Agentspan vs Temporal AI
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Agentspan | Temporal AI |
|---|---|---|
| Pricing | Free (open source, self-hosted; cloud via Orkes Cloud paid) | Freemium (pay-as-you-go cloud, free self-hosted open source) |
| Core Value | Durable execution runtime for AI agents that survives crashes | Durable execution platform for reliable AI agents and workflows |
| Best For | Production engineers needing crash-resistant agent deployments; wrapping existing agents with durability | Teams building reliable AI agents that survive crashes and retries; multi-step microservices orchestration |
| Deployment | Self-hosted (open source) via Conductor; managed via Orkes Cloud | Self-hosted (open source) or managed cloud (Temporal Cloud) |
| Key Integration | LangGraph, OpenAI Agents SDK, Google ADK, Vercel, Slack, Docker, Helm, Anthropic Claude, OpenAI GPT-4o, Google Gemini | OpenAI Agents SDK, Google ADK, Slack, NVIDIA GPU fleet, Salesforce, Twilio, Braintrust, Docker, Kubernetes, Azure |
| Human-in-the-Loop | Built-in via @tool(approval_required=True) decorator | Signals and pause/resume |
Temporal AI is the mature, battle-tested durable execution platform with cloud option, richer SDKs, and enterprise integrations — ideal for teams needing reliability at scale. Agentspan is a leaner, Python-first open-source runtime that focuses on crash-resilient AI agents with simpler HITL, best for engineers who want to retrofit durability into existing agent frameworks like LangGraph, OpenAI SDK, or Google ADK.
Open-source durable execution for AI agents that survive crashes and resume seamlessly.
Visit Website
Durable execution platform keeping AI agents and workflows running through failures with automatic state capture and retries.
Visit WebsiteWho should pick which
- Solo founder building a crash-resistant AI agentPick: Agentspan
Agentspan's simplicity, native Python support, and one-line wrappers for existing SDKs lower the barrier. No cloud dependency needed — self-host for free.
- Enterprise team orchestrating multi-step microservices with rollbacksPick: Temporal AI
Temporal's Saga pattern, multiple SDKs, and integrations with Salesforce, Twilio, and Kubernetes make it enterprise-ready. Temporal Cloud reduces ops burden.
- Developer wrapping LangGraph agents with durabilityPick: Agentspan
Agentspan provides one-line wrappers specifically for LangGraph, OpenAI Agents SDK, and Google ADK, making it a drop-in durable layer.
- AI team needing human approval steps in workflowsPick: Temporal AI
Temporal's signals and pause/resume offer fine-grained human-in-the-loop control, suitable for complex approval workflows. Agentspan's decorator approach is simpler but less flexible.
Frequently Asked Questions
Agentspan vs Temporal AI: which should you choose?
Temporal AI is the mature, battle-tested durable execution platform with cloud option, richer SDKs, and enterprise integrations — ideal for teams needing reliability at scale. Agentspan is a leaner, Python-first open-source runtime that focuses on crash-resilient AI agents with simpler HITL, best for engineers who want to retrofit durability into existing agent frameworks like LangGraph, OpenAI SDK, or Google ADK.
Which is easier to get started with for a Python developer?
Agentspan is simpler — just pip install and use the Python Agent class or one-line wrappers. Temporal requires learning workflow/activity concepts and has more SDKs, but is well-documented.
Do both support open-source self-hosting?
Yes. Temporal is open-source under MIT license; Agentspan is Apache 2.0 and built on Conductor (also open-source).
Can I use Temporal without paying for cloud?
Yes, you can self-host the Temporal Server for free (open source). The cloud is pay-as-you-go but optional.
Which has broader SDK language support?
Temporal supports Python, Go, TypeScript, Ruby, C#, Java, PHP, and Rust (public preview). Agentspan primarily supports Python via its SDK.
Does Agentspan require Conductor to run?
Yes, Agentspan runs on top of Conductor as its orchestration backend. You can self-host Conductor or use Orkes Cloud.
Which is better for long-running workflows with many retries?
Temporal is natively built for long-running, fault-tolerant workflows with automatic retries and timeouts. Agentspan provides per-step retries but is optimized for agent execution rather than arbitrary long-running processes.
Is there a managed cloud option for both?
Temporal offers Temporal Cloud (managed). Agentspan relies on Orkes Cloud (managed Conductor) for a cloud option, but it's not directly from Agentspan.
More Agentspan or Temporal AI comparisons
If you need to catch and fix production errors with AI-assisted root cause analysis and auto-remediation, Sentry is the right choice. If you're building AI agents or multi-step workflows that must sur
If you need to build reliable AI agents or durable multi-step workflows that survive failures, choose Temporal AI. If your primary need is API design, testing, and management with modern AI assistance
Temporal AI and Jira serve entirely different purposes. Temporal is a durable execution engine for building fault-tolerant AI agents and workflows, while Jira is an agile project management tool. Choo
Choose Temporal AI if your priority is rock-solid durability for long-running, stateful AI agents and microservices orchestration, especially where automatic retries and human-in-the-loop are critical
Pick Netlify if you need to deploy and host web applications fast, with built-in AI agent integrations and a database—perfect for prototyping and shipping. Choose Temporal AI if you're building missio
Temporal AI and Lift address completely different problems — durable orchestration vs. document parsing. If you're building AI agents or multi-step workflows that must survive failures, Temporal is th
Explore each tool further
Browse these categories
One email a week — new tools, honest comparisons, no spam.
Last reviewed: July 6, 2026