jev
16 projects share this GitHub topic
Lines connect members that are measurably related to each other. Dot size reflects stars.
🧬 Members
ms-swift
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.8, DeepSeek-V4, GLM-5.1, InternLM3, Llama4,…
★ 15.9k
anything_about_game
A wonderful list of Game Development resources.
★ 4.2k
awesome-jev
A curated list of public projects, integrations, and discussions built on Jev — TypeSafe AI's System One…
★ 2.4k · GitHub ↗
contextgem
Extract structured data and insights from documents using LLMs and decision models
★ 2k
py-gpt
Desktop AI Assistant powered by GPT, Gemini, Claude, Grok, Ollama, DeepSeek, Perplexity, and more - chat,…
★ 2k
AnyJev
Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue…
★ 1.5k · GitHub ↗
reticle
AI agents can generate code, but still struggle to understand what they build. Reticle brings Jev-style…
★ 1.3k · GitHub ↗
momo-code
MOMO CODE — RSI *JEV*Pi --AI coding agent that evolves with you
★ 1.2k · GitHub ↗
dscode
A DeepSeek coding agent harness: persistent shell, Ultra subagents, auto approval, Chrome MCP and session…
★ 998 · GitHub ↗
Jev-Mem
Jev-Mem: System-One Controlled Agentic Memory
★ 227 · GitHub ↗
awesome-jev
A curated list of Jev use cases, projects, SDKs, and resources. Jev is TypeSafe AI's System One model for…
★ 195 · GitHub ↗
OneJev
🚀🚀 A multimodal System One decision model that gives calibrated answers to typed questions about…
★ 180 · GitHub ↗
doma
The open-source of DomA, an AI automation agent for the browser.
★ 145 · GitHub ↗
agent-router
CLI that picks Cursor, Claude Code, Codex, or OpenCode + model/effort for a task, then launches it. Powered…
★ 117 · GitHub ↗
JevAny
Open infrastructure for training, evaluating, and deploying System 1 decision models across language and…
★ 111 · GitHub ↗
PlayJev
🚀🚀 A 0.8B JEV-like multimodal model playing GUI games directly from raw pixels.
★ 56 · GitHub ↗
🔗 Related families
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.