100% 로컬 AI 코딩 에이전트 — Antigravity/VS Code/Cursor에서 오프라인으로 파일 생성, 코드 편집, 터미널 실행. Ollama 기반.
Copy the install, test the workflow, then decide if it earns a permanent slot.
The signal is softer here. Treat it like a pattern source unless it solves a very specific gap.
Copy the install, test the workflow, then decide if it earns a permanent slot.
You can test this quickly and remove it cleanly if it misses.
GitHub health 42/100. no security policy. 5 open issues make this testable, but not something to trust blind.
AI Agent
Cursor AI
Model
Llama
Fastest way to find out if connect-ai belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
git clone https://github.com/wonseokjung/connect-ai && cd connect-ai && cat README.mdRun this first. You will know quickly if the workflow earns a permanent slot.
rm -rf connect-aiNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
./ └─ connect-ai/ ← clones here
100% 로컬 AI 코딩 에이전트 — Antigravity/VS Code/Cursor에서 오프라인으로 파일 생성, 코드 편집, 터미널 실행. Ollama 기반.
Source: GitHub repository
Source check: July 23, 2026
Upstream commit: July 7, 2026
Repository state: Not marked archived
Honeystax upvotes are community interest signals, not star ratings. GitHub stars and repository health are source measurements; editorial risk and trial-cost notes are Honeystax analysis.