Crow — a local AI agent, not a chat box: 30 tools, MCP, memory, skills, goals, subagents, vision, and image generation and editing with Qwen-Image. Runs on crow-nest or llama.cpp on one GPU, or any model via OpenRouter. Windows and Linux.
Last commit October 23, 2026, 21 days ago.
37 GitHub stars and 0 Honeystax upvotes. Copy the install, test the workflow, then decide if it earns a permanent slot.
Reasonable to try, but it will take more than a quick skim to get real signal.
Starts at 6. Added: GitHub health not measured +10, no security policy +8, no contributing guide +4, no code of conduct +3.
AI Agent
Universal
Model
Llama
Fastest way to find out if Crow 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/nibor1896/Crow ~/.claude/agents/crow-3Run this first. You will know quickly if the workflow earns a permanent slot.
rm -rf ~/.claude/agents/crow-3No messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ skills/ ├─ agents/ │ └─ crow-3/ ← installs here └─ settings.json
Crow is listed on Honeystax as an Agent for Universal, since October 3, 2026. Its code is at github.com/nibor1896/Crow, with 37 GitHub stars. Last commit October 23, 2026, 21 days ago.
Source: GitHub repository
Source check: October 23, 2026
Upstream commit: October 23, 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.