Setup OpenClaw 2.0 with Gemini in Under 60 Seconds

Five commands, zero fluff: install OpenClaw 2.0 (v2026.8.1), link Gemini 3.8 Flash, our fastest (up to +300 token/sec) agentic model for coding and agents, and start chatting with live Google search grounding in under a minute. What is OpenClaw 2.0? OpenClaw is a personal AI assistant that actually does things. It runs on your devices, in your chats, with your rules. Chat from anywhere: Chat from the browser Control UI, Telegram, Discord, WhatsApp, or Slack. Integrated tooling: Browser automation, terminal execution, filesystem access, and web search grounding. Remember: Keeps memory across sessions so it knows your preferences, projects, and people. OpenClaw 2.0 (v2026.8.1) is the largest update yet: simpler install, a rebuilt browser app that opens straight into a conversation, and setup you can finish by talking to your Claw. Full notes: v2026.8.1. Prerequisites Node.js: Node 26 (recommended) or Node 22.22.3+ / 24.15+ (node --version). Gemini API Key: Grab a free key from Google AI Studio. 1. Install OpenClaw 2.0 Install OpenClaw globally via npm: Bash npm install -g openclaw@2026.8.1 Verify your installation: Bash openclaw --version # Output: OpenClaw 2026.8.1 (ea80657) 2. Configure Gemini Authentication Export your Gemini API key in your current shell: Bash export GEMINI_API_KEY="your-gemini-api-key-here" To persist it into OpenClaw's local profile store: Bash openclaw onboard --non-interactive --accept-risk --skip-health \ --mode local \ --auth-choice gemini-api-key \ --gemini-api-key "$GEMINI_API_KEY" (Note: You can safely ignore any onboarding tip about configuring a Brave API key—Gemini's built-in Google Search grounding is used automatically.) 3. Set Gemini 3.8 Flash as Default Set Gemini 3.8 Flash as the default agent model: Bash openclaw models set google/gemini-3.8-flash (Note: If OpenClaw displays a warning that the model is not in the local catalog, it is safe to ignore. The model is dynamically resolved and validated against Google AI Studio in the next step.) Verify model discovery and authentication status: Bash openclaw models list --provider google 4. Test Inference via CLI Run a standalone agent turn in your terminal: Bash openclaw agent --local --agent main --message "Hello! What model are you running?" Output: I am currently running on google/gemini-3.8-flash. What would you like to call me? 5. Start the Gateway & Launch Control UI Set the gateway to local mode and start it: Bash openclaw config set gateway.mode local openclaw gateway run (To run as a persistent background daemon instead: openclaw gateway install && openclaw gateway start. To stop it: openclaw gateway stop --force) Open the Control UI in your browser: Bash openclaw dashboard The browser will open to http://127.0.0.1:18789/ authenticated with your local session token: Next Steps Google Search Grounding (Enabled by Default) Google Search grounding is enabled by default when GEMINI_API_KEY is present. No extra configuration or search keys are required. Test it directly via CLI: Bash openclaw capability web search --query "Latest gemini models" In chat sessions, Gemini autonomously runs web searches with citations whenever fresh context is needed. See: Google Search Grounding in OpenClaw Leveraging Other Gemini Capabilities Image Generation: Set Google's image model using openclaw models set-image google/gemini-3.1-flash-image. Video Generation: Generate 4–8s videos with google/veo-3.1-fast-generate-preview. Music Generation: Prompt-driven music via google/lyria-3-clip-preview. Text-to-Speech: Gemini batch TTS with natural language style prompting (gemini-3.1-flash-tts-preview). Realtime Voice: Low-latency bidirectional voice streams via Gemini Live API (gemini-3.1-flash-live-preview). Full Google Documentation. Connecting Chat Channels Connect your Gemini assistant to your favorite messaging apps using simple CLI commands: Browse all channels: openclaw channels list --all Interactive setup: openclaw channels add Telegram: openclaw channels add --channel telegram --token "<BOT_TOKEN>" WhatsApp (QR code): openclaw channels login --channel whatsapp Discord: openclaw channels add --channel discord --token "<BOT_TOKEN>" Verify channel status: openclaw channels status --probe Full Chat Channels Documentation.