Which is more popular, Maestro or OpenHuman?

OpenHuman has more GitHub stars (40,486 vs 4,357).

Which is more actively developed, Maestro or OpenHuman?

OpenHuman had more commits in the last 90 days (22,774 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

Maestro has had no commit in 27 months; OpenHuman is actively maintained (22,774 commits in the last 90 days).
OpenHuman is growing faster: +2,510 GitHub stars in the last 30 days vs +5 for Maestro.
Pick Maestro for: a framework for Claude Opus to intelligently orchestrate subagents. Pick OpenHuman for: openHuman is the fastest, cheapest, most efficient open-source agent harness.

From GitHub data refreshed daily.

A framework for Claude Opus to intelligently orchestrate subagents.

OpenHumanopen-source

OpenHuman is the fastest, cheapest, most efficient open-source agent harness. Written in Rust

+Multi-provider support allows switching between Anthropic, OpenAI, Google, and local models seamlessly
+Intelligent task decomposition automatically breaks complex objectives into executable sub-tasks
+Local execution capabilities through Ollama and LMStudio reduce API costs and increase privacy

-Requires multiple API keys and setup for different providers, adding configuration complexity
-Python-only implementation limits accessibility for non-Python developers
-Performance depends heavily on the quality of the chosen orchestrator model

•Complex research projects requiring multiple specialized AI agents for different aspects
•Content creation workflows where tasks need to be broken down and executed systematically
•Local AI orchestration for privacy-sensitive tasks using Ollama or LMStudio

Which is more popular, Maestro or OpenHuman?: OpenHuman has more GitHub stars (40,486 vs 4,357).
Which is more actively developed, Maestro or OpenHuman?: OpenHuman had more commits in the last 90 days (22,774 vs 0).
Should I use Maestro or OpenHuman?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.