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Projects built on Jev (TypeSafe AI's System One model), curated by Jev itself.
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Awesome Jev — rhc98
A directory of projects built on Jev, grouped into SDKs, integrations, agent tooling, applications and research, where each repository is classified by the model itself.
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- TypeScript
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- rhc98
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- Oct 2026
This is one of several Jev listings for the same project. The canonical entry is Awesome Jev — yibie.
About this project
Every repository here was collected from GitHub, then judged by Jev in a single call: is it genuinely about Jev, which category, which decision pattern, and how substantial, documented, and novel it is. Code applies the policy; nothing below was hand-picked. The full index with probabilities lives on the site, along with the review queue of borderline cases. This is an independent community project, not affiliated with TypeSafe AI. Jev and System One are TypeSafe AI product names.
Quoted from the project's README. Read the full README.
Works forJev for Classification
Used inJev for Software & DevTools
- Languages
- TypeScript
Highlights
- Repositories are collected from GitHub search and community lists, then judged by Jev in a single call rather than hand-picked.
- Each repository is asked four questions: is it genuinely about Jev, which category, which decision pattern, and how substantive it is.
- A companion site publishes the full index with the underlying probabilities, plus a review queue for borderline cases.
- Human overrides exist in the pipeline, so the code-level policy is not the only thing deciding what appears.
Watch out
The interesting claim is that curation is automated, and the part to read carefully is the limit of one call per repository. Jev answers four questions, code applies a fixed policy to those answers, human overrides sit on top, and borderline cases are routed to a review queue rather than decided silently. So membership is a probabilistic judgment: a thin wrapper can pass, and a genuine project can be classified as not about Jev, with no further check described. The README is long and the digest is truncated partway through the Applications section, so the closing section explaining how the list is made was not in what we reviewed. The README also states it is an independent community project and that Jev and System One are TypeSafe AI product names. Copy reviewed against the repository README on 2026-10-04, not from running it.
Questions about this entry
Short answers drawn from the linked project or page.
Selection is not a model asking itself what looks good. Repositories are collected mechanically from GitHub search and community lists, and Jev is asked four narrow questions per repository in a single call: is it genuinely about Jev, which category, which decision pattern, and how substantial, documented and novel it is. Code applies a policy to those answers, human overrides exist on top, and borderline cases land in a review queue instead of being resolved silently. The README is explicit that nothing was hand-picked.
The README says the full index with the probabilities lives on the companion site it links, alongside a review queue of borderline cases, so a category assignment is meant to be inspectable rather than just asserted. The four classification questions are named, and decision pattern is tracked separately from category. Inside the repository you get one line of description per project, which is a summary rather than the reasoning behind it.
The documented mechanism is the substantial, documented and novel part of the classification question, combined with the code-level policy and the borderline review queue. That is a ranking filter rather than a hard gate, so it should be read as one. The other thing to weigh is breadth: the categories span SDKs, integrations, agent tooling, applications, research and reimplementations, so a weak entry can survive inside a strong category.
The pipeline diagram shows GitHub search and community lists feeding candidates into code, Jev judging each repository in one call, the policy applying with human overrides, and the README and site being published daily. Nothing in the text describes a periodic manual audit of the projects themselves, so the human involvement is the override layer and the review queue. The README notes this is an independent community project and that the product names belong to TypeSafe AI.
The badges show 11,746 repositories judged and 9,216 listed as of the 2026-10-10 curation, with the full index and probabilities published on awesome-jev.xyz.
Into Official, SDKs and Clients, Integrations, Agent and Developer Tooling, Applications, Games Robotics and Simulation, Research Evals and Reimplementations, Learning, Other Lists and Other.
The README and site are published daily from the pipeline, and the curated badge carries a date, so the judged and listed counts are a snapshot rather than a live total.
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