Inngest vs Goose (by Block)

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.

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Starting Price

Free

Goose (by Block)

🔴Developer

AI Agents

Open-source, extensible AI agent from Block that runs on your machine and orchestrates LLMs, MCP tools, and developer workflows.

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Starting Price

Custom

Feature Comparison

Scroll horizontally to compare details.

FeatureInngestGoose (by Block)
CategoryAI AgentsAI Agents
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

    Goose (by Block) - Pros & Cons

    Pros

    • Open source and free under Apache 2.0 — no vendor lock-in
    • MCP-native: the entire MCP server ecosystem is available out of the box
    • Bring-your-own LLM, including local models like Ollama for cost control
    • Approval flows let you inspect every tool call before it runs
    • Backed by a real product company (Block) rather than a one-person side project

    Cons

    • Setup is config-driven — not a one-click consumer experience
    • Desktop UI is less polished than Cursor or Claude Desktop
    • No managed cloud option for non-developer teammates
    • You're responsible for picking model + tool combos and managing safety

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