Google ADK vs IronClaw
Side-by-side comparison of two agent options that often come up together when people are choosing between self-hosted frameworks, managed assistants, and extensible AI tooling.
Open source19k stars
Google ADK
Google's open-source code-first Python toolkit for building and evaluating AI agents
Open source12k stars
IronClaw
Defense-in-depth Rust agent with enterprise-grade security and TEE enclaves
Category
Google ADK
IronClaw
Tagline
Google's open-source code-first Python toolkit for building and evaluating AI agents
Defense-in-depth Rust agent with enterprise-grade security and TEE enclaves
Deployment
Self-Hosted
Self-Hosted
Pricing
Free to use, with optional model or infrastructure costs if you self-host.
Usually affordable for individuals or small teams, with some recurring model or hosting costs.
Channels
Web, CLI
Telegram, Slack, Web
Open source
Yes
Yes
Privacy
Some privacy controls exist, but vendor-hosted infrastructure still handles a meaningful share of the data flow.
Good privacy posture for most teams, especially when self-hosted or carefully configured.
Google ADK pros
- Official Google backing
- Built-in evaluation framework
- Multi-agent orchestration
IronClaw pros
- Open source with transparent code and flexible deployment options.
- Security posture is excellent for sensitive workflows.
- Strong privacy story for users who care where data runs.
Google ADK cons
- Python-only
- Development framework, not ready-to-use assistant
- Google Gemini API dependency
IronClaw cons
- Smaller channel support (Telegram, Slack, web only)
- Rust ecosystem less mature for agent tooling
- Setup complexity higher due to security hardening requirements
Google ADK gotchas
- You should expect ongoing hosting, uptime, and secret-management work if you deploy it for real users.
IronClaw gotchas
- You should expect ongoing hosting, uptime, and secret-management work if you deploy it for real users.
- Recurring subscription or model spend can matter more than the headline feature list.
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