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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Open Policy Agent (OPA) is an open source, general-purpose policy engine.
| Date | Stars |
|---|---|
| 2026-07-31 | 12046 |
| 2026-08-01 | 12046 |
| 2026-08-02 | 12061 |
| 2026-08-06 | 12061 |
Today
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Momentum
60.0
growth rate 0.00%/day
#  Open Policy Agent [](https://github.com/open-policy-agent/opa/actions) [](https://goreportcard.com/report/github.com/open-policy-agent/opa) [](https://www.bestpractices.dev/en/projects/1768/passing) [](https://app.netlify.com/sites/openpolicyagent/deploys) Open Policy Agent (OPA) is an open source, general-purpose policy engine that enables unified, context-aware policy enforcement across the entire stack. OPA is proud to be a graduated project in the [Cloud Native Computing Foundation](https://www.cncf.io/) (CNCF) landscape. For details read the CNCF [announcement](https://www.cncf.io/announcements/2021/02/04/cloud-native-computing-foundation-announces-open-policy-agent-graduation/). ## Get started with OPA - Write your first Rego policy with the [Rego Playground](https://play.openpolicyagent.org) or use it to share your work with others for feedback and support. Have a look at the [Access Control examples](https://play.openpolicyagent.org/?example-group=access-control) if you're not sure where to start. - Install the [VS Code extension](https://marketplace.visualstudio.com/items?itemName=tsandall.opa) to get started locally with live diagnostics, debugging and formatting. See [Editor and IDE Support](https://www.openpolicyagent.org/docs/editor-and-ide-support) for other supported editors. - Go to the [OPA Documentation](https://www.openpolicyagent.org/docs) to learn about the Rego language as well as how to deploy and integrate OPA. - Check out the learning resources in the [Learning Rego](https://www.openpolicyagent.org/ecosystem/by-feature/learning-rego) section of the ecosystem directory. - Follow the [Running OPA](https://www.openpolicyagent.org/docs/latest/#running-opa) instructions to get started with the OPA CLI locally. - See [Docker Hub](https://hub.docker.com/r/openpolicyagent/opa/tags/) for container images and the [GitHub releases](https://github.com/open-policy-agent/opa/releases) for binaries. - Check out the [OPA Roadmap](https://github.com/orgs/open-policy-agent/projects/10) to see a high-level snapshot of OPA features in-progress and planned. ## Want to talk about OPA or get support? - Join the [OPA Slack](https://slack.openpolicyagent.org) to talk to other OPA users and maintainers. See `#help` for support. - Check out the [Community Discussions](https://github.com/orgs/open-policy-agent/discussions) to ask questions. - See the [Support](https://www.openpolicyagent.org/support) page for commercial support options. ## Interested to learn what others are doing with OPA? - Browse community projects on the [OPA Ecosystem Directory](https://www.openpolicyagent.org/ecosystem) - don't forget to [list your own](https://github.com/open-policy-agent/opa/tree/main/docs#opa-ecosystem)! - Check out the [ADOPTERS.md](./ADOPTERS.md) file for a list of production adopters. Does your organization use OPA in production? Support the OPA project by submitting a PR to add your organization to the list with a short description of your OPA use cases! ## Want to integrate OPA? - See the high-level [Go SDK](https://www.openpolicyagent.org/docs/integration#integrating-with-the-go-sdk) or the low-level Go API [](https://pkg.go.dev/github.com/open-policy-agent/opa/rego?utm_source=godoc) to integrate OPA with services written in Go. - See the [REST API](https://www.openpolicyagent.org/docs/rest-api.html) reference to integrate OPA with services written in other languages. - See the [integration docs](https://www.openpolicyagent.org/docs/integration) for mo
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Would you bet a product on this? Bounded 0–100 and slow moving.
Not classified yet. Classification runs as part of npm run ingest.