -U cheapclaw

Install from source

git clone https://github.com/polyuiislab/CheapClaw.git
cd CheapClaw
python -m pip install -U -e .

Install browser dependencies on first deployment

CheapClaw depends on infiagent, and crawl4ai / playwright inside that stack require a browser runtime for real web crawling.

So on a new machine or server, after installation, you should also run:

python -m playwright install --with-deps chromium

If you are mainly using a local desktop environment, you can also try:

crawl4ai-setup

After that, it is a good idea to run:

crawl4ai-doctor

If this step is skipped, tasks involving web crawling, browser automation, or crawl4ai-based reading/search may fail because Chromium or required system libraries are missing.

Quick Start

Option A: normal first-time setup

cheapclaw config --interactive
cheapclaw up

Then open:

http://127.0.0.1:8787/dashboard

Option B: create the template first

cheapclaw init
cheapclaw config --interactive
cheapclaw up

cheapclaw init creates fleet.manifest.json in the default location.

Default Paths

By default, CheapClaw stores its runtime files under:

~/cheapclaw

The most important paths are:

~/cheapclaw/fleet.manifest.json
~/cheapclaw/runtime
~/cheapclaw/runtime/config/llm_config.yaml

Most CLI commands automatically use this default manifest, so you usually do not need to pass --manifest manually.

If You Only Have One API Key and One Base URL

That is already enough.

In cheapclaw config --interactive, fill:

• llm.base_url
• llm.api_key
• llm.model

CheapClaw will generate a shared llm_config.yaml, and all bots use it by default.

How to fill llm.model

This part is easy to misunderstand, so here is the direct rule:

Use your model's API format prefix plus the model name provided by the service vendor.

For example, for openai/gpt-4o on OpenRouter, because that provider supports both OpenAI-format and OpenRouter-format calling styles, the model name may be written as:

• openai/openai/gpt-4o
• openrouter/openai/gpt-4o

In other words, you usually need to put the API-format prefix in front of the model name.

The default config examples use gemini-3-flash. You can keep the thinking model unchanged and swap other model slots to smaller models to save money. You can also mix local and cloud models. See the infiagent repository for details.

Recommended First-Time Path

If this is your first CheapClaw deployment, the safest path is:

1. Create one localweb bot first
2. Start CheapClaw
3. Open the dashboard and verify that web chat replies normally
4. Only then connect Telegram or Feishu

This avoids debugging all of these at once:

• LLM config
• channel credentials
• network proxy
• platform permissions

Dashboard

The built-in control console is available at:

http://127.0.0.1:8787/dashboard

From this page you can:

• view all bots
• check running status
• edit fleet config
• use local web chat
• create multi-bot group chats
• read conversation history
• manage runtime state without editing files by hand

Expose the dashboard on a server

If you want LAN or remote access:

cheapclaw up --web-host 0.0.0.0 --web-port 8787

Then access:

http://<server-ip>:8787/dashboard

Dashboard example

This screenshot shows a bot whose orchestration capability expanded from the built-in systems to more systems after installing an extra custom agent system through the CLI.

cheapclaw bot-agent-system add "/path/to/agent_system.zip" --bot-id bot_1 --reload-after

Adding Bots

You can add bots in two ways:

• Dashboard
• CLI

Add a bot from the CLI

cheapclaw add-bot

This command is interactive and will ask for:

• bot id
• display name
• channel type
• credentials
• whether to start immediately

Manage a single bot

cheapclaw start-bot --bot-id bot_1
cheapclaw stop-bot --bot-id bot_1
cheapclaw reload-bot --bot-id bot_1 --prepare-first

If you want to refresh the built-in agent systems in an existing bot runtime after upgrading, use:

cheapclaw reload-bot --bot-id bot_1 --prepare-first --restore-package-defaults

View bot status

cheapclaw list-bots
cheapclaw status
cheapclaw status --bot-id bot_1
cheapclaw logs --bot-id bot_1

Local Web Chat (localweb)

localweb is the best first testing channel because it does not require any third-party credentials.

Good use cases:

• first validation
• local debugging
• demos
• multi-bot group chat experiments

In localweb group chat:

• you can place multiple localweb bots into one conversation
• @bot_id routes the message to the corresponding bot
• if a message mentions one or more bots, only the mentioned bots will be triggered

Connecting Telegram

Prepare:

• a BotFather bot token
• optional allowed_chats

Inside cheapclaw config --interactive or cheapclaw add-bot:

• choose telegram
• fill telegram.bot_token
• if needed, fill telegram.allowed_chats

Start it:

cheapclaw start-bot --bot-id telegram_bot_1 --prepare-first

If Telegram polling returns 404 getUpdates, that usually means the token is wrong or malformed.

Connecting Feishu

Prepare:

• app_id
• app_secret

During setup:

• choose feishu
• fill feishu.app_id
• fill feishu.app_secret

CheapClaw uses Feishu long connection mode by default.

If your environment uses a proxy, make sure CheapClaw is actually reading the proxy configuration you intend it to use.

Other Channels

Current support also includes:

• Discord
• WhatsApp Cloud API
• QQ through OneBot v11 bridge
• WeChat through OneBot v11 bridge

For most users, it is still best to validate:

1. localweb
2. Telegram or Feishu

before adding bridge-based channels.

Installing a Custom Agent System

CheapClaw supports installing a complete agent system as a zip package.

Install into a single bot:

cheapclaw bot-agent-system add "/path/to/agent_system.zip" --bot-id bot_1

Install and reload immediately:

cheapclaw bot-agent-system add "/path/to/agent_system.zip" --bot-id bot_1 --reload-after

Install into global shared assets:

cheapclaw bot-agent-system add "/path/to/agent_system.zip" --global

Notes:

• --bot-id installs only into that bot runtime
• --reload-after restarts that bot immediately so the new system becomes visible
• runtime-installed systems are preserved during normal prepare / reload flows and are not automatically deleted

Common Commands

Main flow

cheapclaw init
cheapclaw config --interactive
cheapclaw prepare
cheapclaw up
cheapclaw stop
cheapclaw restart

Single-bot control

cheapclaw add-bot
cheapclaw start-bot --bot-id bot_1
cheapclaw stop-bot --bot-id bot_1
cheapclaw reload-bot --bot-id bot_1 --prepare-first

Status and logs

cheapclaw list-bots
cheapclaw status
cheapclaw status --bot-id bot_1
cheapclaw logs --bot-id bot_1

Dashboard control

cheapclaw web-start
cheapclaw web-stop
cheapclaw web-status

Agent system management

cheapclaw bot-agent-system add "/path/to/agent_system.zip" --bot-id bot_1
cheapclaw bot-agent-system add "/path/to/agent_system.zip" --bot-id bot_1 --reload-after
cheapclaw bot-agent-system add "/path/to/agent_system.zip" --global

Use Cases

Mobile access: Feishu + Telegram

The two screenshots below show CheapClaw connected to mobile chat channels.

Feishu	Telegram

This is a very practical deployment shape:

• orchestration logic runs on your server
• users still interact through familiar messaging apps
• the supervisor decides whether to reuse an old task or open a new branch

Web console + expanding agent systems

This case shows a bot that originally had only built-in systems, then gained more orchestration capability after an extra system was installed through the CLI.

Notes

1. Watchdog is low-frequency by default

The current default is:

watchdog_interval_sec = 86400

That is 24 hours.

This reduces maintenance noise. If you really need a shorter interval, change it after initialization in:

~/cheapclaw/runtime/<bot_id>/cheapclaw/config/app_config.json

2. system-add.md is now coexistence-friendly

CheapClaw only updates its own reserved block inside system-add.md.

So now:

• you can write your own prompts outside the reserved block
• agents can also record short experience and user preferences there
• CheapClaw will not overwrite the entire file

3. Stop services before deleting runtime files

Run:

cheapclaw stop

before deleting runtime directories or editing files inside them.

4. Agent system visibility is runtime-based

CheapClaw only exposes the agent systems that actually exist inside the current bot runtime.

That means:

• built-in infiagent systems are not auto-injected
• a bot only sees the systems you explicitly prepared or installed

5. When something goes wrong, return to localweb

If a social channel is not responding, first verify:

• the dashboard opens
• the localweb bot can reply
• the LLM config is valid

Then continue debugging Telegram or Feishu.

Repository Layout

assets/                    built-in config, agent systems, screenshots
docs/                      additional documentation
scripts/                   CLI and dashboard startup logic
tools_library/             CheapClaw runtime tools
web/                       dashboard frontend files
cheapclaw_service.py       main service loop
README.md                  English guide
README.zh-CN.md            Chinese guide

Additional Documentation

• English README
• Chinese CLI tutorial
• SDK guide