LangGraph vs OpenHuman

Side-by-side comparison of two AI agent tools

Short answer

  • Pick LangGraph for: build resilient language agents as graphs. Pick OpenHuman for: openHuman is the fastest, cheapest, most efficient open-source agent harness.

From GitHub data refreshed daily.

LangGraphopen-source

Build resilient language agents as graphs.

O
OpenHumanopen-source

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

Metrics

LangGraphOpenHuman
Stars42.7k40.5k
Star velocity /mo2.4k2.5k
Commits (90d)13222.8k
Releases (6m)1010
Downloads (30d, npm + PyPI)43.7M—
Overall score0.80913195306925360.9308227395695856

Pros

  • +Durable execution ensures agents automatically resume from exactly where they left off after failures or interruptions
  • +Comprehensive memory system with both short-term working memory for ongoing reasoning and long-term persistent memory across sessions
  • +Seamless human-in-the-loop capabilities allow for inspection and modification of agent state at any point during execution

    Cons

    • -Low-level framework requires more technical expertise and setup compared to high-level agent builders
    • -Graph-based agent design paradigm may have a steeper learning curve for developers new to agent orchestration
    • -Production deployment complexity may be overkill for simple chatbot or single-turn use cases

      Use Cases

      • •Long-running autonomous agents that need to persist through system failures and operate over days or weeks
      • •Complex multi-step workflows requiring human oversight, approval, or intervention at specific decision points
      • •Stateful agents that must maintain context and memory across multiple sessions and interactions
        View LangGraph DetailsView OpenHuman Details

        FAQ

        Which is more popular, LangGraph or OpenHuman?
        LangGraph has more GitHub stars (42,656 vs 40,486).
        Which is more actively developed, LangGraph or OpenHuman?
        OpenHuman had more commits in the last 90 days (22,774 vs 132).
        Should I use LangGraph or OpenHuman?
        Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.