Agent Zero vs NanoClaw
We give Agent Zero and NanoClaw the same GPA: 3.2 out of 4.0. They get the same grade on all five counts.
Price, platforms and features side by side. The table says where each price was read and when.
Agent Zero
Open-source agent framework that works in its own Linux computer
Free
How we grade them
| 3.2GPAAgent ZeroVery good | 3.2GPANanoClawVery good | |
|---|---|---|
| Value for money | AFree and open source under the MIT license, with no paid edition and no hosted tier. The project funds itself through a crypto token called A0T, not through plans. What you do pay for is model access, billed by whichever provider you connect. | AIt costs nothing. NanoClaw is free and open source under the MIT license, with no paid plan at all. What you do pay for is the AI model behind it, billed by the provider you connect, unless you run local Ollama models. |
| Free plan and trial | AThe whole framework is free: the desktop, the browser, memory, plugins, the lot. Nothing is held back, because there's no paid plan to hold it for. You can even point it at a local model through Ollama or LM Studio. | AThe whole product is free, with nothing held back for a paid tier. You bring the computer it runs on and your own AI provider account. |
| Features | AThe agent gets a full Linux desktop with a browser, a terminal and LibreOffice, and you share the mouse and keyboard. It keeps memory per project, hands parts of a job to subagents, runs scheduled jobs, and takes more than 100 community plugins. | AMessage it from the terminal or from WhatsApp, Telegram, Slack, Discord, Signal, iMessage and Teams. Each session runs in its own Docker container, API keys sit in a vault outside it, and jobs can repeat on a schedule. Templates stamp out a ready-made agent with its skills. |
| Ease of use | DYou host it yourself. There's no hosted version to sign in to, so it runs in Docker on a machine you provide, and you connect your own model provider before it does anything. The guided desktop Launcher does take some of the sting out of installing it. | DYou host it yourself. Installing means git and a terminal, Docker is the only container runtime it supports, and your computer has to stay on for it to answer. There's no graphical app either: you talk to it in the terminal or in a chat app. |
| Platforms and integrations | BThe Launcher comes for Mac, Windows and Linux, and you work in a web interface. It connects to MCP servers and to model providers like OpenAI, Anthropic and Ollama. No iPhone or Android app is listed. | BIt runs on Mac, Linux and Windows, though Windows only through WSL2. It has no phone app of its own, so on a phone you reach it through a chat app you've connected: WhatsApp, Telegram, Slack, Discord, Signal, iMessage or Microsoft Teams. |
| Best for | an open-source agent you can watch and take apart | a self-hosted agent kept inside containers |
The GPA is the average of the five grades: an A is 4 points, an F is none. The full reasons are on each tool's page: Agent Zero and NanoClaw. How we grade
Where they differ
- Agent Zero is free. NanoClaw is free.
- Only Agent Zero lists a web app.
- NanoClaw also covers chat assistant, templates and workflow automation.
In commonFree planmacOSWindowsLinuxOpen sourceSelf-hostableAI agents
At a glance
| Agent Zero | NanoClaw | |
|---|---|---|
| Pricing | Free | Free |
| Starts at | Free | Free |
| Free plan | The whole framework is free and open source under the MIT license, with no paid edition or hosted tier. You supply the machine it runs on and your own model access, which the provider bills separately. | The whole product is free and open source under the MIT license. You supply the computer it runs on and your own AI provider account, which the provider bills separately. |
| Free trial | None listed | None listed |
| Web | ||
| macOS | ||
| Windows | ||
| Linux | ||
| Made by | Agent Zero, s.r.o. | NanoCo |
| Price read from | agent-zero.ai | nanoclaw.dev |
| Checked | Oct 9, 2026 | Oct 6, 2026 |
Who each one suits
Agent Zero
- Developers who want an agent whose prompts and tools they can inspect and change
- Keeping an agent sandboxed in Docker instead of running it on the host
- Running on local models through Ollama or LM Studio
NanoClaw
- People who want a personal agent running on hardware they control
- Developers who want a small codebase they can read and fork
- Giving an agent shell access inside a container instead of on the host
Worth knowing
Agent Zero
- The site lists no hosted version: you install it with the Launcher, a terminal installer or Docker on a machine you provide.
- Model access is not included. You connect a cloud provider, an AI account such as ChatGPT or GitHub Copilot, or a local model server.
- The Launcher is offered for macOS, Windows and Linux; the installation page lists no iOS or Android app.
- The project funds itself through its A0T crypto token, not paid plans; a beta LLM API with a daily quota is open only to people who stake A0T.
NanoClaw
- There is no hosted version: you install it yourself with git and a terminal, and the computer must stay on for the agent to respond.
- The software is free, but hosted model usage is billed by the provider you connect, through a subscription or an API key.
- Docker is the only supported container runtime, and Windows is supported only through WSL2.
- The site lists no graphical app of its own: you talk to it in the terminal or through the messaging channels you connect.
Key features
Agent Zero
- Linux desktop in a container
- The agent gets an XFCE desktop session inside its Docker container, where it runs terminals, file tools and GUI software. You see each action and share the same mouse and keyboard.
- Browser with annotation
- A built-in browser opens pages, clicks, types, uploads files and takes screenshots. In Annotate mode you click a page element to have it changed, inspected, copied or commented on.
- Document cowork
- A Markdown editor and LibreOffice Writer, Calc and Impress are built into the workspace, so you and the agent edit the same document, spreadsheet or slide deck.
- Projects, memory and secrets
- Projects keep files, instructions, memory, secrets, Git repositories and model presets separate per workspace. A Memory Dashboard is used to review and manage what is stored.
- A0 CLI Connector
- An optional command-line bridge lets a sandboxed instance request access to files, a terminal and a Chromium-based browser on your own computer.
- Plugin Hub, MCP and A2A
- More than 100 community plugins install from the Web UI, each scanned for risks first. The agent also connects to MCP servers and Agent-to-Agent flows.
NanoClaw
- Messaging channels
- Talk to agents in the terminal or connect WhatsApp, Telegram, Slack, Discord, Signal, iMessage, Microsoft Teams and other channels, each installed on demand with an /add- skill.
- Container isolation
- Every active session runs in its own unprivileged Docker container and sees only the files you mount, so shell commands run inside the container rather than on your host.
- Credential vault
- By default agents never hold raw API keys: outbound requests pass through OneCLI's Agent Vault, which injects credentials at request time and applies per-agent policies and rate limits.
- Scheduled tasks
- Ask an agent in chat for a reminder or a recurring job and it creates a task on a cron-style schedule. Tasks can also be listed, paused and cancelled with the ncl admin CLI.
- Choice of model provider
- Claude is the default, Codex can be chosen during setup, and OpenCode or local Ollama models can be added later. Each agent group can use a different provider.
- Templates and skills
- A template stamps out a prebuilt agent with a persona, skills, MCP servers and paused recurring tasks, while skills add channels, providers or tools to your own fork.
Plans
Agent Zero
Agent Zero (MIT licensed)Free
The complete framework, installed with the desktop Launcher, a terminal installer or Docker, with a model provider of your choice.
NanoClaw
NanoClaw (MIT licensed)Free
The complete self-hosted agent, with channels, providers and tools added as skills. Model usage is billed by the provider you connect, unless you run local Ollama models.
