Agent Inbox

Check for messages from autonomous agents at session start and process completion notifications.

Quick Start

Most common usage:

bash
# List all messages
ailang messages list

# Show only unread messages
ailang messages list --unread

# Read full message content
ailang messages read MSG_ID

# Acknowledge (mark as read)
ailang messages ack MSG_ID
ailang messages ack --all

# Send a message
ailang messages send user "Your message" --title "Title" --from "agent-name"

# Send bug/feature to GitHub (for cross-instance visibility)
ailang messages send user "Bug report" --type bug --github

Expected output (at session start):

📬 AGENT INBOX: 2 unread message(s) from autonomous agents
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

ID: msg_20251210_143021_abc123
From: sprint-executor
Title: Sprint M-S1 complete
Time: 2025-12-10T14:30:21Z

ID: msg_20251210_143055_def456
From: stapledon
Title: Parser Bug
Time: 2025-12-10T14:30:55Z
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

When to Use This Skill

Invoke this skill when:

• Session starts - First action in every Claude Code session (required by CLAUDE.md)
• After handoffs - When you've sent work to autonomous agents
• Periodic checks - User asks "any updates from agents?"
• Debugging - To see agent communication history

Storage Backend

All messages stored in SQLite database:

• Location: ~/.ailang/state/collaboration.db
• Accessible via: CLI (ailang messages) and Collaboration Hub dashboard
• Message statuses: unread, read, archived, deleted

Available Commands

List Messages

bash
ailang messages list                    # All messages
ailang messages list --unread           # Only unread
ailang messages list --inbox user       # Filter by inbox
ailang messages list --from agent-name  # Filter by sender
ailang messages list --json             # JSON output
ailang messages list --limit 50         # Limit results

Read Full Message

bash
ailang messages read MSG_ID             # Full content, marks as read
ailang messages read MSG_ID --peek      # View without marking read
ailang messages read MSG_ID --json      # JSON output

Acknowledge Messages

bash
ailang messages ack MSG_ID              # Mark specific message as read
ailang messages ack --all               # Mark all as read
ailang messages ack --all --inbox user  # Mark all in inbox as read

Un-acknowledge (Mark Unread)

bash
ailang messages unack MSG_ID            # Move back to unread

Send Messages

bash
# Basic send (local only - for coordination)
ailang messages send INBOX "message" --title "Title" --from "agent"

# With GitHub sync (for bugs/features - cross-instance visibility)
ailang messages send INBOX "message" --type bug --github
ailang messages send INBOX "message" --type feature --github
ailang messages send INBOX "message" --github --repo owner/repo

Import from GitHub

bash
ailang messages import-github                    # Import from default repo
ailang messages import-github --repo owner/repo  # Specific repo
ailang messages import-github --labels bug,help  # Filter by labels
ailang messages import-github --dry-run          # Preview without importing

Workflow

1. Session Start Check (REQUIRED)

SessionStart hook runs automatically and shows unread messages.

If messages exist:

• Read and summarize each message to user
• Identify message type (completion, error, handoff)
• Ask user if they want action taken
• Acknowledge after handling: ailang messages ack --all

2. Process Completion Notifications

When agent reports completion:

bash
# 1. Read the full message
ailang messages read MSG_ID

# 2. Review results mentioned in payload
ls -la eval_results/baselines/v0.4.2/

# 3. Report to user
echo "Sprint complete! Results at: eval_results/baselines/v0.4.2/"

# 4. Acknowledge after processing
ailang messages ack MSG_ID

3. Handle Error Reports

When agent reports errors:

bash
# 1. Read the full error details
ailang messages read MSG_ID

# 2. Check logs if mentioned
cat .ailang/state/logs/sprint-executor.log

# 3. Diagnose and report to user
echo "Agent encountered error: Tests failing at milestone 3/5"

# 4. Either fix manually or send corrective instructions

4. Respond to Agent or User

bash
# Send response to an agent
ailang messages send sprint-executor "Approved, proceed" \
  --title "Approval" --from "user"

# Send notification to user inbox
ailang messages send user "Issue resolved" \
  --title "Status update" --from "claude-code"

GitHub Integration (Bi-directional)

Message Types and Routing

| Type | Purpose | Goes to GitHub? | |------|---------|-----------------| | bug | Bug report | Yes (with --github) | | feature | Feature request | Yes (with --github) | | general | Coordination | No (local only) |

Routing guidance:

• Bugs and features → Use --github for visibility across all AILANG instances
• Coordination messages → Local only, for agent-to-agent communication
• Instructions from humans → Create GitHub issues, they'll be imported automatically

Sending to GitHub (Agent → GitHub)

bash
# Bug reports and feature requests go to GitHub for visibility
ailang messages send user "Parser crash" --type bug --github
ailang messages send user "Need async support" --type feature --github

Importing from GitHub (GitHub → Local)

bash
# Runs automatically on session start (if auto_import: true in config)
ailang messages import-github

# Or manually with filters
ailang messages import-github --labels help-wanted

Human Instructions via GitHub

You can write instructions as GitHub issues and have agents pick them up:

1. Create issue on GitHub with ailang-message label
2. Next session, import-github runs automatically
3. Issue appears in agent's inbox as a message
4. Agent reads and acts on the instructions

Configuration

Create ~/.ailang/config.yaml:

yaml
github:
  expected_user: YourGitHubUsername   # REQUIRED: Must match gh auth status
  default_repo: sunholo-data/ailang   # Default repo for issues
  create_labels:
    - ailang-message
  watch_labels:
    - ailang-message
  auto_import: true                   # Auto-import on session start

Prerequisites:

1. Install GitHub CLI: brew install gh
2. Authenticate: gh auth login
3. Check account: gh auth status
4. Switch if needed: gh auth switch --user USERNAME

Auto-label creation: Labels are automatically created if they don't exist:

• from:agent-name (purple) - who sent the message
• bug (red), feature (cyan), general (light blue)
• ailang-message (blue) - identifies AILANG messages

Correlation IDs

Messages support correlation IDs for tracking handoff chains:

json
{
  "message_id": "msg_20251210_103045_abc123",
  "correlation_id": "sprint_M-S1",
  "from_agent": "sprint-executor",
  "to_inbox": "user",
  "title": "Sprint complete",
  "payload": "All milestones complete"
}

Benefits:

• Track entire workflow: design-doc → sprint-plan → execution
• Filter messages by workflow
• Debug multi-agent interactions
• Resume work from where you left off

For complete specification, see resources/message_format.md

Message Types (Payloads)

Completion Notification

json
{
  "type": "sprint_complete",
  "correlation_id": "sprint_M-S1",
  "payload": {
    "sprint_id": "M-S1",
    "milestones_complete": 5,
    "result": "All tests passing"
  }
}

Error Report

json
{
  "type": "error",
  "correlation_id": "sprint_M-S1",
  "payload": {
    "error": "Tests failing: 5 benchmarks broken",
    "details": ".ailang/state/logs/sprint-executor.log"
  }
}

Handoff Instruction

json
{
  "type": "plan_ready",
  "correlation_id": "sprint_M-S1",
  "payload": {
    "sprint_id": "M-S1",
    "plan_path": "design_docs/planned/M-S1-plan.md"
  }
}

Resources

Message Format Reference

See resources/message_format.md for complete message format specification.

Troubleshooting Guide

See resources/troubleshooting.md for common issues and solutions.

CLI Command Reference

| Command | Purpose | |---------|---------| | ailang messages list | View all messages | | ailang messages list --unread | View only unread | | ailang messages read MSG_ID | View full message | | ailang messages ack MSG_ID | Mark as read | | ailang messages ack --all | Mark all as read | | ailang messages unack MSG_ID | Mark as unread | | ailang messages send INBOX "msg" | Send message | | ailang messages reply MSG_ID "text" | Reply to GitHub issue thread | | ailang messages import-github | Import from GitHub | | ailang messages watch | Watch for new messages | | ailang messages cleanup | Remove old messages |

Aliases: msg is an alias for messages

bash
ailang msg list        # Same as: ailang messages list

Notes

• Required by CLAUDE.md: Session start check is mandatory
• SQLite backend: All messages in ~/.ailang/state/collaboration.db
• Hook integration: SessionStart hook auto-imports GitHub issues and shows unread
• Auto-marking: Messages marked as read when using ailang messages read
• Message lifecycle: Unread → Read → Archived (optional)
• GitHub sync: Optional, for bugs/features that need cross-instance visibility