Which is more popular, AIOS or Self-Operating Computer?

Self-Operating Computer has more GitHub stars (10,296 vs 6,442).

Which is more actively developed, AIOS or Self-Operating Computer?

AIOS had more commits in the last 90 days (19 vs 0).

Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.

Side-by-side comparison of two AI agent tools

Self-Operating Computer has had no commit in 12 months; AIOS is actively maintained (19 commits in the last 90 days).
AIOS is growing faster: +165 GitHub stars in the last 30 days vs +13 for Self-Operating Computer.
Pick AIOS for: aIOS: AI Agent Operating System. Pick Self-Operating Computer for: a framework to enable multimodal models to operate a computer.

From GitHub data refreshed daily.

AIOS: AI Agent Operating System

A framework to enable multimodal models to operate a computer.

+Comprehensive resource management with dedicated modules for LLM, memory, storage, and tool management
+Dual interface support with both Web UI and Terminal UI for flexible development workflows
+Modular architecture separating kernel and SDK concerns, allowing focused development on either system-level or application-level features

+Multi-model compatibility supporting 7+ leading AI models including GPT-4 variants, Gemini, and Claude
+Simple installation and usage with single pip install and operate command
+Pioneer in computer automation field, being one of the first full computer-use frameworks available

-High complexity as an operating system-level solution may present steep learning curve for developers
-Requires understanding of both kernel and SDK components for full utilization
-Appears to be primarily research-focused, potentially limiting production readiness

-Requires API keys for external AI services, creating ongoing costs and dependencies
-Needs extensive system permissions including screen recording and accessibility access
-Subject to AI model outages and availability issues that can affect functionality

•Development and deployment of complex LLM-based AI agents requiring comprehensive resource management
•Building computer-use agents that need VM control and computer contextualization capabilities
•Research projects exploring AI agent operating system architectures and agent ecosystem development

•Automating repetitive desktop tasks across different applications and workflows
•Testing and comparing different AI models' computer control capabilities
•Building AI-powered desktop automation tools and demonstrations

Which is more popular, AIOS or Self-Operating Computer?: Self-Operating Computer has more GitHub stars (10,296 vs 6,442).
Which is more actively developed, AIOS or Self-Operating Computer?: AIOS had more commits in the last 90 days (19 vs 0).
Should I use AIOS or Self-Operating Computer?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.