Cradle
General Computer Control framework for strong reasoning and self-improvement.
Pricing
Free tier
Flat rate
Adoption
↘CoolingLicense
Open Source
Data freshness
Aging · Jun 8, 2026Overview
What is Cradle?
The Cradle framework supports agents in performing any computer task by enabling robust reasoning abilities, self-improvement, and skill curation within a standardized environment with minimal requirements. It is designed to empower developers and researchers working on advanced AI agent systems.
Key differentiator
“Cradle stands out by providing a standardized environment for developing AI agents with strong reasoning and self-improvement capabilities, making it ideal for research and development in autonomous systems.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Lacks native support for popular AI frameworks and tools, requiring custom integrations
GitHub issues have low engagement and long response times from maintainers
Fit analysis
Who is it for?
✓ Best for
Researchers looking to develop and test new reasoning algorithms for AI agents
Development teams working on self-improving software agents
Projects requiring a standardized environment for agent development with minimal setup requirements
✕ Not a fit for
Teams needing real-time interaction capabilities (Cradle focuses more on task-oriented environments)
Applications that require heavy integration with specific frameworks or platforms, as Cradle is designed to be general-purpose
Cost structure
Pricing
Free Tier
Available
Open source — free to use
Starts at
$0
Model
Flat rate
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Works well with
Integrations
Next step
Get Started with Cradle
Step-by-step setup guide with code examples and common gotchas.