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name: AILANG Inbox description: Cross-agent communication system for AI workflows. Check messages at session start, send notifications to other agents, and track multi-agent handoffs with correlation IDs.

AILANG Inbox

AILANG's messaging system enables AI agents to communicate asynchronously across sessions and projects.

Session Start Routine

At the start of EVERY session, check for messages:

# Check for unread messages
ailang messages list --unread

# Or check specific inbox
ailang messages list --inbox user --unread

Quick Reference

Command	Purpose
ailang messages list --unread	Check for new messages
ailang messages list --inbox user	Check user inbox
ailang messages send user "msg" --from agent	Send to user
ailang messages ack MSG_ID	Mark as read
ailang messages ack --all	Mark all as read
ailang messages read MSG_ID	View full message

Checking Messages

List Messages

# All messages
ailang messages list

# Only unread
ailang messages list --unread

# Specific inbox
ailang messages list --inbox user

# Filter by sender
ailang messages list --from sprint-executor

# Limit results
ailang messages list --limit 5

# JSON output (for parsing)
ailang messages list --json

Read Full Message

# View complete message content
ailang messages read MSG_ID

Acknowledge Messages

# Mark single message as read
ailang messages ack MSG_ID

# Mark all unread as read
ailang messages ack --all

# Mark all in specific inbox
ailang messages ack --all --inbox user

# Mark as unread again (for retry)
ailang messages unack MSG_ID

Sending Messages

To User

# Simple text message
ailang messages send user "Task completed successfully" --from my-agent --title "Status Update"

# With JSON payload
ailang messages send user --json '{"status":"done","result":"All tests passing"}' --from my-agent

To Another Agent

# Send to specific agent inbox
ailang messages send sprint-executor "Ready for handoff" --from planner

# With correlation ID (for tracking workflows)
ailang messages send sprint-executor --json '{"task":"execute"}' --from planner --correlation workflow_123

Workflow Patterns

1. Session Start Check

# 1. Check for messages
ailang messages list --unread

# 2. If messages exist:
#    - Summarize to user
#    - Ask what action to take

# 3. After handling:
ailang messages ack --all

2. Agent Handoff

# Agent A completes work and hands off to Agent B
ailang messages send agent-b --json '{
  "type": "handoff",
  "task": "continue_implementation",
  "artifacts": ["path/to/results/"],
  "context": "Previous work completed"
}' --from agent-a --correlation project_xyz

3. Completion Notification

# Notify user that autonomous work is done
ailang messages send user --json '{
  "type": "completion",
  "status": "success",
  "summary": "All 5 milestones completed",
  "artifacts": ["results/v1.0/"]
}' --from sprint-executor --title "Sprint Complete"

4. Error Reporting

# Report error to user
ailang messages send user --json '{
  "type": "error",
  "error": "Tests failing at milestone 3",
  "details": "logs/error.log",
  "needs_help": true
}' --from executor --title "Error Encountered"

Correlation IDs

Track related messages across agent handoffs:

{
  "message_id": "msg_20251208_103045_abc123",
  "correlation_id": "workflow_project_x",
  "from": "planner",
  "to": "executor",
  "payload": { ... }
}

Benefits:

• Track entire workflow chains
• Filter messages by workflow
• Debug multi-agent interactions
• Resume work from where you left off

Message Types

Completion

{
  "type": "completion",
  "status": "success",
  "result": "All tests passing",
  "artifacts": ["path/to/output/"]
}

Handoff

{
  "type": "handoff",
  "task": "next_phase",
  "context": "Previous work summary",
  "dependencies": ["file1.ail", "file2.ail"]
}

Error

{
  "type": "error",
  "error": "Description of failure",
  "details": "path/to/logs",
  "needs_help": true
}

Request

{
  "type": "request",
  "action": "review_code",
  "files": ["src/module.ail"],
  "priority": "high"
}

Watch for Messages

Monitor for new messages in real-time:

# Watch all inboxes
ailang messages watch

# Watch specific inbox
ailang messages watch --inbox user

Cleanup

Remove old messages:

# Remove messages older than 7 days
ailang messages cleanup --older-than 7d

# Remove expired messages
ailang messages cleanup --expired

# Preview without deleting
ailang messages cleanup --dry-run

Storage

• Database: ~/.ailang/state/collaboration.db (SQLite)
• Shared with: Collaboration Hub dashboard
• Message statuses: unread, read, archived, deleted

Integration with Collaboration Hub

Messages are visible in the web dashboard:

# Start the Collaboration Hub server
ailang serve

# Access at http://localhost:1957

The dashboard provides:

• Real-time message view
• Agent activity timeline
• Workflow visualization
• Message filtering and search