Agent-to-agent communication protocol. Enables skills to communicate via events, build workflow chains, and orchestrate without human intervention.
Scanned 9/7/2026
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---
name: agent-protocol
description: Agent-to-agent communication protocol. Enables skills to communicate via events, build workflow chains, and orchestrate without human intervention.
version: 1.0.0
---
# Agent-to-Agent Protocol
**A foundational communication layer for Clawdbot skills and agents.**
Enable your agents to talk to each other, build automated workflows, and orchestrate complex multi-step tasks without human intervention.
## Vision
```
Research-Agent finds article
↓ publishes "research.found"
Summary-Agent subscribes to events
↓ generates digest
↓ publishes "summary.ready"
Notification-Agent subscribes
↓ posts to Telegram/Discord
```
## Architecture
### 1. **Event Bus** (File-based Message Passing)
- Agents publish events to `~/.clawdbot/events/`
- Events are JSON files with schema validation
- Persistent, debuggable, auditable
- Automatic cleanup of processed events
### 2. **Workflow Engine**
- Define pipelines in JSON or YAML
- Conditional routing based on event data
- Error handling, retries, fallbacks
- Cron integration for scheduled execution
### 3. **Shared Context**
- Agents read/write to shared memory space
- Context passing between workflow steps
- State persistence across agent invocations
### 4. **Agent Registry**
- Discover available agents/skills
- Capability advertisement
- Permission management
## Core Concepts
### Events
Events are the fundamental unit of communication:
```json
{
"event_id": "evt_20260128_001",
"event_type": "research.article_found",
"timestamp": "2026-01-28T23:00:00Z",
"source_agent": "research-agent",
"payload": {
"title": "ETH 2.0 Upgrade Complete",
"url": "https://example.com/article",
"importance": 9,
"summary": "Major Ethereum upgrade..."
},
"metadata": {
"session_id": "main",
"requires_action": true
}
}
```
### Workflows
Workflows define how agents respond to events:
```json
{
"workflow_id": "research-to-telegram",
"name": "Research → Summary → Notification",
"trigger": {
"event_type": "research.article_found",
"conditions": {
"payload.importance": { "gte": 7 }
}
},
"steps": [
{
"agent": "summary-agent",
"action": "summarize",
"input": "{{payload}}",
"output_event": "summary.ready"
},
{
"agent": "notification-agent",
"action": "notify",
"input": "{{previous.summary}}",
"channels": ["telegram"]
}
]
}
```
## Quick Start
### 1. Installation
```bash
cd /root/clawd/skills/agent-protocol
python3 scripts/setup.py
```
### 2. Start Event Bus
```bash
python3 scripts/event_bus.py start
```
### 3. Publish Your First Event
```bash
python3 scripts/publish.py \
--type "test.hello" \
--source "my-agent" \
--payload '{"message": "Hello, world!"}'
```
### 4. Subscribe to Events
```bash
python3 scripts/subscribe.py \
--types "test.hello" \
--handler "./my_handler.py"
```
### 5. Define a Workflow
```bash
cp examples/simple-workflow.json config/workflows/my-workflow.json
python3 scripts/workflow_engine.py --validate
```
## Event Types (Conventions)
### Standard Event Types
- `research.article_found` - Research agent found relevant content
- `research.topic_suggested` - New research topic suggested
- `summary.ready` - Summary generated
- `analytics.insight` - Personal analytics insight
- `sports.goal_scored` - Sports ticker goal event
- `sports.match_started` - Match started
- `notification.sent` - Notification delivered
- `workflow.started` - Workflow execution started
- `workflow.completed` - Workflow completed
- `workflow.failed` - Workflow failed
### Event Naming Convention
`<domain>.<action_past_tense>`
- Use lowercase, underscores
- Domain: broad category (research, sports, notification)
- Action: what happened (article_found, goal_scored)
## Workflow Examples
### Example 1: Research → Notification
```json
{
"workflow_id": "eth-news-alert",
"trigger": {
"event_type": "research.article_found",
"conditions": {
"payload.keywords": { "contains": ["ethereum", "ETH"] },
"payload.importance": { "gte": 8 }
}
},
"steps": [
{
"agent": "notification-agent",
"action": "send_telegram",
"input": {
"message": "🚨 Important ETH News!\n{{payload.title}}\n{{payload.url}}"
}
}
]
}
```
### Example 2: Sports Goal → TTS Announcement
```json
{
"workflow_id": "goal-announcement",
"trigger": {
"event_type": "sports.goal_scored",
"conditions": {
"payload.team": { "eq": "Barcelona" }
}
},
"steps": [
{
"agent": "tts-agent",
"action": "announce",
"input": {
"text": "Goal for Barcelona! {{payload.scorer}} scores! {{payload.score}}"
}
}
]
}
```
### Example 3: Daily Analytics → Research Topics
```json
{
"workflow_id": "analytics-to-research",
"trigger": {
"event_type": "analytics.daily_report",
"schedule": "0 9 * * *"
},
"steps": [
{
"agent": "analytics-agent",
"action": "generate_insights",
"output_event": "analytics.insights_ready"
},
{
"agent": "research-agent",
"action": "suggest_topics",
"input": "{{previous.insights}}",
"conditions": {
"previous.insights.count": { "gte": 3 }
}
}
]
}
```
## Commands
### Event Bus
```bash
# Start the event bus daemon
python3 scripts/event_bus.py start
# Check status
python3 scripts/event_bus.py status
# Stop
python3 scripts/event_bus.py stop
# View recent events
python3 scripts/event_bus.py tail --count 20
```
### Publishing Events
```bash
# Publish event (JSON payload)
python3 scripts/publish.py \
--type "research.article_found" \
--source "research-agent" \
--payload '{"title": "Article", "url": "..."}'
# Publish from file
python3 scripts/publish.py --file event.json
# Publish with priority
python3 scripts/publish.py \
--type "alert.urgent" \
--priority high \
--payload '{"message": "Critical alert!"}'
```
### Subscribing to Events
```bash
# Subscribe to event types
python3 scripts/subscribe.py \
--types "research.*,sports.goal_scored" \
--handler "./handlers/my_handler.py"
# Subscribe with filter
python3 scripts/subscribe.py \
--types "research.*" \
--filter '{"importance": {"gte": 8}}' \
--handler "./handlers/important_only.py"
# List active subscriptions
python3 scripts/subscribe.py --list
```
### Workflow Management
```bash
# Validate workflows
python3 scripts/workflow_engine.py --validate
# Run workflow engine (processes workflows)
python3 scripts/workflow_engine.py --run
# Test specific workflow
python3 scripts/workflow_engine.py --test eth-news-alert
# List workflows
python3 scripts/workflow_engine.py --list
# Enable/disable workflow
python3 scripts/workflow_engine.py --enable research-to-telegram
python3 scripts/workflow_engine.py --disable research-to-telegram
```
### Agent Registry
```bash
# Register your agent
python3 scripts/registry.py register \
--name "my-agent" \
--capabilities "summarize,notify" \
--events "research.article_found"
# List available agents
python3 scripts/registry.py list
# Query agents by capability
python3 scripts/registry.py query --capability "summarize"
```
## Integration with Existing Skills
### Sports Ticker Integration
Modify `sports-ticker/scripts/live_monitor.py` to publish events:
```python
from agent_protocol import publish_event
# After detecting a goal:
publish_event(
event_type="sports.goal_scored",
source="sports-ticker",
payload={
"team": team_name,
"scorer": player_name,
"opponent": opponent,
"score": f"{home_score}-{away_score}",
"minute": clock
}
)
```
### Research Agent Integration
```python
from agent_protocol import publish_event
# After finding an article:
publish_event(
event_type="research.article_found",
source="research-agent",
payload={
"title": article_title,
"url": article_url,
"importance": calculate_importance(article),
"summary": snippet
}
)
```
### Personal Analytics Integration
```python
from agent_protocol import publish_event
# Daily insights:
publish_event(
event_type="analytics.insight",
source="personal-analytics",
payload={
"type": "productivity",
"insight": "Your focus time increased 20% this week",
"recommendations": ["Schedule deep work in morning"]
}
)
```
## Security & Permissions
### Permission Model
```json
{
"agent": "research-agent",
"permissions": {
"publish": ["research.*"],
"subscribe": ["summary.*", "notification.*"],
"workflows": ["research-to-telegram"]
}
}
```
### Sandboxing
- Agents can only publish to their designated event types
- Subscriptions require explicit permission
- Workflows are validated before execution
## Configuration
### Main Config: `config/protocol.json`
```json
{
"event_bus": {
"storage_path": "~/.clawdbot/events",
"retention_days": 7,
"max_event_size_kb": 512
},
"workflow_engine": {
"enabled": true,
"poll_interval_seconds": 30,
"max_concurrent_workflows": 5
},
"registry": {
"agents_path": "~/.clawdbot/agents/registry.json"
},
"security": {
"require_permissions": true,
"audit_log": true
}
}
```
## Advanced Features
### 1. Conditional Routing
```json
{
"steps": [
{
"condition": {
"payload.importance": { "gte": 9 }
},
"then": { "agent": "urgent-notifier" },
"else": { "agent": "standard-notifier" }
}
]
}
```
### 2. Parallel Execution
```json
{
"steps": [
{
"parallel": [
{ "agent": "telegram-notifier" },
{ "agent": "discord-notifier" },
{ "agent": "email-notifier" }
]
}
]
}
```
### 3. Error Handling
```json
{
"steps": [
{
"agent": "external-api",
"retry": {
"max_attempts": 3,
"backoff_seconds": 5
},
"on_error": {
"agent": "error-logger",
"continue": true
}
}
]
}
```
### 4. Scheduled Workflows
```json
{
"trigger": {
"schedule": "0 9 * * *",
"event_type": "cron.daily_run"
}
}
```
## Monitoring & Debugging
### Event Log
All events are logged to `~/.clawdbot/events/log/`
```bash
# View event log
tail -f ~/.clawdbot/events/log/events.log
# Search events
python3 scripts/query.py --type "research.*" --since "1 hour ago"
```
### Workflow Execution Log
```bash
# View workflow executions
python3 scripts/workflow_engine.py --history
# Inspect failed workflow
python3 scripts/workflow_engine.py --inspect <workflow_id>
```
### Metrics
```bash
# Show event statistics
python3 scripts/metrics.py
# Output:
# Total events published: 1,234
# Event types: 15
# Active subscriptions: 8
# Workflows executed: 456
# Average workflow duration: 2.3s
```
## Best Practices
1. **Event Design**
- Keep payloads small and focused
- Include enough context for handlers
- Use consistent naming conventions
2. **Workflow Design**
- Keep workflows simple and focused
- Use descriptive names
- Test thoroughly before enabling
3. **Error Handling**
- Always define error handlers
- Log errors for debugging
- Use retries for transient failures
4. **Performance**
- Avoid high-frequency events
- Clean up old events regularly
- Monitor workflow execution times
5. **Security**
- Validate event payloads
- Use permission system
- Audit sensitive operations
## Python API
```python
from agent_protocol import (
publish_event,
subscribe,
create_workflow,
register_agent
)
# Publish event
publish_event(
event_type="my.event",
source="my-agent",
payload={"key": "value"}
)
# Subscribe to events
@subscribe(["research.*"])
def handle_research(event):
print(f"Got research event: {event['payload']}")
# Create workflow programmatically
workflow = create_workflow(
workflow_id="my-workflow",
trigger={"event_type": "my.trigger"},
steps=[
{"agent": "processor", "action": "process"}
]
)
# Register agent
register_agent(
name="my-agent",
capabilities=["process", "notify"],
event_types=["my.event"]
)
```
## JavaScript API
```javascript
const { publishEvent, subscribe, createWorkflow } = require('./scripts/protocol.js');
// Publish event
await publishEvent({
eventType: 'my.event',
source: 'my-agent',
payload: { key: 'value' }
});
// Subscribe
subscribe(['research.*'], (event) => {
console.log('Got event:', event);
});
// Create workflow
await createWorkflow({
workflowId: 'my-workflow',
trigger: { eventType: 'my.trigger' },
steps: [
{ agent: 'processor', action: 'process' }
]
});
```
## Roadmap
- [ ] Visual workflow builder (web UI)
- [ ] WebSocket support for real-time events
- [ ] Cross-instance event relay (multi-bot networks)
- [ ] AI-powered workflow suggestions
- [ ] Event replay and debugging tools
- [ ] Performance profiling
- [ ] GraphQL query API for events
## Contributing
This skill is part of Clawdbot's core infrastructure. Contributions welcome!
## License
MIT
---
**Built with 🦎 by Robby**
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