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Temporal vs Inngest. Rows marked Differs have different values.

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Temporal

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TypeStartupStartup
Categories
In one lineDurable execution for long-running agent workflows.Durable functions and workflows for AI agents.
Stage & fundingDiffers$430M total · $300M Series D (Feb 2026) at $5B valuation—
GitHub stars——
License——
Language——
Last push——
Works with——
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Similar toDiffers
People linked22
Events00
Pros
  • MetadataMature, MIT-licensed durable-execution engine descended from Uber's Cadence, with about 24K GitHub stars and active development.[1][2]
  • DocsEvent history lets a crashed agent resume from its last recorded decision instead of starting over.[1]
  • User reportsPractitioners use it as the main building block for multi-step agents and value its real-time view of running workflows.[1][2]
  • User reportsOne team chose it over Temporal because it is much simpler to operate.[1]
  • User reportsDurable at the step level: builders say failed steps retry from that step rather than from scratch, which helps multi-step LLM pipelines that hit rate limits.[1][2]
  • DocsSelf-hosting has been supported since 1.0: a single server that defaults to SQLite and in-memory Redis, and can scale horizontally with external Postgres and Redis.[1]
  • User reportsA competitor's comparison recommends it for agents deployed on serverless platforms such as Vercel.[1]
Cons
  • Independent testThere is a real learning curve around determinism and where to draw the workflow/activity line, and existing agent loops must be restructured to fit.[1]
  • DocsSelf-hosting means operating several Temporal cluster services, a persistence database and your own workers, and the main hidden cost is engineering time.[1][2]
  • DocsTemporal Cloud bills per action with a monthly minimum, which gets expensive for chatty, LLM-heavy agents.[1][2]
  • Independent testLarge LLM prompts and responses can saturate workflow history, which has size limits, forcing payload codecs that offload to external storage.[1]
  • MetadataThe server is licensed under the SSPL, converting to Apache-2.0 three years after release, so it is source-available rather than OSI open source.[1]
  • DocsEvery step counts as an execution (a run with 5 steps uses 6), and the free tier allows 50k executions, 5 concurrent steps and 24 hours of trace history.[1]
  • DocsThe single-node 'inngest start' mode is marked [Beta], and Inngest does not guarantee support for self-hosted instances.[1]
  • User reportsAt least one user called it 'unfortunately not very reliable'.[1]
  • User reportsThe cloud product sends your workflow data to Inngest, a point a competitor raised.[1]
Best forTeams running long-lived, crash-safe agent workflows that already have platform engineers to operate them.TypeScript and serverless teams that want durable, step-based agent workflows without running Temporal.
Watch out forThe determinism model and history-size limits when moving an existing agent loop onto Temporal.Count steps, not runs, when you price it, and read the SSPL before self-hosting commercially.
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