We may earn a commission if you buy through links on this page. It never changes a score or a ranking. How we make money
It's a split decision.
Choose OpenClaw if you want an explicitly self-hosted personal agent, MIT-licensed source, and desktop apps or CLI installation across macOS, Windows, and Linux. Choose Goose if your codebase needs an agent API, the Goose Development Kit, portable YAML recipes, or broad LLM and MCP support. Both software projects are free to run, but model usage and infrastructure can add costs. Neither plan publishes seat or usage limits, so estimate provider costs and operational requirements separately.
01Side by side
| OpenClaw | Goose | |
|---|---|---|
| Pricing model | Software $0; model, hosting, and operations are yours | Software $0; usage depends on chosen LLM provider |
| Free tier | No-cost software; no hosted tier or usage limits published | No-cost software; seat and usage limits unpublished |
| Open source and licence | Open source under MIT | Open source under Apache 2.0 |
| Self-hosting | Explicitly self-hosted; install locally or from source | Runs on your machine; deployment model is less explicit |
| API and SDKs | Gateway and desktop features; no embedding API listed | API and Goose Development Kit for embedded agents |
| CLI and docs | npm, pnpm, installer, and source-checkout instructions | Full terminal CLI, quickstart, docs, and tutorials |
| Integrations | Homepage mentions ChatGPT accounts, Discord, Twilio, and X API | 15+ LLM providers and 70+ documented MCP extensions |
| Platforms | macOS, Windows, and Linux desktop apps | macOS, Linux, and Windows desktop app |
OpenClaw Choose OpenClaw if
- Choose OpenClaw if you want a personal agent you explicitly self-host.
- Choose OpenClaw if MIT licensing fits your source-use requirements.
- Choose OpenClaw if you want desktop apps plus npm, pnpm, or source installation.
Goose Choose Goose if
- Choose Goose if you need an API or the Goose Development Kit.
- Choose Goose if your stack uses several LLM providers or MCP extensions.
- Choose Goose if YAML recipes, subagents, or desktop MCP Apps fit your workflows.
02Pricing at real usage
Both projects list their software at $0 per month, with no paid subscription or annual billing to compare. OpenClaw is self-hosted and has no hosted tier; its review describes the operator as providing the models, infrastructure, and operational care. Goose is also free to run, but its costs depend on the LLM provider you choose: it accepts API keys and eligible Claude, ChatGPT, or Gemini subscriptions through ACP. The pricing pages do not publish seat or usage limits for either project, and neither lists a per-request software charge. That does not make an agent deployment cost-free: model usage, compute, and ongoing operations may add expense. Before rollout, estimate those costs against your workload and confirm provider billing and subscription eligibility. The listed software price alone cannot establish production cost.
03API, SDKs and integration
OpenClaw’s homepage presents desktop apps with gateway, chat, setup, and node features, plus CLI installation through npm, pnpm, or a one-line installer. It also documents cloning the source and running the pnpm workspace. The homepage emphasizes those installation and personal-agent surfaces rather than an embedding API or SDK. Its testimonials mention signing in with a ChatGPT account and using Discord, Twilio, and the X API.
Goose offers a desktop app, full CLI, and API. Its Goose Development Kit exposes runtime components for building agents in native apps, servers, and browsers, with saved-state resumption and control over models, tools, and behavior. The homepage says Goose is built in Rust, but does not name SDKs for other languages. It supports 15+ LLM providers and works as an ACP server for editors including Zed, JetBrains, and VS Code. Its MCP ecosystem includes 70+ documented extensions; YAML recipes package instructions, extensions, parameters, and subrecipes.
04Open source, self-hosting and lock-in
OpenClaw is open source under the MIT License, and its homepage gives instructions for local installation and source checkouts. Its self-hosted model gives operators control over where it runs, but also leaves them responsible for infrastructure and operations. Goose is open source under Apache 2.0 and runs on your machine. It supports multiple model providers, which gives teams options when changing model vendors; recipes are portable YAML configurations. The vendor does not publish specific data-export guarantees for either project, so check how conversation state, credentials, and local files can be backed up or moved before deployment. Source access and provider choice reduce some forms of lock-in, but extensions and workflow behavior may still need changes when moving between agent runtimes. Validate those migration paths against your own setup.
Questions people ask
Is OpenClaw or Goose cheaper to run?
Both list the software at $0 per month, and neither publishes seat or usage limits. Your total cost depends on model usage and infrastructure. OpenClaw is self-hosted; Goose uses your chosen provider’s API keys or an eligible existing subscription. Check provider pricing and expected workload before choosing.
Which agent is better for embedding in an application?
Goose is the clearer fit for embedding: it offers an API and the Goose Development Kit for agents in native apps, servers, and browsers. OpenClaw’s homepage documents desktop features and CLI installation, but does not list an embedding API or SDK.
Can both agents use different LLM providers?
Goose explicitly supports 15+ providers, including Anthropic, OpenAI, Google, Ollama, OpenRouter, Azure, and Bedrock. OpenClaw’s homepage mentions a ChatGPT account in a testimonial, but does not provide a comparable provider list. Confirm its model setup against your requirements.
Which agent should I choose for a self-hosted setup?
OpenClaw is the more explicit choice: it describes itself as self-hosted and provides desktop, command-line, and source installation options. Goose runs on your machine and is free to run, but its homepage does not describe an equivalent self-hosting deployment model in the same terms.