📖 The AI Tool Bible

Izlo vs Mastra

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

 
Izlo
Agents
Mastra
Agents
TaglinePrompt management platform with version control, collaboration, and an API for production deployment.Open-source TypeScript framework for building, deploying, and observing AI agents and workflows.
CategoryAgentsAgents
PricingPaid· Solo $20/mo; Pro $25/user/mo; Enterprise $39/user/moFreemium· Free open-source core (Apache 2.0); Enterprise license available
ModelModel-agnosticMulti-model (90+ providers)
Editorial score6.9 / 108.1 / 10
Use cases
prompt-managementversion-controlteam-collaborationprompt-testingproduction-deployment
ai-agentsworkflow-orchestrationragcopilotsmcp-serversagent-observability
Pros
  • Git-style version history and activity log for every prompt change
  • Remix sandbox isolates experiments from production prompts
  • REST API lets you swap prompts without redeploying the app
  • Built for multi-user team editing, not just solo developers
  • TypeScript-native, fits cleanly into Next.js/Node stacks
  • Apache 2.0 core with no seat or usage limits
  • Built-in evals, traces, and metrics for agent observability
  • Model router across 90+ LLM providers
  • First-class MCP server support
Cons
  • No free tier; cheapest plan is $20/mo
  • Stingy token allowance (5K/seat) for in-app testing
  • Lighter on observability/analytics than Langfuse or Helicone
  • Supported model providers not clearly listed on the site
  • TypeScript only; Python shops will look elsewhere
  • Younger ecosystem than LangChain/LlamaIndex
  • Enterprise features are source-available, not OSS
Websitegetizlo.commastra.ai
Pick Izlo if
  • ✅ Git-style version history and activity log for every prompt change
  • ✅ Remix sandbox isolates experiments from production prompts
  • ✅ REST API lets you swap prompts without redeploying the app
  • ✅ Built for multi-user team editing, not just solo developers
Pick Mastra if
  • ✅ TypeScript-native, fits cleanly into Next.js/Node stacks
  • ✅ Apache 2.0 core with no seat or usage limits
  • ✅ Built-in evals, traces, and metrics for agent observability
  • ✅ Model router across 90+ LLM providers
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