m9m vs Temporal
Two workflow engines with different centers of gravity. m9m is a zero-infra automation runtime; Temporal is a durable execution engine for long-running workflows. When to pick each.
TL;DR. m9m and Temporal both call themselves “workflow engines” and the word means different things in each place. m9m is an automation runtime — HTTP calls, databases, LLMs, cron — optimized for breadth of integrations and zero infrastructure. Temporal is a durable execution engine — long-running, crash-resilient workflows expressed as code, optimized for correctness under adversarial conditions. Most teams need one, not both.
The core distinction
m9m: integration-heavy, short-to-medium workflows, nodes are the primitive, JSON is the authoring surface, deployed as a single binary.
Temporal: code-first, medium-to-very-long workflows, activities are the primitive, your host language (Go / Java / TS / Python) is the authoring surface, deployed as a cluster.
You could force either to do the other’s job. You’d regret it.
Side by side
| m9m | Temporal | |
|---|---|---|
| Authoring | JSON workflows + inline JS/Py + custom Go nodes | Code in Go/Java/TS/Python |
| Primitive | Node (HTTP, DB, LLM, Slack, …) | Activity (an arbitrary function) |
| Typical workflow length | seconds to hours | minutes to months |
| Durability | checkpoint per node | deterministic replay of entire history |
| Crash recovery | resume from last checkpoint | replay from event history |
| Built-in integrations | 30+ (Slack, GitHub, S3, SQL, LLMs, …) | none — you write activities |
| Agent sandboxing | first-class CLI nodes | build it yourself |
| MCP integration | built-in | build it yourself |
| Infra to run | a single binary | a cluster (frontend, history, matching, worker, DB) |
| Visual editor | minimal | — |
| Language | Go | Go / Java / TS / Python (workflows) |
| Concurrency model | N workers, cooperative | N workers, stateful with stickiness |
| License | MIT | MIT |
When m9m is the right tool
- You’re building automation: scheduled reports, webhook processing, data sync, LLM pipelines, CRM routing, PR review bots. Short runs, wide integration surface, many of them.
- You want to ship on small infra: a single binary, no cluster, no mandatory DB.
- You’re shipping agent workflows with sandboxing, MCP, and human review.
- Your team wants to express workflows as data (JSON you can version, diff, generate, and have agents edit).
When Temporal is the right tool
- You have long-running business processes — onboarding flows that span weeks, insurance claims that wait on external events, multi-stage financial operations.
- You need strong determinism guarantees: “if the process crashes at any step, the system resumes without side-effect duplication.”
- Your engineering team wants workflows as code, with full language expressiveness and tests.
- You have the operational capacity to run a cluster and treat it as critical infrastructure.
The durability story, precisely
Temporal’s durability guarantees are the sharpest in the industry. Workflows are expressed as deterministic code; a crashed worker replays the event history to reach the same state. You get exactly-once-ish semantics on activities with clear primitives for the rest. This is load-bearing for fintech, insurance, and similar domains.
m9m checkpoints between nodes: each node’s input and output are persisted, so a crashed run resumes from the last checkpoint. For seconds-to-hours workflows with idempotent nodes, this is more than enough. For workflows that run for a month and involve tens of thousands of activities, it is not the same guarantee.
The integration story
m9m ships with 30+ integrations and covers the long tail via HTTP Request and custom Go nodes. Temporal ships with zero integrations — everything is an activity you write. That’s a feature for teams who value full control, and a liability for teams who mostly want to wire SaaS APIs together.
The agent story
m9m’s CLI nodes, sandboxing, and MCP server are built for agent orchestration. Temporal can host agents (as activities), and some teams do. You’ll write the sandboxing yourself, the MCP surface yourself, and the integrations yourself. That’s the honest trade.
Can you run both?
Yes — and a handful of teams do. Temporal sits underneath for the long-running durable orchestration; m9m handles the automation layer above it, including all the integration plumbing and agent workflows. They don’t compete so much as sit at different levels of the stack.
When the choice is obvious
- “We have 50 n8n-shaped workflows” → m9m.
- “We’re onboarding customers in a 14-stage flow that must be exactly-once across external systems” → Temporal.
- “We’re shipping an AI agent product with sandboxing and human review” → m9m.
- “We’re building a payments platform and need durable sagas” → Temporal.
Related
Need help shipping agents or migrating off n8n?
Neul Labs — the team behind m9m — takes on a limited number of consulting engagements each quarter. We help teams migrate n8n workflows, build custom Go nodes, sandbox AI agents in production, and design automation platforms that don't collapse under load.