Which is more popular, AIOS or OpenAGI?

AIOS has more GitHub stars (6,442 vs 2,287).

Which is more actively developed, AIOS or OpenAGI?

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

OpenAGI has had no commit in 22 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 +5 for OpenAGI.
Pick AIOS for: aIOS: AI Agent Operating System. Pick OpenAGI for: openAGI: When LLM Meets Domain Experts.

From GitHub data refreshed daily.

AIOS: AI Agent Operating System

OpenAGIopen-source

OpenAGI: When LLM Meets Domain Experts

+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

+Research-backed framework with peer-reviewed methodology published in NeurIPS 2023
+Structured agent sharing ecosystem with upload/download functionality for community collaboration
+Built-in external tool integration system allowing agents to leverage specialized capabilities

-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 migration to Cerebrum SDK for full AIOS integration, suggesting the main package may have limited standalone utility
-Rigid folder structure requirements that may limit flexibility in agent organization
-Heavy dependency on AIOS ecosystem for optimal 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

•Building domain-specific expert agents for AIOS deployment in specialized fields like research or analysis
•Creating and sharing custom AI agents with the research community through the built-in marketplace
•Developing modular agents that leverage external tools for complex multi-step workflows

Which is more popular, AIOS or OpenAGI?: AIOS has more GitHub stars (6,442 vs 2,287).
Which is more actively developed, AIOS or OpenAGI?: AIOS had more commits in the last 90 days (19 vs 0).
Should I use AIOS or OpenAGI?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.