Kratos vs Temporal AI
Side-by-side comparison of features, pricing, and ratings
Kratos or Temporal AI: which should you choose?
| Dimension | Kratos | Temporal AI |
|---|---|---|
| Pricing | Free (open-source) | Freemium (cloud free tier available, usage-based billing for higher tiers) |
| Core Purpose | Go microservices framework with Protobuf APIs, now includes AI agent support via Blades | Durable execution platform for reliable workflows and AI agents across multiple SDKs |
| Language Support | Go only | Multiple SDKs: Python, Go, TypeScript, Ruby, C#, Java, PHP, Rust (preview) |
| AI Agent Focus | Blades agent framework for LLM-powered workflows (static), OpenAI provider | Durable AI agent orchestration with OpenAI Agents SDK integration, human-in-the-loop, retries |
| Observability | OpenTelemetry, Prometheus, structured logging | Full visibility UI into execution state and history, OpenTelemetry integration |
| Serverless Workers | No (self-managed infrastructure) | Yes (announced Replay 2026, no worker management) |
Choose Temporal AI if you need a battle-tested, multi-language durable execution platform for reliable AI agents and workflows—especially if you require human-in-the-loop, automatic retries, and a managed cloud option. Choose Kratos if you're a Go-only team building cloud-native microservices with Protobuf and want to add LLM agent capabilities via the Blades framework, and you prefer a lightweight, open-source framework over a platform.
Kratos is an open-source Go framework for building Protobuf-first microservices over HTTP and gRPC, with Blades for LLM agents.
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Durable execution platform that keeps AI agents and long-running workflows alive through crashes, retries, and abandoned sessions.
Visit WebsiteWho should pick Kratos, and who should pick Temporal AI?
- Multi-language team building reliable AI agentsPick: Temporal AI
Temporal's durable execution and multi-SDK support allow agents to survive failures, with human-in-the-loop and OpenAI Agents SDK integration.
- Go-only startup building microservices with AI featuresPick: Kratos
Kratos provides a lightweight, protobuf-driven service skeleton with Blades for LLM agents, ideal if you want full control and minimal overhead.
- Enterprise requiring Saga transactions and rollbacksPick: Temporal AI
Temporal has native support for Saga compensating transactions and automatic retries, critical for financial systems.
- Platform engineer standardizing Go servicesPick: Kratos
Kratos offers a pluggable middleware pipeline, service registry, and code generation, making it a solid foundation for internal microservices frameworks.
- Solo founder with limited ops capacityPick: Temporal AI
Temporal Cloud's serverless workers (latest news) reduce operational complexity, and the free tier allows starting small without managing infrastructure.
Frequently Asked Questions
Kratos vs Temporal AI: which should you choose?
Choose Temporal AI if you need a battle-tested, multi-language durable execution platform for reliable AI agents and workflows—especially if you require human-in-the-loop, automatic retries, and a managed cloud option. Choose Kratos if you're a Go-only team building cloud-native microservices with Protobuf and want to add LLM agent capabilities via the Blades framework, and you prefer a lightweight, open-source framework over a platform.
Can I use Temporal without paying?
Yes, Temporal is open-source and you can self-host for free. Temporal Cloud has a free tier, but usage-based billing applies beyond limits.
Does Kratos support languages other than Go?
No, Kratos is exclusively for Go developers.
Which tool has better AI agent support?
Temporal has more mature AI agent support with dedicated integrations (OpenAI Agents SDK, Google ADK), human-in-the-loop, and durable execution. Kratos's Blades framework is newer and Go-only.
Can I use Temporal with gRPC?
Yes, Temporal uses gRPC internally and provides SDKs that can be integrated with gRPC services, but it is not a gRPC framework per se.
Is Kratos suitable for long-running workflows?
Kratos requires you to implement your own durability and retry logic; it does not provide built-in workflow persistence like Temporal.
Which tool has better observability?
Both offer OpenTelemetry and metrics. Temporal additionally provides a full visibility UI for execution history and state, which is more comprehensive for debugging workflows.
Can I use Kratos with Temporal?
Yes, you can use Temporal's Go SDK within a Kratos service, but that's combining two tools; they are not tightly integrated.
Which tool is more production-ready?
Temporal is used by OpenAI, Replit, Cursor, and others, with enterprise-grade reliability. Kratos is also production-tested but focuses on microservices skeletons.
What else are Kratos and Temporal AI compared with?
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These are not competing products and you should not be choosing between them. Temporal is infrastructure: it keeps the code your system runs from losing progress when a worker dies or a session is aba
These aren't competitors — they're different layers of the stack. Temporal is the durability engine you reach for when executions span hours, days, or weeks and must survive crashes, retries, and aban
These aren't competitors, so there's no either/or to recommend. Pick Netlify if you need somewhere to deploy and host a fullstack web app — its Agent Runners, AI Gateway, Serverless Functions, managed
These two aren't competitors — a buyer picking Temporal AI is solving reliability of long-running agent/workflow execution, while a buyer picking lift is solving PDF/document parsing into structured d
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