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Trending
GitHub metadata from 2026-11-04.
Rising this week
Stars gained since the oldest snapshot of the last seven days.
- 01jev-ultrafastOne request picks both the operation and the target element from an indexed DOM table; a small LLM only writes typed text. Zürich to London booked in 7.1 seconds.
- 02jevgrep by dzhngFinds the files, declarations, and verbatim excerpts a coding agent needs by asking Jev which declarations answer a plain-language question about the repo.
- 03kevLoRA adapter and readout head on Qwen2.5-0.5B that answers many typed questions in one prefill; trains in under two hours on a MacBook, held-out ECE 0.065, speaks the TypeSafe wire format.
- 04eveVercel's agent framework; Jev is the typed judge in its evaluate step.
- 05AnyJevTurns an open Hugging Face model into a calibrated decision endpoint served through vLLM, with no fine-tuning at the first two levels.
- 06hermes-jev-skillsHands an agent's small decisions to Jev: which model answers the turn, which skills to load, which passages matter, which turns survive compaction.
- 07ai-cliThe Vercel AI SDK in your terminal, with an evaluate path that runs on Jev.
- 08fast-jev-compactionReplaces the compaction summary with Jev decisions: every tool call and result scored in one request, stale ones dropped, everything kept stays verbatim.
- 09skillsAgent skills for designing questions, building workflows, and evaluating them.
- 10jev-seo by AgriciDanielCrawls a site, checks it against 52 SEO rules, has Jev judge every page, and writes PDF, spreadsheet, and Markdown reports.
- 11pg-jevPostgreSQL extension that answers plain-language questions about your tables.
- 12SemIfSemantic ifs from open models on a single 3090; the most starred independent replica, formerly openjev.
Most starred
Every GitHub-hosted project on the list, by star count.
- 01jev-ultrafastOne request picks both the operation and the target element from an indexed DOM table; a small LLM only writes typed text. Zürich to London booked in 7.1 seconds.
- 02kevLoRA adapter and readout head on Qwen2.5-0.5B that answers many typed questions in one prefill; trains in under two hours on a MacBook, held-out ECE 0.065, speaks the TypeSafe wire format.
- 03fast-jev-compactionReplaces the compaction summary with Jev decisions: every tool call and result scored in one request, stale ones dropped, everything kept stays verbatim.
- 04eveVercel's agent framework; Jev is the typed judge in its evaluate step.
- 05SemIfSemantic ifs from open models on a single 3090; the most starred independent replica, formerly openjev.
- 06jevgrep by dzhngFinds the files, declarations, and verbatim excerpts a coding agent needs by asking Jev which declarations answer a plain-language question about the repo.
- 07jev-traderOne trade decision every Monad block, on Kuru MON-USDC, about 300 ms each.
- 08skillsAgent skills for designing questions, building workflows, and evaluating them.
- 09NanoJev0.6B replica with parallel decisions, dynamic candidates, and an end-to-end training pipeline.
- 10pi-mcp-adapterOpt-in typed evaluation and semantic search over MCP tool results, behind a per-server data-egress allowlist.
- 11AnyJevTurns an open Hugging Face model into a calibrated decision endpoint served through vLLM, with no fine-tuning at the first two levels.
- 12ollayaPulls and serves open decision models such as Laya, kev, and JevK5 behind a TypeSafe-compatible local endpoint, the way Ollama serves LLMs.
Recently pushed
Last commit to the default branch, as GitHub reports it.
- 01quackdCommand line for LLM-piloted robots across seven bodies, with an optional Jev stepper that picks among calls without ever writing a joint angle.
- 02eveVercel's agent framework; Jev is the typed judge in its evaluate step.
- 03cultivarPinecone's skill-testing CLI, with a Jev grading backend it reports at about 30 times cheaper than the LLM grader.
- 04neurolinkTypeScript AI SDK where decide, via Jev, is a peer of generate and stream: one typed-judgment call routes model choice, prunes context, and picks MCP tools.
- 05OneJevOpen multimodal System One model, 0.8B to 27B, for screenshots, photos, video and text.
- 06muCoding agent and desktop app built on Pi that hands 38 routine decisions to Jev, from which tool output enters the context to prompt-injection screening and checking a "done", each one switchable between active, shadow and off with every verdict in a local ledger; pre-release.
- 07typesafeai-dotnet-sdkCommunity .NET SDK with typed Noul, Choice, and Score questions.
- 08ValenMultimodal decision model on Qwen3.5 that scores candidates against images and video as well as text, with training code and open weights.
- 09pi-mcp-adapterOpt-in typed evaluation and semantic search over MCP tool results, behind a per-server data-egress allowlist.
- 10pi-wardenGuardrails that steer instead of interrupt: irreversible calls, off-task calls, stuck loops, unverified done claims, about 250 ms each.
- 11trade-jevBacktests Jev as a buy, sell, or hold trader on NQ order-book data.
- 12ai-cliThe Vercel AI SDK in your terminal, with an evaluate path that runs on Jev.
New this month
First time each entry appeared in the readme.
- 01muCoding agent and desktop app built on Pi that hands 38 routine decisions to Jev, from which tool output enters the context to prompt-injection screening and checking a "done", each one switchable between active, shadow and off with every verdict in a local ledger; pre-release.
- 02OneJevOpen multimodal System One model, 0.8B to 27B, for screenshots, photos, video and text.
- 03building-with-typesafe-jevSkill that packs the Choice, Score, and Noul API shapes, confidence thresholds, and 150+ community projects with a code sketch each, so an agent can design without fetching the docs.
- 04jev-skill-routerHook that asks Jev which installed skill fits each prompt and logs the answer; in the author's week of shadow mode, 28 of 539 suggestions were followed by a call of that skill, and the author then removed it.
- 05Jev RAGSearches local documents with BM25 or hybrid retrieval, reranks candidate passages with batched Jev Noul judgments, and measures seven retrieval pipelines on BEIR NFCorpus.
- 06WaterSheepOpen-weight ModernBERT-base fine-tune that answers Noul, Choice, Score, and multi-label questions with a probability per option, serves `/v1/systemone` for the official Python SDK, and runs in the browser through ONNX; independent replica, not TypeSafe weights.
- 07JevSpanZero-shot named entity recognition for Chinese and English: code proposes candidate spans at punctuation and Jev choice questions nominate, verify, and fix the boundary of each entity; reports 73.7 average strict F1 on 12 NER benchmarks against 72.1 for Qwen3.8-27B.
- 081 Million EmojisShared 1000 × 1000 emoji canvas where Jev joins each stroke with one Choice over named emoji and square pairs, its pick sampled from the probabilities; [paint on it](https://chriswijnia.com/lab/emoji).
- 09Jev in the WildSurveys 2,170 public Jev projects and maps early growth, application domains, and how Choice, Noul, and Score support different decisions.