AbdelStark/awesome-typesafe

A curated list of official resources and community projects for TypeSafe, System One models, and Jev.

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[](https://awesome.re) [](https://abdelstark.github.io/awesome-typesafe/) [](https://github.com/AbdelStark/awesome-typesafe/actions/workflows/checks.yml) [](LICENSE) TypeSafe's Jev returns typed, probabilistic decisions instead of generated text. This list focuses on the things you can use to understand that model shape, build with it, test its limits, and reproduce community experiments. Independent community project. This repository is not affiliated with or endorsed by TypeSafe AI. Community entries are labeled by section; inclusion is not a claim that TypeSafe has reviewed or approved them. Last reviewed: 2026-09-17. Jev and its ecosystem are moving quickly; please open a pull request when something changes. Community projects are independent unless their repository says otherwise. Read the code, licenses, data-handling notes, and evaluation…

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Read the full README ↗ · Preview checked 2026-09-20T14:30:44.791Z

Inside the original README — Document outline
  1. Awesome TypeSafe
  2. Contents
  3. Start here
  4. Official resources
  5. Product and documentation
  6. SDKs and developer tools
  7. Concepts, patterns, and cookbooks
  8. Research and writing
  9. Community and updates
  10. Community projects
  11. Client libraries and integrations
  12. Agent and developer tooling

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Documentation belongs to its respective authors. Reported project/model license: MIT. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.

What this repository does

A curated list of official resources and community projects for TypeSafe, System One models, and Jev.

Repository facts

Owner
AbdelStark
Primary language
CSS
Stars
407
Forks
65
Open issues + pull requests
2
License
MIT
Archived
No
Default branch
main
Created
2026-09-17T06:56:37.000Z
Last push
2026-09-21T06:39:12.000Z

Topics and intended use

Owner-supplied topics: ai-agents, awesome-list, jev, llm, machine-learning, structured-output, system-one-models, typesafe

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README and project files

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Source: GitHub. Metadata observed 2026-09-21T06:41:42.808Z. Daily imports are snapshots, not real-time monitoring.

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