mattn/sqlite3-jev on GitHub
- Stars
- 3
- Forks
- 0
- Language
- C
- License
- MIT
- Last push
- 18 Sep 2026
Read from GitHub on . Counts change daily.
mattn/sqlite3-jev
SQLite extension that calls Jev straight from SQL through jev_noul, jev_choice and jev_score, so a whole table can be classified in one query. Written in C, depends only on libcurl, and builds on Linux, macOS and Windows.
More like this
typesafe-ai/skills (official TypeSafe agent skill)
Official agent skill for Claude Code, Codex and other agent environments; installs via claude plugin marketplace add typesafe-ai/skills or npx skills add typesafe-ai/skills. MIT licensed.
jkudish/jev-mcp
MCP server that gives Claude Code, Codex, Amp, OpenCode and other agents ten Jev judgment tools, each returning typed probabilities they can branch on. The author calls it early software.
320 starsPer call 150-500 ms
Cloudflare/clef: open weights on Hugging Face
Apache 2.0 weights for Cloudflare's 27B Clef decision model, post-trained from Qwen3.8-27B, that reads text and images. The smaller 9B Clef-flash is published next to it as Cloudflare/clef-flash.
Tooltamaratran/fast-jev-compaction
Claude Code plugin that replaces the compaction summary with Jev decisions. Every tool call and result is scored in one request against the whole conversation, stale ones are dropped or truncated, and everything kept stays verbatim. Also usable as an npm library.
Tool
Laya-MLX
An independent MLX port of Laya for Apple Silicon, 13.4ms median for a short English decision and 7.4ms on the multilingual checkpoint, with a Snake demo that plays at up to 75 moves per second under 1GB of memory.
mizorewwwOpenLaya-MLX on github.com6.1k starsShort decision 13.4 ms P50Snake demo 75.4 moves/s
GLiNER2.5-Decide
Open-weights 340M-parameter decision model from Fastino Labs. It jointly decodes typed classification questions and, per Fastino's own internal benchmark, leads 9 of 17 datasets against JevK5, SemIf and Laya.
Fastino Labs (@fastinoAI)OpenGLiNER2.5-Decide on huggingface.co2.2k starsCPU latency 167 msGPU latency 38-47 ms
