BAAI-Agents/Cradle
The Cradle framework is a first attempt at General Computer Control (GCC). Cradle supports agents to ace any computer task by enabling strong reasoning abilities, self-improvment, and skill curation, in a standardized general environment with minimal requirements. observed · 2026-08-28
Health v2 · maintenance only
25/100
- Activity 0
- Release rhythm 35
- Longevity 65
Flags: no_releases
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 913
- days_rel: n/a
- days_push: 664
- n_releases_24m: 0
Adoption not part of the score
2573 stars · 266 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Cradle is a Python framework for General Computer Control (GCC), enabling foundation agents to perform complex computer tasks using screenshots as input and keyboard/mouse actions as output. It is a modular LMM-powered framework with modules for self-reflection, task inference, skill curation, action planning, and memory.
Use cases
- build ai agents that control a computer via screenshots and mouse/keyboard
- automate tasks in games like Red Dead Redemption 2 or Stardew Valley with an llm agent
- create agents that operate desktop software like Chrome or Outlook
- research general computer control with vision-language models
- benchmark foundation agents across diverse virtual environments
- prototype multimodal agents with skill curation and self-reflection
When to choose
- you want a research framework for agents that interact with GUIs like humans do
- you need a unified screenshot-in, keyboard/mouse-out agent interface across games and software
- you want modular agent components like memory, planning, and skill curation out of the box
When to avoid
- you need a production-ready RPA tool with guaranteed reliability
- you only need simple browser automation without multimodal reasoning
- you require a lightweight agent without heavy LMM API dependencies
Facets
framework · maturity active
agent-framework computer-vision llm-inference workflow-automation artificial-intelligence large-language-models python windows cross-platform general-computer-control multimodal vision-language-model gui-automation game-agents screenshot-input keyboard-mouse-control ai-agents automation desktop
2 sources
- readme: https://github.com/BAAI-Agents/Cradle · fetched 2026-08-28 · 6e2645a7f644
- homepage: https://baai-agents.github.io/Cradle/ · fetched 2026-08-29 · a84293764f85
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| BAAI-Agents/Cradle | main | 25 |
For agents
markdown · JSON · MCP: product_card(name="BAAI-Agents/Cradle")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem