KeepState and Temporal
The job
Temporal is a mature workflow engine: you restructure your logic into workflows and activities, and its event-sourced replay makes that logic survive process loss. KeepState never sees your code; it checkpoints the entire micro-VM your agent runs in, memory and processes included.
The boundary
These tools solve different parts of running agent work. This page compares the relevant boundary, not every feature. These are different layers, so the comparison is about which layer your failure lives in.
Each row below carries two things it did not get from memory: what this page says about Temporal, with the official source it came from and the date that source was last checked, and the KeepState side with its exact deployment and access state from the generated capability record (tested release v0.1.26, as of 2026-10-23). Where the answer is that Temporal is the better fit, the row says so.
Where Temporal is sufficient
If the durability problem lives in code you own, Temporal is the more established answer and needs no new machine layer underneath it.
Your durability problem is in code you own and can restructure into deterministic workflows: order pipelines, sagas, retries, timers.
You need a proven, operated-at-scale system today, with a large community, managed cloud, and years of production history.
Your units of work are short activities where replay-from-history is cheap and natural.
You need horizontal scale across many workers, which is the shape Temporal is built for.
Where KeepState may add value
The thing that must survive is a full interactive environment: an AI agent mid-task with open files, running processes, a shell, and model-call state that cannot be re-derived by replaying handlers.
You cannot restructure the workload: the agent is third-party code (Claude Code, aider) that you are not going to rewrite as workflow activities.
You want the tokens already bought to stay bought when the process dies: the gateway replays the interrupted call from its store instead of re-purchasing it.
You can hold a young system to its published gate evidence rather than needing years of production maturity behind it.
Compare every dimension
| dimension | Temporal | KeepState |
|---|---|---|
| Unit of durability | A workflow execution: event history replayed against deterministic code. Source: Temporal documentation, checked 2026-08-26 | A whole micro-VM: memory, disk overlay, and device state frozen atomically. Evidence: proven in the stated test. Deployment: enabled in production. Access: self-serve. Release v0.1.26, as of 2026-10-23. current state · proof |
| Code changes required | Substantial: logic becomes workflows and activities under determinism constraints. Source: Temporal documentation, checked 2026-08-26 | None to the agent; it runs unmodified inside the guest. Evidence: proven in the stated test. Deployment: enabled in production. Access: self-serve. Release v0.1.26, as of 2026-10-23. current state · proof |
| Maturity | Production-proven for years at large scale. This row is not close, and we say so. Source: Temporal documentation, checked 2026-08-26 | A hosted fleet carrying sessions today, with gate evidence published for every claim; the production record is short by years and this row says so. Evidence: proven in the stated test. Deployment: enabled in production. Access: self-serve. Release v0.1.26, as of 2026-10-23. current state |
| AI-agent fit | Works when the agent logic is yours to restructure; model-call nondeterminism must be wrapped. Source: Temporal documentation, checked 2026-08-26 | Built for exactly this: interrupted model calls are absorbed by the gateway. Evidence: proven in the stated test. Deployment: proven, not enabled in production. Access: limited access. Release v0.1.26, as of 2026-10-23. current state · proof |
| Fan-out | Horizontal scale across many workers, which is the shape it is built for. Source: Temporal documentation, checked 2026-08-26 | Fork a checkpoint into diverging branches. Creation and isolation are proven at three branches; useful work inside branches is not claimed yet. Evidence: proven in the stated test. Deployment: enabled in production. Access: self-serve. Release v0.1.26, as of 2026-10-23. current state · proof |
| Operations | Self-host a cluster or use Temporal Cloud. Source: Temporal Cloud, checked 2026-08-26 | Hosted and self-serve: nothing for you to operate. Evidence: proven in the stated test. Deployment: enabled in production. Access: self-serve. Release v0.1.26, as of 2026-10-23. current state |
Current integration status
No integration or partnership exists between the two products today. They do compose in design: Temporal can orchestrate the outer business process (approvals, schedules, retries between systems) while a KeepState session holds the durable agent doing the open-ended work inside one step. Nothing in either system prevents the pairing; nobody has gated the pairing either, so treat that sentence as design, not proof.
Sources for what this page says about Temporal: Temporal documentation, checked 2026-08-26 · Temporal Cloud, checked 2026-08-26. Naming a product here implies no partnership, integration, endorsement or compatibility in either direction. What KeepState claims about itself carries its own evidence; what this page says about another product is an observation with a date, and a wrong sentence is a finding we will fix.
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