version: 0.8.0 feature_pitch: headline: "Your AI can answer the phone now" description: "WebRTC works in a browser tab, phone number optional. Your agent picks its own name and personality." recipe: twilio-voice-brain tiers: - name: webrtc-local label: "Try voice locally (browser only)" prerequisites: [node, openai-key] env: local - name: webrtc-remote label: "Voice from anywhere (browser + tunnel)" prerequisites: [node, openai-key, ngrok] env: server - name: phone label: "Real phone number" prerequisites: [twilio-account] cost: "~$20/mo"

v0.8.0 Migration: Voice-to-Brain Production Patterns + Remote MCP Simplification

This migration introduces the voice-to-brain feature discovery flow and updates the remote MCP deployment path.

What's New

Voice-to-Brain v0.8.0

The voice recipe now includes 21 production patterns from a real deployment: identity separation, pre-computed engagement bids, context-first prompts, proactive advisor mode, prompt compression, caller routing, dynamic VAD, post-call processing with audio recording, and report-aware query routing.

WebRTC works out of the box with just an OpenAI key. A phone number via Twilio is optional.

Remote MCP Simplified

The Supabase Edge Function deployment path has been removed. Remote MCP now uses a self-hosted server + ngrok tunnel. Simpler, more reliable, works with any AI client.

Agent Instructions

Step 1: Check if voice-to-brain is already installed

ls ~/.gbrain/integrations/twilio-voice-brain/heartbeat.jsonl 2>/dev/null

If the file exists: "Voice is already set up from a previous install. Skipping." Proceed to Step 6.

If not: proceed to Step 2.

Step 2: Detect environment

Check for indicators of server vs local deployment:

Is there an ngrok or cloudflared process running? (pgrep -f ngrok or pgrep -f cloudflared)
Is there a public URL configured in ~/.gbrain/config.json?
Is the OS Linux (likely server) or macOS (likely local)?

Server (OpenClaw/Hermes on Render/Railway): use 2-tier flow (WebRTC remote, then phone) Local (macOS with PGLite brain): use 3-tier flow (WebRTC local, then remote, then phone)

Step 3: Pitch voice to the user

Tell the user:

"v0.8.0 adds Voice — your AI can answer phone calls and create brain pages from every conversation. Your agent picks its own name, knows who's calling, and greets them with context from the brain.

[If server]: WebRTC works with your existing tunnel. Just needs an OpenAI key. [If local]: WebRTC works right in your browser. Just needs Node + OpenAI key.

Want me to set up voice? (yes / not now)"

If the user says "not now" or declines: "No problem. You can set up voice anytime with gbrain integrations show twilio-voice-brain." Skip to Step 6.

Step 4: Environment-appropriate setup

Server — Tier 1: WebRTC remote

Read recipes/twilio-voice-brain.md and execute:

Step 1 (prerequisites check)
Step 2, Credential 2 only (OpenAI API key — ngrok is already running)
Step 4 (create voice server)
Step 6 (start server and verify health)

Tell the user: "Voice is live! Open https://YOUR-URL/call in a browser to try it."

Local — Tier 1: WebRTC local only

Read recipes/twilio-voice-brain.md and execute:

Step 1 (prerequisites check)
Step 2, Credential 2 only (OpenAI API key)
Step 4 (create voice server)
Start server on localhost:8765

Tell the user: "Voice is live! Open http://localhost:8765/call in your browser."

Local — Tier 2 offer:

"Want voice from anywhere? Adding ngrok gives you a public URL so you can call from any browser or connect a phone number later."

If yes: Execute Step 3 from the recipe (ngrok setup) and the ngrok-tunnel recipe. If no: "No problem. Local-only WebRTC is fully functional."

Step 5: After WebRTC works, ask about phone number

"WebRTC is working. Want to add a real phone number so people can call you? This needs a Twilio account (~$20/mo for 100 min of calls)."

If yes: Execute Step 2 (Twilio credentials), Step 5 (Twilio phone number setup), and Step 7 (smoke test — the phone calls the user). If no: "No problem. You can add a phone number anytime with gbrain integrations show twilio-voice-brain."

Step 6: Update Edge Function references (if applicable)

If the user previously had Edge Function MCP configured:

The Edge Function deployment has been removed in v0.8.0
Remote MCP now uses self-hosted server + ngrok tunnel
Read docs/mcp/DEPLOY.md for the updated setup
If they had Claude Desktop configured with the old URL, help them update it

Step 7: Done

Log the migration completion:

mkdir -p ~/.gbrain/migrations
echo '{"version":"0.8.0","ts":"'$(date -u +%Y-%m-%dT%H:%M:%SZ)'","voice_setup":"RESULT"}' >> ~/.gbrain/migrations/completed.jsonl

Tell the user: "v0.8.0 migration complete. Run gbrain integrations doctor to verify all integrations are healthy."