Inngest vs ZenML

Detailed side-by-side comparison to help you choose the right tool

Inngest

🔴Developer

AI Agents

Durable-execution platform for AI workflows and agents — write step-functions in TypeScript or Python, get retries, scheduling and observability for free.

Was this helpful?

Starting Price

Free
Full ReviewVisit Site

ZenML

🔴Developer

MLOps & Agent Runtime

Unified open-source platform for ML pipelines and durable AI agent runtimes, with managed control plane via ZenML Pro.

Was this helpful?

Starting Price

Custom
Full ReviewVisit Site

Feature Comparison

Scroll horizontally to compare details.

FeatureInngestZenML
CategoryAI AgentsMLOps & Agent Runtime
Pricing Plans8 tiers6 tiers
Starting PriceFree
Key Features
  • • Step-based function execution with automatic retries
  • • Event-driven workflow triggering and orchestration
  • • Local development server with production parity

    Inngest - Pros & Cons

    Pros

    • ✓Durable execution survives crashes and resumes mid-workflow
    • ✓AgentKit framework purpose-built for multi-step AI agents
    • ✓Generous free tier: 50k runs/month with full features
    • ✓Beautiful dashboard with traces, logs, and replay
    • ✓Works on Vercel, Cloudflare Workers, Lambda, and containers

    Cons

    • ✗TypeScript-first — Python SDK is less mature
    • ✗Step-function programming model has a learning curve
    • ✗Self-hosted Inngest available but most teams use the cloud
    • ✗Pricing jumps from $30 Basic to $150 Pro tier feel steep mid-stage

    ZenML - Pros & Cons

    Pros

    • ✓Genuinely framework-agnostic — works with whatever orchestrator you already use
    • ✓Kitaru fills a real gap between LangGraph-style state and Temporal-style durability
    • ✓Same control plane for ML pipelines and agent runtimes simplifies ops
    • ✓Strong open-source ethos with Apache 2.0 and self-host option
    • ✓LLMOps Database is one of the best learning resources in the space

    Cons

    • ✗Two-product story (ZenML + Kitaru) can be confusing for newcomers
    • ✗Self-hosting still requires real DevOps work despite the polish
    • ✗Less developer mindshare than Temporal or Inngest in the agent space
    • ✗ZenML Pro pricing requires looking at the site rather than headline numbers
    • ✗Documentation breadth lags the pace of new feature releases

    Not sure which to pick?

    🎯 Take our quiz →
    🦞

    New to AI tools?

    Read practical guides for choosing and using AI tools

    Read Guides →
    🔔

    Price Drop Alerts

    Get notified when AI tools lower their prices

    Tracking 2 tools

    We only email when prices actually change. No spam, ever.

    Get weekly AI agent tool insights

    Comparisons, new tool launches, and expert recommendations delivered to your inbox.

    No spam. Unsubscribe anytime.

    Ready to Choose?

    Read the full reviews to make an informed decision

    Review InngestReview ZenML