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+# Add Parallel AI Integration
+
+Adds Parallel AI MCP integration to NanoClaw for advanced web research capabilities.
+
+## What This Adds
+
+- **Quick Search** - Fast web lookups using Parallel Search API (free to use)
+- **Deep Research** - Comprehensive analysis using Parallel Task API (asks permission)
+- **Non-blocking Design** - Uses NanoClaw scheduler for result polling (no container blocking)
+
+## Prerequisites
+
+User must have:
+1. Parallel AI API key from https://platform.parallel.ai
+2. NanoClaw already set up and running
+3. Container system working (Apple Container or Docker)
+
+## Implementation Steps
+
+Run all steps automatically. Only pause for user input when explicitly needed.
+
+### 1. Get Parallel AI API Key
+
+Ask the user:
+> Do you have a Parallel AI API key, or should I help you get one?
+
+**If they have one:**
+Ask them to provide it.
+
+**If they need one:**
+Tell them:
+> 1. Go to https://platform.parallel.ai
+> 2. Sign up or log in
+> 3. Navigate to API Keys section
+> 4. Create a new API key
+> 5. Copy the key and paste it here
+
+Wait for the API key.
+
+### 2. Add API Key to Environment
+
+Add `PARALLEL_API_KEY` to `.env`:
+
+```bash
+# Check if .env exists, create if not
+if [ ! -f .env ]; then
+    touch .env
+fi
+
+# Add PARALLEL_API_KEY if not already present
+if ! grep -q "PARALLEL_API_KEY=" .env; then
+    echo "PARALLEL_API_KEY=${API_KEY_FROM_USER}" >> .env
+    echo "✓ Added PARALLEL_API_KEY to .env"
+else
+    # Update existing key
+    sed -i.bak "s/^PARALLEL_API_KEY=.*/PARALLEL_API_KEY=${API_KEY_FROM_USER}/" .env
+    echo "✓ Updated PARALLEL_API_KEY in .env"
+fi
+```
+
+Verify:
+```bash
+grep "PARALLEL_API_KEY" .env | head -c 50
+```
+
+### 3. Update Container Runner
+
+Add `PARALLEL_API_KEY` to allowed environment variables in `src/container-runner.ts`:
+
+Find the line:
+```typescript
+const allowedVars = ['CLAUDE_CODE_OAUTH_TOKEN', 'ANTHROPIC_API_KEY'];
+```
+
+Replace with:
+```typescript
+const allowedVars = ['CLAUDE_CODE_OAUTH_TOKEN', 'ANTHROPIC_API_KEY', 'PARALLEL_API_KEY', 'ASSISTANT_NAME'];
+```
+
+### 4. Configure MCP Servers in Agent Runner
+
+Update `container/agent-runner/src/index.ts`:
+
+Find the section where `mcpServers` is configured (around line 237-252):
+```typescript
+const mcpServers: Record<string, any> = {
+  nanoclaw: ipcMcp
+};
+```
+
+Add Parallel AI MCP servers after the nanoclaw server:
+```typescript
+const mcpServers: Record<string, any> = {
+  nanoclaw: ipcMcp
+};
+
+// Add Parallel AI MCP servers if API key is available
+const parallelApiKey = process.env.PARALLEL_API_KEY;
+if (parallelApiKey) {
+  mcpServers['parallel-search'] = {
+    type: 'http',  // REQUIRED: Must specify type for HTTP MCP servers
+    url: 'https://search-mcp.parallel.ai/mcp',
+    headers: {
+      'Authorization': `Bearer ${parallelApiKey}`
+    }
+  };
+  mcpServers['parallel-task'] = {
+    type: 'http',  // REQUIRED: Must specify type for HTTP MCP servers  
+    url: 'https://task-mcp.parallel.ai/mcp',
+    headers: {
+      'Authorization': `Bearer ${parallelApiKey}`
+    }
+  };
+  log('Parallel AI MCP servers configured');
+} else {
+  log('PARALLEL_API_KEY not set, skipping Parallel AI integration');
+}
+```
+
+Also update the `allowedTools` array to include Parallel MCP tools (around line 242-248):
+```typescript
+allowedTools: [
+  'Bash',
+  'Read', 'Write', 'Edit', 'Glob', 'Grep',
+  'WebSearch', 'WebFetch',
+  'mcp__nanoclaw__*',
+  'mcp__parallel-search__*',
+  'mcp__parallel-task__*'
+],
+```
+
+### 5. Add Usage Instructions to CLAUDE.md
+
+Add Parallel AI usage instructions to `groups/main/CLAUDE.md`:
+
+Find the "## What You Can Do" section and add after the existing bullet points:
+```markdown
+- Use Parallel AI for web research and deep learning tasks
+```
+
+Then add a new section after "## What You Can Do":
+```markdown
+## Web Research Tools
+
+You have access to two Parallel AI research tools:
+
+### Quick Web Search (`mcp__parallel-search__search`)
+**When to use:** Freely use for factual lookups, current events, definitions, recent information, or verifying facts.
+
+**Examples:**
+- "Who invented the transistor?"
+- "What's the latest news about quantum computing?"
+- "When was the UN founded?"
+- "What are the top programming languages in 2026?"
+
+**Speed:** Fast (2-5 seconds)
+**Cost:** Low
+**Permission:** Not needed - use whenever it helps answer the question
+
+### Deep Research (`mcp__parallel-task__create_task_run`)
+**When to use:** Comprehensive analysis, learning about complex topics, comparing concepts, historical overviews, or structured research.
+
+**Examples:**
+- "Explain the development of quantum mechanics from 1900-1930"
+- "Compare the literary styles of Hemingway and Faulkner"
+- "Research the evolution of jazz from bebop to fusion"
+- "Analyze the causes of the French Revolution"
+
+**Speed:** Slower (1-20 minutes depending on depth)
+**Cost:** Higher (varies by processor tier)
+**Permission:** ALWAYS ask the user first before using this tool
+
+**How to ask permission:**
+```
+I can do deep research on [topic] using Parallel's Task API. This will take
+2-5 minutes and provide comprehensive analysis with citations. Should I proceed?
+```
+
+**After permission - DO NOT BLOCK! Use scheduler instead:**
+
+1. Create the task using `mcp__parallel-task__create_task_run`
+2. Get the `run_id` from the response
+3. Create a polling scheduled task using `mcp__nanoclaw__schedule_task`:
+   ```
+   Prompt: "Check Parallel AI task run [run_id] and send results when ready.
+
+   1. Use the Parallel Task MCP to check the task status
+   2. If status is 'completed', extract the results
+   3. Send results to user with mcp__nanoclaw__send_message
+   4. Use mcp__nanoclaw__complete_scheduled_task to mark this task as done
+
+   If status is still 'running' or 'pending', do nothing (task will run again in 30s).
+   If status is 'failed', send error message and complete the task."
+
+   Schedule: interval every 30 seconds
+   Context mode: isolated
+   ```
+4. Send acknowledgment with tracking link
+5. Exit immediately - scheduler handles the rest
+
+### Choosing Between Them
+
+**Use Search when:**
+- Question needs a quick fact or recent information
+- Simple definition or clarification
+- Verifying specific details
+- Current events or news
+
+**Use Deep Research (with permission) when:**
+- User wants to learn about a complex topic
+- Question requires analysis or comparison
+- Historical context or evolution of concepts
+- Structured, comprehensive understanding needed
+- User explicitly asks to "research" or "explain in depth"
+
+**Default behavior:** Prefer search for most questions. Only suggest deep research when the topic genuinely requires comprehensive analysis.
+```
+
+### 6. Rebuild Container
+
+Build the container with updated agent runner:
+
+```bash
+./container/build.sh
+```
+
+The build script will automatically:
+- Try Apple Container first
+- Fall back to Docker if Rosetta is required
+- Import to Apple Container
+
+Verify the build:
+```bash
+echo '{}' | container run -i --entrypoint /bin/echo nanoclaw-agent:latest "Container OK"
+```
+
+### 7. Restart Service
+
+Rebuild the main app and restart:
+
+```bash
+npm run build
+launchctl kickstart -k gui/$(id -u)/com.nanoclaw
+```
+
+Wait 3 seconds for service to start, then verify:
+```bash
+sleep 3
+launchctl list | grep nanoclaw
+```
+
+### 8. Test Integration
+
+Tell the user to test:
+> Send a message to your assistant: `@[YourAssistantName] what's the latest news about AI?`
+>
+> The assistant should use Parallel Search API to find current information.
+>
+> Then try: `@[YourAssistantName] can you research the history of artificial intelligence?`
+>
+> The assistant should ask for permission before using the Task API.
+
+Check logs to verify MCP servers loaded:
+```bash
+tail -20 logs/nanoclaw.log
+```
+
+Look for: `[agent-runner] Parallel AI MCP servers configured`
+
+## Troubleshooting
+
+**Container hangs or times out:**
+- Check that `type: 'http'` is specified in MCP server config
+- Verify API key is correct in .env
+- Check container logs: `cat groups/main/logs/container-*.log | tail -50`
+
+**MCP servers not loading:**
+- Ensure PARALLEL_API_KEY is in .env
+- Verify container-runner.ts includes PARALLEL_API_KEY in allowedVars
+- Check agent-runner logs for "Parallel AI MCP servers configured" message
+
+**Task polling not working:**
+- Verify scheduled task was created: `sqlite3 store/messages.db "SELECT * FROM scheduled_tasks"`
+- Check task runs: `tail -f logs/nanoclaw.log | grep "scheduled task"`
+- Ensure task prompt includes proper Parallel MCP tool names
+
+## Uninstalling
+
+To remove Parallel AI integration:
+
+1. Remove from .env: `sed -i.bak '/PARALLEL_API_KEY/d' .env`
+2. Revert changes to container-runner.ts and agent-runner/src/index.ts
+3. Remove Web Research Tools section from groups/main/CLAUDE.md
+4. Rebuild: `./container/build.sh && npm run build`
+5. Restart: `launchctl kickstart -k gui/$(id -u)/com.nanoclaw`
diff --git a/.gitignore b/.gitignore
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 .vscode/
 
 agents-sdk-docs
+.backups/