GitHub - thruwire/foreman: Software factory foreman based on TypeSafe's Jev model
Foreman Foreman watches the software factory floor with TypeSafe AI's Jev , placing a fast decision model above slower coding agents. Give it a ticket, specification, bug report, or any free-form software job. A Codex or OpenCode worker does the software
GitHub - realZachi/pg-jev: Ask your Postgres tables questions in plain language. A PostgreSQL extension powered by TypeSafe's Jev.
jev — ask your Postgres tables questions in plain language Write the condition the way you would say it. Postgres does the rest. jev lets you filter, rank and classify rows with plain-language conditions. Every row is judged by TypeSafe's Jev , a System One
GitHub - tamaratran/fast-jev-compaction: Claude Code plugin that replaces the compaction summary with Jev decisions: every tool call and res
fast-jev-compaction Claude Code plugin that replaces the compaction summary with Jev decisions: every tool call and result is scored in one fast request, stale ones are dropped or truncated, everything kept stays verbatim. Also usable as an npm library. What
skills/deslop/SKILL.md at main · stephenturner/skills
name deslop description Remove AI writing patterns from prose. Use this skill when writing, drafting, editing, reviewing, or revising any text to eliminate predictable AI tells, slop, and formulaic patterns. Trigger this skill whenever the user asks to
GitHub - unslothai/unsloth: Local UI to run and train LLMs and diffusion models. Supports GGUF, MLX, Qwen3.8, DeepSeek-V4, MiniMax-H3, Gemma
Unsloth is the first desktop app to run and train models. Features • Quickstart • Notebooks • Documentation ⚡ Get started Download the native Unsloth Desktop app for your operating system: Platform Link Windows Download macOS Download Linux x64 / Ubuntu (deb)
GitHub - awlevin/typesafe-computer-use: Computer use for about $0.0002 a step: OCR the screen, classify the next action with TypeSafe, click
typesafe-computer-use drives a Mac toward a goal you type in plain English, for about a fiftieth of a cent per step. It never sends a screenshot to a big model. Instead it reads the screen deterministically, asks a small classifier which action comes next,
GitHub - MrJev/awesome-jev: A curated list of projects, integrations, and resources for Jev, TypeSafe AI's System One model.
Awesome Jev A curated list of projects, integrations, and resources for Jev, TypeSafe AI's System One model: typed decisions with calibrated confidence instead of text. Jev answers structured questions ( Choice , Score , Noul ) about program state in a single
GitHub - fhshaik/typesafe-mario: A TypeSafe/Jev agent that plays Super Mario Bros. from structured emulator state.
TypeSafe Mario An experimental controller that lets TypeSafe's Jev model directly choose NES controller inputs for the original Super Mario Bros. The model does not receive screenshots. The harness translates emulator telemetry and RAM into compact,