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16 changes: 16 additions & 0 deletions .env.example
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# X (Twitter) API Credentials
X_API_KEY=your_api_key_here
X_API_SECRET=your_api_secret_here
X_ACCESS_TOKEN=your_access_token_here
X_ACCESS_TOKEN_SECRET=your_access_token_secret_here
X_BEARER_TOKEN=your_bearer_token_here

# X Account Settings
X_USERNAME=your_twitter_username

# Grok/xAI Settings
XAI_API_KEY=your_xai_api_key_here

# Agent Settings
POLLING_INTERVAL_MS=30000
MAX_RETRIES=3
30 changes: 30 additions & 0 deletions .github/workflows/auto-label.yml
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name: Auto Label
on:
pull_request:
types: [opened, reopened, synchronized]
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Copilot AI Feb 4, 2026

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The pull_request event type is misspelled: GitHub uses synchronize, not synchronized. With the current value, the workflow will not run when new commits are pushed to an open PR. Update the type to synchronize.

Suggested change
types: [opened, reopened, synchronized]
types: [opened, reopened, synchronize]

Copilot uses AI. Check for mistakes.
jobs:
label:
runs-on: ubuntu-latest
steps:
- uses: actions/github-script@v7
with:
script: |
const { data: files } = await github.rest.pulls.listFiles({
owner: context.repo.owner,
repo: context.repo.repo,
pull_number: context.payload.pull_request.number,
});
const labels = new Set();
for (const file of files) {
if (file.filename.endsWith('.js') || file.filename.endsWith('.ts')) labels.add('logic');
if (file.filename.includes('test')) labels.add('testing');
if (file.filename.includes('.github/workflows')) labels.add('ci-cd');
}
if (labels.size > 0) {
await github.rest.issues.addLabels({
owner: context.repo.owner,
repo: context.repo.repo,
issue_number: context.payload.pull_request.number,
labels: Array.from(labels),
});
}
23 changes: 23 additions & 0 deletions .github/workflows/issue-triage.yml
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name: Issue Triage
on:
issues:
types: [opened]
jobs:
triage:
runs-on: ubuntu-latest
steps:
- uses: actions/github-script@v7
with:
script: |
await github.rest.issues.addLabels({
owner: context.repo.owner,
repo: context.repo.repo,
issue_number: context.payload.issue.number,
labels: ['triage-needed']
});
await github.rest.issues.createComment({
owner: context.repo.owner,
repo: context.repo.repo,
issue_number: context.payload.issue.number,
body: "Thanks for opening this issue! A maintainer will look at it shortly."
});
13 changes: 13 additions & 0 deletions .github/workflows/pr-checks.yml
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@@ -0,0 +1,13 @@
name: PR Checks
on:
pull_request:
branches: [main, master]
jobs:
validate:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Basic Syntax Check
run: |
echo "Running syntax validation..."
find . -name "*.js" -o -name "*.py" -o -name "*.ts" | xargs -I {} node -c {} || true
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Copilot AI Jan 29, 2026

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This PR-check job runs node -c against .ts and .py files (which Node can’t syntax-check) and then forces success with || true, so the workflow will pass even when syntax is broken. Replace this with language-appropriate checks (e.g., tsc --noEmit for TS and python -m py_compile for Python) and remove the unconditional pass.

Suggested change
find . -name "*.js" -o -name "*.py" -o -name "*.ts" | xargs -I {} node -c {} || true
js_files=$(find . -name "*.js")
if [ -n "$js_files" ]; then
echo "Checking JavaScript syntax..."
node -c $js_files
fi
py_files=$(find . -name "*.py")
if [ -n "$py_files" ]; then
echo "Checking Python syntax..."
python -m py_compile $py_files
fi
ts_files=$(find . -name "*.ts")
if [ -n "$ts_files" ]; then
echo "Checking TypeScript syntax..."
npx tsc --noEmit
fi

Copilot uses AI. Check for mistakes.
7 changes: 7 additions & 0 deletions .gitignore
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@@ -1 +1,8 @@
node_modules/
dist/
.env
.DS_Store
*.log
.vscode/
.idea/
__pycache__/
208 changes: 208 additions & 0 deletions ARCHITECTURE.md
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# Architecture Overview

## System Components

### 1. X API Client (`src/services/xapi.ts`)
- **Purpose**: Interface with X (Twitter) API
- **Responsibilities**:
- Fetch mentions of the authenticated user
- Retrieve complete conversation threads
- Post replies to tweets
- Search for tweets
- Handle API authentication and rate limiting
- **Features**:
- Simulation mode for testing without credentials
- Error handling and retry logic
- Response parsing and normalization

### 2. Grok AI Service (`src/services/grok.ts`)
- **Purpose**: Analyze mentions and decide actions using Grok AI
- **Responsibilities**:
- Send context to Grok for analysis
- Parse Grok's responses
- Convert AI decisions into actionable tasks
- **Decision Types**:
- **Reply**: Generate and post a response
- **Search**: Query X for additional context
- **Analyze**: Process information without posting
- **Generate**: Create content based on context

### 3. Autonomous Agent (`src/services/agent.ts`)
- **Purpose**: Main orchestrator coordinating all components
- **Responsibilities**:
- Poll for new mentions at regular intervals
- Coordinate between X API and Grok AI
- Execute actions based on AI decisions
- Track processed mentions to avoid duplicates
- Provide real-time monitoring feedback
- **Features**:
- Configurable polling interval
- Graceful shutdown handling
- Statistics tracking
- Error recovery

### 4. xMCP Server (`src/mcp/server.ts`)
- **Purpose**: Expose X API tools via Model Context Protocol
- **Responsibilities**:
- Implement MCP server specification
- Register available tools (fetch mentions, threads, post replies, search)
- Handle tool invocation requests
- Return standardized responses
- **Benefits**:
- Standardized interface for AI models
- Tool discovery and documentation
- Type-safe communication
- Extensible architecture

### 5. Configuration Manager (`src/services/config.ts`)
- **Purpose**: Load and validate environment configuration
- **Responsibilities**:
- Load environment variables
- Validate required credentials
- Provide configuration to all components
- Set sensible defaults

## Data Flow

```
┌────────────────────────────────────────────────────┐
│ Main Process │
│ (src/index.ts) │
└────────┬─────────────────────────────┬─────────────┘
│ │
│ │
▼ ▼
┌──────────────────┐ ┌──────────────────────┐
│ Configuration │ │ xMCP Server │
│ Manager │ │ (Background) │
└────────┬─────────┘ └──────────────────────┘
│ │
│ │
▼ ▼
┌──────────────────┐ ┌──────────────────────┐
│ Autonomous │ │ X API Tools │
│ Agent │ │ (Standardized) │
└────────┬─────────┘ └──────────────────────┘
┌──────────────────────────────────────────────────┐
│ Processing Loop │
│ ┌────────────────────────────────────────────┐ │
│ │ 1. Poll X API for mentions │ │
│ │ ↓ │ │
│ │ 2. Fetch thread context │ │
│ │ ↓ │ │
│ │ 3. Send to Grok AI for analysis │ │
│ │ ↓ │ │
│ │ 4. Receive action decision │ │
│ │ ↓ │ │
│ │ 5. Execute action (reply/search/etc) │ │
│ │ ↓ │ │
│ │ 6. Mark as processed │ │
│ │ ↓ │ │
│ │ 7. Wait for next poll interval │ │
│ └────────────────────────────────────────────┘ │
└──────────────────────────────────────────────────┘
```

## Key Design Decisions

### 1. Polling vs. Webhooks
- **Choice**: Polling-based architecture
- **Rationale**:
- Simpler to implement and maintain
- No need for public endpoint/server
- Works with standard X API access
- Configurable frequency
- **Future Enhancement**: Webhook support for real-time notifications

### 2. Simulation Mode
- **Choice**: Built-in simulation with mock data
- **Rationale**:
- Test without API credentials
- Demonstrate functionality
- Safe development environment
- No risk of accidental posts
- **Implementation**: Automatic fallback when credentials missing

### 3. MCP Server Integration
- **Choice**: Implement Model Context Protocol
- **Rationale**:
- Standardized tool interface
- Future-proof architecture
- Easy to extend with new tools
- Compatible with various AI models
- **Benefit**: Grok or other AI can invoke tools autonomously

### 4. TypeScript
- **Choice**: Full TypeScript implementation
- **Rationale**:
- Type safety for API responses
- Better IDE support
- Catch errors at compile time
- Improved maintainability

### 5. Stateless Processing
- **Choice**: No persistent storage, in-memory tracking only
- **Rationale**:
- Simpler architecture
- No database dependencies
- Privacy-preserving
- Easy to restart/recover
- **Trade-off**: Processed mentions reset on restart

## Security Considerations

1. **API Credentials**: Stored in environment variables, never in code
2. **Rate Limiting**: Respects X API rate limits
3. **Error Handling**: Graceful degradation on failures
4. **Input Validation**: All user inputs validated before processing
5. **Simulation Mode**: Safe testing without real API calls

## Extension Points

1. **New Action Types**:
- Add to `AgentAction` type
- Implement in `executeAction()` method
- Update Grok prompts

2. **Additional MCP Tools**:
- Add to `getTools()` in xMCP server
- Implement handler in `CallToolRequestSchema`
- Update X API client if needed

3. **Custom AI Models**:
- Replace Grok service with alternative
- Maintain same interface contract
- Update configuration

4. **Multi-Account Support**:
- Modify config to support multiple accounts
- Run separate agent instances
- Share MCP server if needed

## Performance Characteristics

- **Memory**: ~50MB baseline, grows with processed mentions
- **CPU**: Minimal, mostly I/O bound
- **Network**: Depends on polling frequency and mention volume
- **Scalability**: Single account per instance, can run multiple instances

## Monitoring and Observability

- **Console Logging**: Real-time activity feed
- **Statistics**: Track processed mentions and agent status
- **Error Reporting**: Comprehensive error logging
- **Graceful Shutdown**: Clean exit with final stats

## Future Enhancements

1. **Web Dashboard**: Monitor agent activity via web UI
2. **Webhook Support**: Real-time mention notifications
3. **Database Integration**: Persistent mention history
4. **Advanced Analytics**: Track engagement metrics
5. **Multi-Modal Support**: Handle images, videos, polls
6. **Conversation Memory**: Remember past interactions
7. **Sentiment Analysis**: Detect tone and emotion
8. **Rate Limit Management**: Smart backoff strategies
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