Brigade vs LangGraph

Side-by-side comparison of two AI agent tools

B
Brigadeopen-source

Brigade — Your personal intelligence, built enterprise-grade

LangGraphopen-source

Build resilient language agents as graphs.

Metrics

BrigadeLangGraph
Stars10.6k42.5k
Star velocity /mo885.66666666666662.4k
Commits (90d)258129
Releases (6m)1010
Overall score0.70466920320628750.7972844109196278

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

        FAQ

        Which is more popular, Brigade or LangGraph?
        LangGraph has more GitHub stars (42,525 vs 10,628).
        Which is more actively developed, Brigade or LangGraph?
        Brigade had more commits in the last 90 days (258 vs 129).
        Should I use Brigade or LangGraph?
        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.
        Brigade vs LangGraph (2026): GitHub Stats, Features & Which to Choose