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git clone https://github.com/urbanisierung/ai-kit ~/github.com/urbanisierung/ai-kit
# Or fork it first on GitHub, then clone your fork cp .env.example .env
# Edit .env — fill in:
# ANTHROPIC_API_KEY=sk-ant-...
# BRAVE_API_KEY=BSA_...
# XAI_API_KEY=xai-... bash tools/setup.sh
# What it does:
# → Links claude/CLAUDE.md.global → ~/.claude/CLAUDE.md
# → Links claude/skills/ → ~/.claude/skills/ # On a second machine (or after wiping ~/.claude):
git clone [email protected]:yourname/ai-kit.git
cp ai-kit/.env.example ai-kit/.env # fill in real keys
bash ai-kit/tools/setup.sh # Example: you just corrected the agent for over-wrapping in try/catch
# 1. Ask the agent to encode the rule:
"Add a rule to CLAUDE.md: never wrap internal function calls in try/catch.
Only validate at system boundaries (user input, external APIs)." /plugin marketplace add EveryInc/compound-engineering-plugin
/plugin install compound-engineering bunx @every-env/compound-plugin install compound-engineering --to gemini bunx @every-env/compound-plugin install compound-engineering --to copilot /plugin install skill-creator /plugin install superpowers@claude-plugins-official /harness-audit # Claude Code
claude mcp add brave-search -e BRAVE_API_KEY=BSA_YOUR_KEY -- npx -y @modelcontextprotocol/server-brave-search
# Gemini CLI — add to ~/.gemini/settings.json
# { "mcpServers": { "brave-search": { "command": "npx", "args": ["-y", "@modelcontextprotocol/server-brave-search"], "env": { "BRAVE_API_KEY": "BSA_..." } } } } { "mcpServers": { "deepwiki": { "command": "npx", "args": ["-y", "@deepwiki/mcp"] } } } # Get the MCP from github.com/merterbak/Grok-MCP
# Add XAI_API_KEY to your .env # Cloud (easiest — free tier available)
npx mcp-add --name mem0-mcp --type http --url "https://mcp.mem0.ai/mcp"
claude mcp add mem0-mcp --scope global
# Add to .env: # Press Shift+Tab in Claude Code to enter Plan Mode /plugin marketplace add jarrodwatts/claude-hud
/plugin install claude-hud
/claude-hud:setup /claude-hud:configure # macOS
brew install rtk
# Linux
curl -fsSL https://raw.githubusercontent.com/rtk-ai/rtk/refs/heads/master/install.sh | sh rtk init -g rtk init -g --gemini rtk init -g --codex rtk gain # Claude Code
/plugin marketplace add mvanhorn/last30days-skill
/plugin install last30days@last30days-skill
# Gemini CLI /last30days <your topic>
/last30days <your topic> --quick # faster, less depth
/last30days topic1 vs topic2 # comparative mode // In claude/settings.json
{
"hooks": {
"PostToolUse": [
{ "command": "pnpm lint 2>&1 | tail -20" } npm install -g rudel
rudel login
rudel enable npm install -g @pi-labs/cli
pi install npm:pi-self-learning /learning-month # Cloud path
# 1. Sign up at app.mem0.ai, get API key
# 2. Add to .env: MEM0_API_KEY=m0-...
# 3. Add MCP:
npx mcp-add --name mem0-mcp --type http --url "https://mcp.mem0.ai/mcp" # Arch (AUR)
yay -S jai
# From source
git clone https://github.com/stanford-scs/jai.git jai claude jai --mode strict claude # Install nvm
curl -o- https://raw.githubusercontent.com/nvm-sh/nvm/v0.40.1/install.sh | bash
nvm install 22 && nvm use 22
# Install opencode tmux new-session -s main
# Detach: Ctrl+B D
# Reconnect: tmux attach -t main [Unit]
Description=OpenCode AI Agent
After=network.target
[Service] curl -fsSL https://tailscale.com/install.sh | sh
tailscale up { "CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS": true } git clone https://github.com/bytedance/deer-flow && cd deer-flow
make config # generates config.yaml, fill in your model provider
docker compose up curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh | bash
source ~/.bashrc
hermes setup