Cleric AI SRE alternative: Operate, self-hosted and read-only
Updated 7 October 2026
Cleric's AI SRE and Operate share a principle: investigate production issues, then leave the decision to a person. Cleric describes its product as "agents that check every production change, then fix regressions before customers notice", and says it is "read-only by default" (cleric.ai).
Operate is the alternative when read-only has to be permanent and the investigation has to run inside your own infrastructure. It reads your logs, database and code, and hands an engineer a patch file.
Operate vs Cleric at a glance
| Operate | Cleric | |
|---|---|---|
| Production and code access | Read-only adapters, including repository access. It can't commit, open pull requests, merge or deploy | "Read-only by default"; integrations get "read access by default, write access when you're ready" |
| How a fix arrives | A .patch file an engineer reviews and applies | "the cause, the evidence, and a fix PR to review", then it checks the issue is resolved after the fix deploys |
| What it watches | Alerts and errors, around the clock, plus questions asked in chat | "every production change"; on-call, where it "dismisses false positives and fixes every confirmed issue" |
| Where it runs | A Docker image in your own infrastructure. No new cloud accounts, no SaaS endpoints | Self-hosting is not stated. Its pricing page lists a Cleric Connector you run inside your network to reach approved private endpoints |
| Compliance statements | Security controls listed on /security | "SOC 2 Type II compliant, with regular manual penetration testing" |
| Pricing | $99/month plus usage, published on operatex.dev | Plans from $700/month (1,400 credits); an investigation costs 10 credits at $0.50 each (pricing) |
| Trial | Self-serve sign-up | "500 evaluation credits · No time limit" |
How Cleric works, in its own words
Cleric's homepage centres on change verification. After a release ships, it checks each change in production and, if one causes a regression, it brings "the cause, the evidence, and a fix PR to review". It also takes on-call work, closing false positives and investigating confirmed issues.
Its pricing page is credit-based: 2 credits to check a change, 10 credits to investigate an issue, and $0.50 per credit on monthly plans. Plans run from Team at $700/month to Scale at $3,000/month, with custom Enterprise pricing.
How Operate works
Operate is the self-hosted AI SRE we build. Four AI agents read your logs, database and code to work out what broke and why, and a second AI model checks every answer before anyone sees it.
It runs as a Docker image alongside your app, with read-only access to everything it connects to. It watches alerts and errors on its own, and anyone on the team can ask it a question from Slack, MS Teams or another chat tool. Every investigation ends at a .patch file. An engineer reviews the evidence, applies the patch and decides what ships. See how Operate keeps your environment safe.
When Cleric is the stronger fit
- You want every deploy verified in production, with fix pull requests prepared for review.
- You want a vendor that states SOC 2 Type II compliance on its homepage.
- You are comfortable granting write access to integrations later, once you trust the results.
When Operate is the stronger fit
- Your policy forbids any AI write path to production or repositories, even an optional one. Operate has none.
- Investigation data has to stay in your network. Operate is self-hosted, and you can pair it with a self-hosted model.
- You want a flat $99/month subscription with token usage billed at published rates, rather than credits per task.
Other Cleric alternatives to compare
- Resolve AI: an AI SRE that takes on-call and mitigates alerts.
- Traversal: read-only by default, with bring-your-own-cloud and bring-your-own-model options.
- Rootly AI SRE and Datadog Bits AI SRE: AI SREs built into an incident platform and an observability platform.
- All of them side by side: the best AI SRE tools, compared.
Sources
Checked on 7 October 2026.