OpenClaw
Open-source personal AI assistant that runs across chat apps and devices.
About this tool
Best for
Self-hosted personal AI agents reachable from chat apps.
Key Features
- Multi-channel gateway for messaging apps
- Self-hosted agent runtime with local control
- Model-agnostic provider routing and failover
- Skills, memory, cron, tools, and webhooks
Pricing summary
OpenClaw itself is open source and free to install. Real operating cost depends on the model provider, API keys, local hardware, messaging channels, hosting, and any third-party services connected to the agent.
Pricing Plans
Open Source
Run OpenClaw yourself from npm or GitHub.
- MIT licensed project
- Install with npm or source checkout
- Gateway, agents, sessions, and dashboard
- Community-driven channel and skill ecosystem
BYOK Providers
Use your own model and API providers.
- Supports external model providers
- Works with popular API services
- Provider costs billed outside OpenClaw
- Useful with existing AI accounts
Self Hosted Ops
Run the gateway on your own machine or server.
- Deploy on personal hardware or VPS
- Control channel access and workspace data
- Use local or remote model services
- Infrastructure costs depend on setup
Other pricing notes
- No fixed hosted SaaS pricing was listed on the official OpenClaw site at the time checked.
- The project can be installed from npm or GitHub, but third-party model/API usage may create separate costs.
- Users should review provider keys, hosting costs, channel permissions, and security settings before production use.
Pros & Cons
Pros
- Open source and self-hostable for maximum control
- Works across many chat apps and devices
- Model-agnostic design reduces provider lock-in
- Good fit for always-on personal automation
- Extensible with skills, tools, and channel plugins
Cons
- Requires technical setup and ongoing maintenance
- Provider keys and connected services add security risk
- Costs depend on external model and hosting usage
- Not as simple as a hosted consumer AI app
- Sensitive workflows need careful allowlists and review
FAQs
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