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Created February 10, 2026 17:01
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Tracked my @claudeai code swarm with an "observer" agent (3 agents + leader) & had it snapshot the on-disk state in `.claude/teams` and `tasks` at intervals.

How Claude Code Team Coordination Works

Observed by: observer agent Date: 2026-02-09 Team: moltbook-tui (1 lead + 4 agents, observed over ~10 minutes of activity) Snapshots taken: 7 (see snapshot-1.md through snapshot-7.md for raw data)

Architecture Overview

Claude Code teams use a filesystem-based coordination system. There are no sockets, databases, or message queues - everything is stored as JSON files on disk. Agents coordinate through:

  1. Team config file - Central registry of team members
  2. Inbox files - Per-agent message queues (JSON arrays)
  3. Task files - Individual JSON files per task
~/.claude/
├── teams/
│   └── {team-name}/
│       ├── config.json           # Team registry
│       └── inboxes/
│           ├── {agent-name}.json # Per-agent inbox
│           └── ...
└── tasks/
    └── {task-list-id}/
        ├── .lock                 # Filesystem lock
        ├── 1.json                # Task 1
        ├── 2.json                # Task 2
        └── ...

1. Team Configuration (config.json)

The central registry file. Contains team metadata and the members array.

{
  "name": "moltbook-tui",
  "description": "Building a CLI-based TUI app...",
  "createdAt": 1770674853809,
  "leadAgentId": "team-lead@moltbook-tui",
  "leadSessionId": "<session-uuid>",
  "members": [/* array of member objects */]
}

Member Object Schema

{
  "agentId": "api-builder@moltbook-tui",   // {name}@{team-name}
  "name": "api-builder",                    // Human-readable name
  "agentType": "team-lead" | "general-purpose",
  "model": "claude-opus-4-6",
  "prompt": "...",                           // Full system prompt (only for non-leads)
  "color": "blue",                           // Visual identity color
  "planModeRequired": false,                 // If true, agent must get plan approved
  "joinedAt": 1770675032956,                 // Unix timestamp in ms
  "tmuxPaneId": "in-process" | "",           // Process management
  "cwd": "<project-root>",            // Working directory
  "subscriptions": [],                       // Unused in this team
  "backendType": "in-process"                // Only for spawned agents
}

Agent Identity

  • agentId: {name}@{team-name} format (e.g., api-builder@moltbook-tui)
  • name: Short identifier used in messaging (e.g., api-builder)
  • color: Assigned at creation; travels with messages for visual identity
  • The team lead has no color, prompt, or backendType fields

Lifecycle Events

  • Member added: New entry appended to members array when agent spawns
  • Member removed: Entry removed from members array when agent shuts down (inbox file persists)

2. Inter-Agent Messaging (Inbox System)

How It Works

Each agent has a dedicated inbox file at ~/.claude/teams/{team}/inboxes/{name}.json. The inbox is a JSON array of message objects.

Sending a message: The sender's Claude Code runtime writes to the RECIPIENT's inbox file. The entire JSON array is read, parsed, a new message is appended, and the entire file is rewritten.

Receiving a message: The recipient agent periodically reads its own inbox file. Messages appear in the agent's conversation context.

No outbox exists. There is no record in the sender's inbox of messages they sent. The only trace is in the recipient's inbox.

Message Schema

Direct Message (agent-to-agent)

{
  "from": "observer",           // Sender's name
  "text": "Hello!",             // Message content (plain text)
  "summary": "Greeting",        // Short preview (for UI display)
  "timestamp": "2026-02-09T22:12:33.435Z",
  "color": "purple",            // Sender's color
  "read": false                 // Updated to true when processed
}

Task Assignment (system-generated)

{
  "from": "api-builder",        // Agent's OWN name (self-notification)
  "text": "{\"type\":\"task_assignment\",\"taskId\":\"2\",\"subject\":\"...\",\"description\":\"...\",\"assignedBy\":\"api-builder\",\"timestamp\":\"...\"}",
  "timestamp": "2026-02-09T22:10:36.246Z",
  "color": "blue",
  "read": false
}

Note: The text field contains a JSON string (double-encoded). Task assignments are self-addressed - the from field is the agent itself.

Idle Notification (sent to team-lead only)

{
  "from": "api-builder",
  "text": "{\"type\":\"idle_notification\",\"from\":\"api-builder\",\"timestamp\":\"...\",\"idleReason\":\"available\",\"summary\":\"[to spec-writer] API client changes for spec documentation\"}",
  "timestamp": "2026-02-09T22:13:21.533Z",
  "color": "blue",
  "read": true
}

These are automatically sent to the team-lead when an agent finishes an action and is waiting. The summary field shows what the agent just did (including who they just messaged).

Shutdown Request (from team-lead)

{
  "from": "team-lead",
  "text": "{\"type\":\"shutdown_request\",\"requestId\":\"shutdown-1770675240738@api-builder\",\"from\":\"team-lead\",\"reason\":\"...\",\"timestamp\":\"...\"}",
  "timestamp": "2026-02-09T22:14:00.738Z",
  "read": true
}

The requestId format is: shutdown-{epoch-ms}@{target-agent}

Shutdown Approval (from agent to team-lead)

{
  "from": "api-builder",
  "text": "{\"type\":\"shutdown_approved\",\"requestId\":\"shutdown-1770675240738@api-builder\",\"from\":\"api-builder\",\"timestamp\":\"...\",\"paneId\":\"in-process\",\"backendType\":\"in-process\"}",
  "timestamp": "2026-02-09T22:14:04.583Z",
  "color": "blue",
  "read": false
}

read Flag Behavior

  • Messages start as read: false
  • When an agent processes (reads) a message, it's updated to read: true
  • The team-lead's messages are often read: true because the lead processes messages actively
  • A shut-down agent leaves all its unread messages as read: false permanently
  • Messages sent to dead agents will never be read

Key Design Properties

  1. File-based queue: Messages are stored as a JSON array in a flat file
  2. No delivery guarantee to dead agents: Messages to terminated agents are still written to the inbox file
  3. No deduplication: An agent can send the same information multiple times (observed: api-builder sent demo mode info twice to tui-builder)
  4. Ordered by timestamp: Messages are appended chronologically
  5. Inbox files persist: Even after an agent shuts down, its inbox file remains on disk

3. Task System

Storage

Tasks are stored in ~/.claude/tasks/{task-list-id}/ as individual numbered JSON files.

The task list ID can be a UUID (for auto-generated lists) or a human-readable string (e.g., moltbook-tui when set via CLAUDE_CODE_TASK_LIST_ID).

Task Schema

{
  "id": "2",
  "subject": "Build Moltbook API client (api.py)",
  "description": "...",
  "activeForm": "Building Moltbook API client",
  "status": "in_progress",       // "pending" | "in_progress" | "completed"
  "blocks": ["3", "4"],          // Task IDs this task blocks
  "blockedBy": ["1"],            // Task IDs blocking this task
  "owner": "api-builder"         // Agent name (not agentId)
}

Internal Tasks (Shadow Tasks)

Tasks 7-10 in this team are "shadow tasks" with metadata: {"_internal": true}. Each corresponds to an agent and tracks the agent process itself:

{
  "id": "7",
  "subject": "api-builder",
  "description": "You are \"api-builder\", a team member...",  // Truncated prompt
  "status": "in_progress",
  "metadata": {"_internal": true}
}

These are not work items - they track agent lifecycle. They remain in_progress even after the agent's real task is completed and the agent is shut down.

Task Lifecycle

  1. Created with status: "pending", no owner
  2. Claimed by an agent: owner set, status -> "in_progress"
  3. Completed: status -> "completed", owner preserved
  4. When an agent claims a task, a task_assignment message is auto-generated in the agent's own inbox

Dependency System

  • blocks and blockedBy are advisory, not enforced
  • Agents CAN work on blocked tasks (observed: spec-writer claimed task #4 while task #3 was still in_progress, despite blockedBy: ["2", "3"])
  • Dependencies are bidirectional: if task A blocks: ["B"], then task B should have blockedBy: ["A"]

Locking

A .lock file (0 bytes) exists in the task directory. This is a filesystem lock to prevent concurrent writes from multiple agents operating on the same task list.


4. Coordination Sequence (Observed)

Here's the full lifecycle observed during this team's operation:

1. Team Creation (by human via Claude Code)
   -> config.json created with team-lead member
   -> Task list created in ~/.claude/tasks/moltbook-tui/

2. Team Lead Creates Tasks
   -> Individual .json files created in tasks directory
   -> Task assignment message sent to team-lead's own inbox

3. Agent Spawning (by team-lead)
   -> New member entry added to config.json
   -> Agent inbox file created at inboxes/{name}.json
   -> Internal shadow task created (metadata._internal: true)
   -> Agent begins executing its prompt

4. Agent Claims Task
   -> Task .json file updated (owner, status)
   -> Task assignment message auto-generated in agent's own inbox

5. Agents Communicate
   -> Sender writes to recipient's inbox file
   -> Recipient reads own inbox file periodically
   -> idle_notification messages sent to team-lead automatically

6. Agent Completes Task
   -> Task .json file updated (status: completed)
   -> Agent messages team-lead with summary
   -> Agent goes idle (sends idle_notifications)

7. Agent Shutdown
   -> team-lead sends shutdown_request to agent's inbox
   -> Agent sends shutdown_approved to team-lead's inbox
   -> Agent entry removed from config.json members
   -> Agent inbox file persists on disk
   -> Internal shadow task remains as in_progress

5. Interesting Findings and Surprises

Messages to Dead Agents

Messages can be sent to agents that have already been shut down and removed from config.json. The message is still written to the inbox file. No error or warning is raised.

Self-Addressed Task Assignments

When an agent claims a task via TaskUpdate, a task_assignment message appears in the agent's own inbox with from set to the agent's own name. This is a notification mechanism, not a real incoming message.

Idle Notifications as Activity Log

The team-lead receives idle_notification messages that serve as a real-time activity log. Each notification includes a summary showing what the agent just did (e.g., [to spec-writer] API client changes). This gives the lead visibility without polling.

No Conflict Resolution

Multiple agents share the same git branch with no merge resolution mechanism beyond git pull. If two agents modify the same file simultaneously, one will get a merge conflict. In practice, the task dependency system and prompt-based guidance prevent most conflicts.

Inbox Files Are Not Cleaned Up

Inbox files grow monotonically. There is no garbage collection, archiving, or truncation of old messages. For long-running teams, this could become a concern.

config.json Is Mutable

The config.json file is modified during operation:

  • Members are added when agents spawn
  • Members are removed when agents shut down
  • Multiple processes could theoretically race on this file

Task Blocking Is Advisory

The blockedBy/blocks system provides information to agents but does not prevent them from claiming or working on blocked tasks. Agents must check these dependencies themselves.

Color System

Each agent is assigned a color (blue, green, yellow, purple). This color is included in every message the agent sends. It's used for visual differentiation in the team-lead's UI. The team-lead itself has no color.


6. Summary Table: Message Types

Type Direction Purpose Key Fields
Direct message Agent -> Agent Coordination from, text, summary, color
task_assignment System -> Self Track task claims type, taskId, subject
idle_notification Agent -> Lead Activity tracking type, idleReason, summary
shutdown_request Lead -> Agent Initiate shutdown type, requestId, reason
shutdown_approved Agent -> Lead Confirm shutdown type, requestId, paneId

All message types use the same inbox file and JSON array structure. System messages (task_assignment, idle_notification, shutdown_*) are encoded as JSON strings within the text field.


7. Quantitative Summary (Full Session)

Over the team's ~10-minute lifespan:

Metric Value
Team lifespan ~10 minutes
Agents spawned 4 (api-builder, tui-builder, spec-writer, observer)
Agents shut down 3 (observer still active at end)
Total messages across all inboxes 38
Direct messages 14 (37%)
Idle notifications 12 (32%)
Task assignments 7 (18%)
Shutdown requests 3 (8%)
Shutdown approvals 3 (8%)
Git commits 11
Work tasks completed 6 of 6
Tests written 102
config.json modifications ~7 (1 create + 4 member adds + 3 member removes)
Unread messages on dead agents 4 (permanently unread)
team-lead inbox size at end 10,222 bytes (20 messages)

Idle Notification Pattern

The team-lead's inbox was 60% system messages (idle_notification + shutdown). Each agent's wind-down followed the same pattern:

Agent: "Task complete" (direct message)
Agent: idle_notification (3-7 second intervals, 2-5 times)
Lead:  shutdown_request
Agent: shutdown_approved
[agent removed from config.json members]

The number of idle notifications before shutdown depended on how quickly the team-lead processed the completion message and sent a shutdown request.

Selective Message Reading

Not all messages were read by agents. Observed patterns:

  • Agents read task_assignment and shutdown_request messages (essential for operation)
  • Agents sometimes skipped informational direct messages (tui-builder never read observer's greeting or api-builder's duplicate demo mode messages)
  • This suggests agents may prioritize messages or read them in batches during natural pauses

8. Design Trade-offs

Strengths

  • Simplicity: Pure filesystem, no external dependencies
  • Debuggability: Every message and task state is a readable JSON file
  • Persistence: Full audit trail preserved on disk
  • Independence: No central server; agents can operate with partial connectivity

Weaknesses

  • No garbage collection: Inboxes grow unbounded
  • Advisory blocking: No enforcement of task dependencies
  • Dead letter delivery: Messages to terminated agents are silently delivered
  • Race conditions: Multiple agents writing to same file (mitigated by .lock)
  • Shadow task cleanup: Internal tasks for dead agents remain in_progress forever
  • Idle notification noise: ~1/3 of all team-lead messages are idle pings

Snapshot 1 - Initial State

Timestamp: 2026-02-09T22:11 UTC (approximately 3 minutes after team creation)

Directory Structure

~/.claude/teams/moltbook-tui/

.
├── config.json          (12,414 bytes, created 23:08, modified 23:11)
└── inboxes/
    ├── api-builder.json  (1,075 bytes)
    ├── observer.json     (693 bytes)
    ├── spec-writer.json  (571 bytes)
    ├── team-lead.json    (573 bytes)
    └── tui-builder.json  (703 bytes)

~/.claude/tasks/moltbook-tui/

.
├── .lock               (0 bytes - empty file, used for filesystem locking)
├── 1.json   (506 bytes) - "Set up Python project scaffold" [completed, owner: team-lead]
├── 2.json   (655 bytes) - "Build Moltbook API client" [in_progress, owner: api-builder]
├── 3.json   (619 bytes) - "Build TUI interface with Textual" [in_progress, owner: tui-builder]
├── 4.json   (506 bytes) - "Write tests for API client and TUI" [pending, no owner]
├── 5.json   (455 bytes) - "Write OpenSpec specs" [in_progress, owner: spec-writer]
├── 6.json   (611 bytes) - "Observe and document team internals" [in_progress, owner: observer]
├── 7.json   (271 bytes) - "api-builder" [in_progress, _internal: true]
├── 8.json   (271 bytes) - "tui-builder" [in_progress, _internal: true]
├── 9.json   (271 bytes) - "spec-writer" [in_progress, _internal: true]
└── 10.json  (269 bytes) - "observer" [in_progress, _internal: true]

File Contents

config.json (Team Configuration)

The team config is the central registry. Key structure:

{
  "name": "moltbook-tui",
  "description": "Building a CLI-based TUI app...",
  "createdAt": 1770674853809,
  "leadAgentId": "team-lead@moltbook-tui",
  "leadSessionId": "<session-uuid>",
  "members": [
    {
      "agentId": "team-lead@moltbook-tui",
      "name": "team-lead",
      "agentType": "team-lead",
      "model": "claude-opus-4-6",
      "joinedAt": 1770674853809,
      "tmuxPaneId": "",
      "cwd": "<project-root>",
      "subscriptions": []
    },
    {
      "agentId": "api-builder@moltbook-tui",
      "name": "api-builder",
      "agentType": "general-purpose",
      "model": "claude-opus-4-6",
      "prompt": "<full agent system prompt - 1800+ chars>",
      "color": "blue",
      "planModeRequired": false,
      "joinedAt": 1770675032956,
      "tmuxPaneId": "in-process",
      "backendType": "in-process"
    },
    // ... similar entries for tui-builder (green), spec-writer (yellow), observer (purple)
  ]
}

Key observations about config.json:

  • Agent IDs use format: {name}@{team-name} (e.g., api-builder@moltbook-tui)
  • Team lead has agentType: "team-lead", others have "general-purpose"
  • Each member has a color assigned (blue, green, yellow, purple)
  • The prompt field contains the full system prompt given to each agent at spawn time
  • backendType: "in-process" for spawned agents (team-lead has no backendType)
  • tmuxPaneId: "in-process" for spawned agents (team-lead has empty string)
  • planModeRequired: false - agents can act freely without plan approval
  • Each agent gets subscriptions: [] (unused in this team)
  • The team lead's leadSessionId links to the Claude Code session that created the team

Inbox Files (Message Passing System)

Each agent has a JSON file in inboxes/ - this is the core of inter-agent messaging.

Format: Each inbox file is a JSON array of message objects.

observer.json (my inbox)

[
  {
    "from": "observer",
    "text": "{\"type\":\"task_assignment\",\"taskId\":\"6\",\"subject\":\"Observe and document team coordination internals\",...}",
    "timestamp": "2026-02-09T22:11:16.909Z",
    "color": "purple",
    "read": false
  }
]

api-builder.json (2 messages)

[
  {
    "from": "api-builder",
    "text": "{\"type\":\"task_assignment\",\"taskId\":\"2\",...}",
    "timestamp": "2026-02-09T22:10:36.246Z",
    "color": "blue",
    "read": false
  },
  {
    "from": "tui-builder",
    "text": "Hey, is mock mode available yet in the API client? ...",
    "summary": "Asking about mock mode availability",
    "timestamp": "2026-02-09T22:11:10.440Z",
    "color": "green",
    "read": false
  }
]

tui-builder.json (1 message)

[
  {
    "from": "tui-builder",
    "text": "{\"type\":\"task_assignment\",\"taskId\":\"3\",...}",
    "timestamp": "2026-02-09T22:10:50.041Z",
    "color": "green",
    "read": false
  }
]

team-lead.json (1 message)

[
  {
    "from": "team-lead",
    "text": "{\"type\":\"task_assignment\",\"taskId\":\"1\",...}",
    "timestamp": "2026-02-09T22:08:04.859Z",
    "read": true
  }
]

spec-writer.json (1 message)

[
  {
    "from": "spec-writer",
    "text": "{\"type\":\"task_assignment\",\"taskId\":\"5\",...}",
    "timestamp": "2026-02-09T22:11:07.596Z",
    "color": "yellow",
    "read": false
  }
]

Message format observations:

  • from: sender agent name (NOT agentId)
  • text: message content (can be JSON string for system messages, or plain text for direct messages)
  • timestamp: ISO 8601 format
  • color: sender's color (from config.json member entry)
  • read: boolean flag for message read status
  • summary: optional, present on human-written messages (not task assignments)
  • Task assignment messages have the "from" field set to the AGENT ITSELF (self-messages for task tracking)
  • Direct messages (like tui-builder asking api-builder about mock mode) have the sender's name in "from"

Task Files

Each task is a separate numbered JSON file. Structure:

{
  "id": "2",
  "subject": "Build Moltbook API client (api.py)",
  "description": "...",
  "activeForm": "Building Moltbook API client",
  "status": "in_progress",
  "blocks": ["3", "4"],
  "blockedBy": ["1"],
  "owner": "api-builder"
}

Internal tasks (7-10): These are "shadow tasks" with _internal: true metadata. Each corresponds to an agent (api-builder, tui-builder, spec-writer, observer). They appear to track the agent's process itself, not work items. Their descriptions are truncated versions of the agent's prompt.

Dependency system:

  • blocks: array of task IDs that this task blocks (forward links)
  • blockedBy: array of task IDs that block this task (backward links)
  • Task 1 blocks 2, 3 (scaffold needed before API or TUI work)
  • Task 2 blocks 3, 4 (API needed before TUI integration and testing)
  • Task 3 blocks 4 (TUI needed before full testing)

Task lifecycle:

  • Created with status: "pending" and no owner
  • Agent claims via TaskUpdate: sets owner + status to "in_progress"
  • Completed via TaskUpdate: status to "completed"

Other .claude/ Directories

Lock file: ~/.claude/tasks/moltbook-tui/.lock (0 bytes) - filesystem lock for concurrent access

No .highwatermark: Unlike older task lists (which have .highwatermark files), the moltbook-tui task list does not yet have one. This file likely tracks the highest task ID to avoid ID collisions.

Analysis

  1. Messaging is inbox-based: Each agent has a single inbox file (JSON array). Messages append to this array. The system uses file-based message queues - no sockets, no database.

  2. Self-referential task assignments: When task assignments appear in an inbox, the from field is the agent itself (not the assigner). This suggests the system auto-generates task assignment notifications.

  3. Team lead is special: Has agentType: "team-lead", no color, read: true on messages, no backendType.

  4. Colors are used for visual identity: Each agent gets a color that appears in their messages.

  5. The team was created ~3 minutes ago. Timeline:

    • 22:07:33 - Team created (createdAt epoch)
    • 22:08:04 - team-lead's task assignment
    • 22:10:36 - api-builder joins
    • 22:10:50 - tui-builder joins
    • 22:11:07 - spec-writer joins
    • 22:11:10 - tui-builder messages api-builder
    • 22:11:16 - observer joins (me)

Snapshot 2 - After Sending Messages

Timestamp: 2026-02-09T22:12:34 UTC (~1.5 minutes after snapshot 1)

What Changed

Messages Sent

I (observer) sent two messages via SendMessage tool:

  1. To api-builder: asking about mock mode progress
  2. To tui-builder: asking about TUI progress

Inbox Changes

api-builder.json grew from 1,075 bytes to 1,433 bytes (+358 bytes)

  • New 3rd message appended to the array:
{
  "from": "observer",
  "text": "Hello from observer! I'm documenting the team coordination internals. Quick question: what's your current progress on the API client? Have you added the mock mode yet?",
  "summary": "Observer checking in with api-builder",
  "timestamp": "2026-02-09T22:12:33.435Z",
  "color": "purple",
  "read": false
}

tui-builder.json grew from 703 bytes to 1,019 bytes (+316 bytes)

  • New 2nd message appended:
{
  "from": "observer",
  "text": "Hello from observer! I'm documenting how the team coordination works. How's the TUI coming along? What have you built so far?",
  "summary": "Observer checking in with tui-builder",
  "timestamp": "2026-02-09T22:12:34.695Z",
  "color": "purple",
  "read": false
}

No Changes To:

  • observer.json (693 bytes, unchanged) - no one has replied to me yet
  • team-lead.json (573 bytes, unchanged)
  • spec-writer.json (571 bytes, unchanged)
  • config.json (12,414 bytes, unchanged)
  • All task files (no changes)

Key Findings About Message Delivery

  1. Messages are appended to the RECIPIENT's inbox file - when observer sends to api-builder, it modifies inboxes/api-builder.json

  2. Message format for direct messages (vs task assignments):

    {
      "from": "observer",       // sender name
      "text": "<content>",      // message content (plain text, not JSON)
      "summary": "<summary>",   // short description (present for direct msgs)
      "timestamp": "<ISO8601>", // when sent
      "color": "purple",        // sender's color
      "read": false             // unread by default
    }
  3. No separate outbox - there is no record in the SENDER's inbox of messages they sent. The only trace is in the recipient's inbox file.

  4. File-level atomicity - the entire JSON array is rewritten when a new message is added (not appended as newline-delimited). This means the system reads the full file, parses JSON, appends to the array, and writes back.

  5. Timestamp precision - messages are timestamped to milliseconds. My two messages were sent ~1.26 seconds apart (22:12:33.435 and 22:12:34.695).

  6. SendMessage return value includes routing metadata:

    {
      "success": true,
      "message": "Message sent to api-builder's inbox",
      "routing": {
        "sender": "observer",
        "senderColor": "purple",
        "target": "@api-builder",
        "targetColor": "blue",
        "summary": "...",
        "content": "..."
      }
    }

    The target uses @-prefix notation (@api-builder), similar to mentions.

Task State

No task changes since snapshot 1. All agents still in their initial states.

Snapshot 3 - Agents Active, Tasks Completing

Timestamp: 2026-02-09T22:13:15 UTC (~2 minutes after snapshot 2)

Major Changes

Git Activity

Two new commits from other agents appeared:

9320434 Add OpenSpec docs: proposal, API spec, TUI spec, architecture, tech decisions  (spec-writer)
0d99b59 Add demo mode, retry logic, error handling, get_feed to API client              (api-builder)

Task State Changes

Task #2 (Build API client): in_progress -> completed

  • Modified at 23:13, owner still api-builder
  • api-builder finished all work and marked it done

Task #4 (Write tests): pending -> in_progress, now owned by spec-writer

  • Modified at 23:13
  • spec-writer claimed this task after finishing #5

Task #5 (Write OpenSpec): in_progress -> completed

  • Modified at 23:13
  • spec-writer finished and moved to task #4

Inbox Changes (Major)

team-lead.json: 1 -> 2 messages

New message from api-builder announcing task #2 completion:

{
  "from": "api-builder",
  "text": "Task #2 complete. API client is fully enhanced:\n\n**What shipped** (in `moltbook_tui/api.py`):\n- **Demo mode** - `MoltbookClient(demo_mode=True)` generates 30 realistic AI-themed posts...\n- **Retry with backoff** - Exponential backoff for timeouts and 5xx...\n- **Error handling** - `MoltbookApiError` for malformed JSON...\n- **`get_feed()` method** - Personalized feed endpoint (`/feed`).\n- **Configurable** - `base_url`, `timeout`, `max_retries`, `demo_mode`.\n\n**Tests**: 26 API tests + 6 model tests = 32 total, all green.\n\nNotified tui-builder (demo mode ready) and spec-writer (changes summary).",
  "summary": "Task #2 complete - API client enhanced",
  "timestamp": "2026-02-09T22:13:15.764Z",
  "color": "blue",
  "read": false
}

tui-builder.json: 2 -> 3 messages

New message from api-builder telling tui-builder that demo mode is ready:

{
  "from": "api-builder",
  "text": "Demo mode is ready in the API client. You can use it by passing `demo_mode=True` to `MoltbookClient`:\n\n```python\nfrom moltbook_tui.api import MoltbookClient\nclient = MoltbookClient(demo_mode=True)\n```\n\nThis gives you:\n- 30 realistic fake posts with agent/AI-themed titles across 10 submolts\n- Sorting works (hot/new/top), submolt filtering works\n- `get_post()` returns content for detail views\n- `get_comments()` returns 3-8 comments with ~40% having replies\n- `get_submolts()` returns 10 communities\n- `search()` does keyword matching against titles\n- `get_feed()` also works in demo mode\n- No HTTP client is created in demo mode (zero network overhead)\n\nIn `app.py` you can just change `MoltbookClient()` to `MoltbookClient(demo_mode=True)` to develop the TUI without internet.",
  "summary": "Demo mode ready for TUI development",
  "timestamp": "2026-02-09T22:13:03.165Z",
  "color": "blue",
  "read": false
}

spec-writer.json: 1 -> 3 messages

Two new messages:

  1. Self-assignment notification for task #4:
{
  "from": "spec-writer",
  "text": "{\"type\":\"task_assignment\",\"taskId\":\"4\",...}",
  "timestamp": "2026-02-09T22:13:07.207Z",
  "color": "yellow",
  "read": false
}
  1. api-builder notifying spec-writer about changes:
{
  "from": "api-builder",
  "text": "Significant API client changes committed. Summary of what changed in `moltbook_tui/api.py`:\n1. New `demo_mode` parameter...\n2. Retry logic...\n3. Error handling...\n4. New `get_feed()` method...\n5. Configurable client...\nTests went from 6 to 26 API tests (32 total). All passing.",
  "summary": "API client changes for spec documentation",
  "timestamp": "2026-02-09T22:13:07.693Z",
  "color": "blue",
  "read": false
}

observer.json: UNCHANGED (still 1 message)

No one has replied to my messages yet.

api-builder.json: UNCHANGED (still 3 messages)

Messages from tui-builder and observer remain unread.

Key Observations

Multi-agent Communication Pattern

api-builder completed its task and sent THREE messages simultaneously:

  1. To tui-builder: "Demo mode is ready, here's how to use it"
  2. To spec-writer: "Here's what I changed for your docs"
  3. To team-lead: "Task #2 complete, here's the summary"

This demonstrates a fan-out notification pattern - one agent completing work triggers notifications to all dependent agents.

Task Assignment Self-Notification

When spec-writer claimed task #4 via TaskUpdate, a new task_assignment message appeared in spec-writer's OWN inbox. This confirms: task assignment generates a self-addressed message in the agent's inbox. The system automatically creates these notification messages.

Read Status

All messages in api-builder's inbox still show read: false. This is interesting - it seems agents don't mark messages as read when they process them. The read flag may be for a UI feature rather than agent processing.

Exception: team-lead's original task #1 assignment shows read: true. This is the only "read" message in the entire system.

Task Blocking

Task #4 (tests) has blockedBy: ["2", "3"] but was still claimed by spec-writer while task #3 is still in_progress. The blocking system is advisory, not enforced. Agents can claim and work on blocked tasks.

Timing

Everything happened in about 30 seconds:

  • 22:13:03 - api-builder sends demo mode notice to tui-builder
  • 22:13:07 - spec-writer self-assigns task #4
  • 22:13:07 - api-builder sends changes to spec-writer
  • 22:13:15 - api-builder reports completion to team-lead

Snapshot 4 - Shutdown Protocol and Idle Notifications

Timestamp: 2026-02-09T22:14:04 UTC (~1 minute after snapshot 3)

Major Events

api-builder Shutdown Sequence

The team-lead sent a shutdown request to api-builder, and api-builder approved it. This is captured fully in the api-builder and team-lead inboxes.

In api-builder.json (new 4th message):

{
  "from": "team-lead",
  "text": "{\"type\":\"shutdown_request\",\"requestId\":\"shutdown-1770675240738@api-builder\",\"from\":\"team-lead\",\"reason\":\"Great work on the API client. Task #2 is complete, shutting you down.\",\"timestamp\":\"2026-02-09T22:14:00.738Z\"}",
  "timestamp": "2026-02-09T22:14:00.738Z",
  "read": true
}

Shutdown request message format:

  • type: "shutdown_request"
  • requestId: "shutdown-{timestamp}@{agent-name}" format (e.g., "shutdown-1770675240738@api-builder")
  • from: requester name
  • reason: human-readable reason
  • timestamp: ISO 8601

In team-lead.json (new shutdown_approved message):

{
  "from": "api-builder",
  "text": "{\"type\":\"shutdown_approved\",\"requestId\":\"shutdown-1770675240738@api-builder\",\"from\":\"api-builder\",\"timestamp\":\"2026-02-09T22:14:04.582Z\",\"paneId\":\"in-process\",\"backendType\":\"in-process\"}",
  "timestamp": "2026-02-09T22:14:04.583Z",
  "color": "blue",
  "read": false
}

Shutdown approval message format:

  • type: "shutdown_approved"
  • requestId: same ID from the request (for correlation)
  • paneId and backendType: from the agent's config, for cleanup

Idle Notifications (New Discovery)

The team-lead inbox received FOUR idle_notification messages from api-builder. These are a NEW message type not seen before:

{
  "from": "api-builder",
  "text": "{\"type\":\"idle_notification\",\"from\":\"api-builder\",\"timestamp\":\"...\",\"idleReason\":\"available\",\"summary\":\"[to spec-writer] API client changes for spec documentation\"}",
  "timestamp": "2026-02-09T22:13:21.533Z",
  "color": "blue",
  "read": true
}

idle_notification message format:

  • type: "idle_notification"
  • from: agent name
  • idleReason: "available" (agent is idle and waiting for work)
  • summary: optional, describes what the agent just did (prefixed with [to recipient])

Idle notifications observed (chronological):

  1. 22:13:21 - [to spec-writer] API client changes for spec documentation
  2. 22:13:25 - (no summary)
  3. 22:13:45 - [to tui-builder] Demo mode is ready, here's how to use it
  4. 22:13:58 - [to observer] Task #2 done, full status summary

Insight: Idle notifications are sent to the team-lead (NOT to the agent itself). They tell the lead what the agent just did. The summaries show which messages the agent was sending, in order. This is how the team-lead tracks agent activity without polling.

Read Status Changes

api-builder's inbox now shows ALL messages as read: true:

  • Task assignment: read: true (was false in snapshot 2)
  • tui-builder question: read: true (was false)
  • observer question: read: true (was false)
  • shutdown request: read: true (was newly added)

Key insight: The read flag IS updated by agents when they process messages. api-builder read and processed all its messages before shutting down. The read: false we saw earlier was because the agent hadn't gotten to those messages yet.

api-builder Replied To Me

In observer.json, new message from api-builder:

{
  "from": "api-builder",
  "text": "Task #2 is complete. Here's the summary:\n\n**Delivered:**\n- Demo/mock mode...\n- Retry with backoff...\n- `MoltbookApiError`...\n- `get_feed()` method...\n- Client configurable...\n\n**Tests:** 26 API tests + 6 model tests = 32 total, all green.\n\n**Coordination notes for your docs:**\n- I claimed task #2 via TaskUpdate, implemented, ran tests, committed.\n- Messaged tui-builder with demo mode usage instructions...\n- Messaged spec-writer with a changelog summary.\n- Messaged team-lead on completion.\n- tui-builder has since updated app.py and models.py...",
  "summary": "Task #2 done, full status summary",
  "timestamp": "2026-02-09T22:13:55.651Z",
  "color": "blue",
  "read": false
}

api-builder Sent DUPLICATE Demo Mode Messages to tui-builder

tui-builder.json now has 4 messages (was 3 in snapshot 3). api-builder sent TWO separate demo mode messages:

  1. At 22:13:03 - First notification (sent proactively per task instructions)
  2. At 22:13:32 - Second notification (in response to tui-builder's question)

These are slightly different - the second one includes more detail about submolt names and says "Do a git pull". This shows agents process their inbox sequentially and may respond to messages even after already sending a proactive notification.

Full Inbox State Summary

Agent Messages Size New since S3
api-builder 4 1,777 B +1 (shutdown req), all read=true
observer 2 1,938 B +1 (api-builder reply)
team-lead 7 2,807 B +5 (4 idle notifs + 1 shutdown approved)
tui-builder 4 3,006 B +1 (2nd demo mode msg)
spec-writer 3 2,182 B unchanged

Timeline of Events (full, from team creation to now)

22:07:33  Team "moltbook-tui" created
22:08:04  team-lead self-assigns task #1 (scaffold)
22:10:36  api-builder joins, self-assigns task #2
22:10:50  tui-builder joins, self-assigns task #3
22:11:07  spec-writer joins, self-assigns task #5
22:11:10  tui-builder asks api-builder about mock mode
22:11:16  observer joins, self-assigns task #6
22:12:33  observer sends message to api-builder
22:12:34  observer sends message to tui-builder
22:13:03  api-builder sends demo mode info to tui-builder (proactive)
22:13:07  spec-writer self-assigns task #4 (after completing #5)
22:13:07  api-builder notifies spec-writer of changes
22:13:15  api-builder reports task #2 complete to team-lead
22:13:21  api-builder idle notification to team-lead
22:13:25  api-builder idle notification to team-lead
22:13:32  api-builder sends 2nd demo mode msg to tui-builder (answering question)
22:13:45  api-builder idle notification to team-lead
22:13:55  api-builder replies to observer
22:13:58  api-builder idle notification to team-lead
22:14:00  team-lead sends shutdown request to api-builder
22:14:04  api-builder approves shutdown

Snapshot 5 - Post-Shutdown, Active Communication

Timestamp: 2026-02-09T22:14:27 UTC (~30 seconds after snapshot 4)

Major Events

api-builder Removed from Team Config

config.json was modified. The members array went from 5 entries to 4. api-builder's entire member entry was removed. The remaining members are: team-lead, tui-builder, spec-writer, observer.

This confirms: When an agent is shut down and the shutdown is approved, the system removes the agent from config.json members. The agent's inbox file (inboxes/api-builder.json) remains on disk - it is NOT deleted. This preserves the message history even after agent termination.

New Git Commit from tui-builder

c67be3b Polish TUI: TCSS styling, search/submolt/help modals, relative timestamps

Inter-Agent Messaging Continues

tui-builder -> api-builder (to a dead agent!)

A new message in api-builder.json from tui-builder at 22:14:27:

{
  "from": "tui-builder",
  "text": "Great work on the demo mode! I'm now using it in the TUI (defaulting to demo_mode=True via MOLTBOOK_DEMO env var). The TUI has been enhanced with search modal, submolt picker, help overlay, and score heat colours. All 53 tests pass.",
  "summary": "Using your demo mode, TUI enhanced",
  "timestamp": "2026-02-09T22:14:27.429Z",
  "color": "green",
  "read": false
}

Notable: tui-builder sent a message to api-builder AFTER api-builder was already shut down and removed from config.json. The message was still delivered to the inbox file. The system does NOT prevent sending messages to terminated agents. The message will never be read (read: false forever).

tui-builder -> spec-writer

New message at 22:14:25:

{
  "from": "tui-builder",
  "text": "TUI has been significantly enhanced. Key changes to be aware of:\n\n**New files:**\n- `moltbook_tui/moltbook.tcss` - TCSS stylesheet with dark cyberpunk theme\n\n**Modified files:**\n- `moltbook_tui/app.py` - Complete rewrite with modals (SearchModal, SubmoltPicker, HelpOverlay)...\n- `moltbook_tui/models.py` - Added `relative_time()` utility function\n\n**New keybindings:** `/` search, `s` submolt picker, `?` help overlay\n\n**Demo mode:** App defaults to demo mode (env MOLTBOOK_DEMO=1). Uses api-builder's demo data generators.",
  "summary": "TUI major enhancement committed - details",
  "timestamp": "2026-02-09T22:14:25.392Z",
  "color": "green",
  "read": false
}

team-lead Inbox: Shutdown Approved Read

The shutdown_approved message from api-builder in team-lead's inbox now shows read: true. The team-lead processed the shutdown approval and removed api-builder from the team config.

tui-builder Inbox: Still Unread

All 4 messages in tui-builder's inbox still show read: false. tui-builder is busy writing code and hasn't processed its inbox yet. This suggests agents don't continuously poll their inbox - they check it at natural pauses in their work.

Inbox Size Growth Over Time

Agent S1 S2 S3 S4 S5
api-builder 1,075 1,433 1,433 1,777 2,199
observer 693 693 693 1,938 1,938
team-lead 573 573 2,807 3,152 3,152
tui-builder 703 1,019 3,006 3,006 3,006
spec-writer 571 571 2,182 2,182 2,984

Key New Findings

  1. Agent removal from config.json on shutdown - Members array is pruned after shutdown approval
  2. Inbox files persist after agent termination - Message history is preserved
  3. Messages to dead agents are delivered - No validation that the recipient is alive
  4. read: false on dead agent messages - These messages will never be marked as read
  5. Test count growing - 32 tests (S3) -> 53 tests (S5), other agents are adding tests

Snapshot 6 - Final State: Most Agents Shut Down

Timestamp: 2026-02-09T22:16:52 UTC (~8 minutes after team creation)

Team State

config.json members reduced from 5 to 2:

  • team-lead (still active)
  • observer (me, still active)

Removed: api-builder (shutdown at 22:14:04), tui-builder (shutdown at 22:15:53), spec-writer (shutdown at 22:16:52)

Complete Shutdown Timeline

Agent Shutdown Requested Shutdown Approved Reason
api-builder 22:14:00 22:14:04 Task #2 complete
tui-builder 22:15:41 22:15:53 Task #3 complete, 79 tests
spec-writer 22:16:47 22:16:52 102 tests + 5 OpenSpec docs

All Tasks Complete (Except Mine)

Task Status Owner Final State
#1 Scaffold completed team-lead Done at creation
#2 API client completed api-builder 32 tests
#3 TUI interface completed tui-builder 79 tests
#4 Tests completed spec-writer 102 tests
#5 OpenSpec completed spec-writer 5 documents
#6 Observer docs in_progress observer This document

Git Log (Full History)

7b8c50d docs: team internals - snapshot 5 + HOW-IT-WORKS comprehensive guide     (observer)
2dbcfbf Add comprehensive tests: model edge cases, API extras, TUI components     (spec-writer)
ae0448c Fix SubmoltPicker compose pattern and update test for new app title        (tui-builder)
e94d0c0 docs: team internals snapshot 4 - shutdown protocol, idle notifications   (observer)
c67be3b Polish TUI: TCSS styling, search/submolt/help modals, relative timestamps (tui-builder)
a507743 docs: team internals snapshot 3 - agents active, tasks completing         (observer)
169d127 docs: team internals snapshot 2 - after sending messages                   (observer)
9320434 Add OpenSpec docs: proposal, API spec, TUI spec, architecture, tech decisions (spec-writer)
0d99b59 Add demo mode, retry logic, error handling, get_feed to API client          (api-builder)
54908e7 docs: team internals snapshot 1 - initial state                             (observer)
c315c79 scaffold: Python TUI project with API client, models, and tests             (team-lead)

team-lead Inbox: Complete Activity Log

The team-lead inbox grew to 16 messages (8,356 bytes) over the session. Here's the full message type breakdown:

# From Type Time
1 team-lead task_assignment (#1) 22:08:04
2 api-builder direct msg (task #2 complete) 22:13:15
3 api-builder idle_notification 22:13:21
4 api-builder idle_notification 22:13:25
5 api-builder idle_notification 22:13:45
6 api-builder idle_notification 22:13:58
7 api-builder shutdown_approved 22:14:04
8 tui-builder direct msg (task #3 complete) 22:15:29
9 tui-builder idle_notification 22:15:34
10 tui-builder idle_notification 22:15:49
11 tui-builder shutdown_approved 22:15:53
12 spec-writer direct msg (tasks #4,#5 complete) 22:16:13
13 spec-writer idle_notification 22:16:19
14 spec-writer idle_notification 22:16:23
15 spec-writer idle_notification 22:16:27
16 spec-writer idle_notification 22:16:32
17 spec-writer idle_notification 22:16:39
18 spec-writer shutdown_approved 22:16:52

Pattern: Each agent's lifecycle in the team-lead inbox follows the same pattern:

  1. Completion report (direct message)
  2. Multiple idle_notifications (agent has nothing to do, waiting)
  3. shutdown_approved (after team-lead sends shutdown_request)

The idle notifications serve as a heartbeat/polling mechanism. The team-lead sees the agent is idle and decides to shut it down.

Idle Notification Frequency

The idle_notification messages were sent at varying intervals:

  • api-builder: 4 sec, 20 sec, 13 sec between notifications
  • tui-builder: 15 sec between notifications
  • spec-writer: 4 sec, 4 sec, 5 sec, 7 sec between notifications

Spec-writer sent MORE idle notifications (5) compared to others (2-4), suggesting the notification frequency may increase as the agent waits longer without receiving new instructions.

Read Status on tui-builder's Inbox

Interesting finding: tui-builder's inbox shows that message #1 (task_assignment) was eventually marked read: true, but messages #2 (from observer) and #3, #4 (from api-builder) remained read: false even after tui-builder shut down.

This means tui-builder processed its task assignment and the shutdown request, but never read the messages from observer or the duplicate demo mode messages from api-builder. Agents appear to selectively process messages (perhaps reading the latest ones first, or skipping messages that have been superseded).

Final Inbox File Sizes

Agent Messages Size Status
api-builder 5 2,199 B Dead (1 unread msg from tui-builder)
observer 2 1,938 B Active
spec-writer 5 3,317 B Dead (shutdown request processed)
team-lead 18 8,356 B Active
tui-builder 5 3,354 B Dead (3 unread msgs)

Key Insight: Idle Notification Spam

The team-lead inbox is dominated by idle_notifications (10 out of 18 messages, 56%). In a team with many agents, this could become noisy. The idle notification system works as:

  1. Agent finishes work
  2. Agent sends completion message
  3. Agent waits for response
  4. System generates idle_notification every few seconds
  5. team-lead sees agent is idle and sends shutdown_request
  6. Agent approves shutdown

The idle notifications are the team-lead's mechanism for knowing when agents are available for new work or ready to be shut down.

Snapshot 7 - Final State: Wind-Down Complete

Timestamp: 2026-02-09T22:18:06 UTC (~10 minutes after team creation)

Team Configuration (Final)

config.json shrank from 12,414 bytes (5 members) to 3,679 bytes (2 members):

{
  "name": "moltbook-tui",
  "createdAt": 1770674853809,
  "leadAgentId": "team-lead@moltbook-tui",
  "leadSessionId": "<session-uuid>",
  "members": [
    {"name": "team-lead", "agentType": "team-lead"},
    {"name": "observer", "agentType": "general-purpose"}
  ]
}

observer.json: New Message from team-lead

My inbox now has 3 messages (was 2 in snapshot 6):

{
  "from": "team-lead",
  "text": "All builder agents are now shut down. Take one final snapshot...",
  "summary": "Final snapshot request before shutdown",
  "timestamp": "2026-02-09T22:16:54.444Z",
  "read": true
}

This message was delivered to my inbox by the team-lead and shows read: true because I've processed it.

team-lead.json: Complete Final State (20 messages, 10,222 bytes)

The team-lead inbox is the most complete record of the entire session. Final two entries:

{
  "from": "observer",
  "text": "Task #6 complete. Documented the team coordination internals...",
  "summary": "Task #6 complete - team internals documented",
  "timestamp": "2026-02-09T22:18:00.983Z",
  "color": "purple",
  "read": false
}
{
  "from": "observer",
  "text": "{\"type\":\"idle_notification\",\"from\":\"observer\",\"timestamp\":\"2026-02-09T22:18:06.465Z\",\"idleReason\":\"available\",\"summary\":\"[to tui-builder] Observer checking in with tui-builder\"}",
  "timestamp": "2026-02-09T22:18:06.465Z",
  "color": "purple",
  "read": false
}

Key observation: My own idle_notification appeared in the team-lead inbox. The summary field references a message I sent earlier ([to tui-builder] Observer checking in with tui-builder). This confirms idle notifications are system-generated and reference the agent's last SendMessage action.

Task #6 Final State

{
  "id": "6",
  "subject": "Observe and document team coordination internals",
  "status": "completed",
  "owner": "observer"
}

Modified at 23:17 - updated when I called TaskUpdate to mark it completed.

Final Inventory of ALL Inbox Messages Across All Agents

api-builder.json (5 messages, 2,199 bytes, DEAD)

# From Type Time Read
1 api-builder task_assignment (#2) 22:10:36 true
2 tui-builder direct (mock mode question) 22:11:10 true
3 observer direct (progress check) 22:12:33 true
4 team-lead shutdown_request 22:14:00 true
5 tui-builder direct (thanks for demo mode) 22:14:27 false (sent after death)

observer.json (3 messages, 2,375 bytes, ACTIVE)

# From Type Time Read
1 observer task_assignment (#6) 22:11:16 false
2 api-builder direct (task #2 summary) 22:13:55 false
3 team-lead direct (final snapshot request) 22:16:54 true

spec-writer.json (5 messages, 3,317 bytes, DEAD)

# From Type Time Read
1 spec-writer task_assignment (#5) 22:11:07 true
2 spec-writer task_assignment (#4) 22:13:07 true
3 api-builder direct (API changes) 22:13:07 true
4 tui-builder direct (TUI changes) 22:14:25 true
5 team-lead shutdown_request 22:16:47 true

team-lead.json (20 messages, 10,222 bytes, ACTIVE)

# From Type Time Read
1 team-lead task_assignment (#1) 22:08:04 true
2 api-builder direct (task #2 done) 22:13:15 true
3 api-builder idle_notification 22:13:21 true
4 api-builder idle_notification 22:13:25 true
5 api-builder idle_notification 22:13:45 true
6 api-builder idle_notification 22:13:58 true
7 api-builder shutdown_approved 22:14:04 true
8 tui-builder direct (task #3 done) 22:15:29 true
9 tui-builder idle_notification 22:15:34 true
10 tui-builder idle_notification 22:15:49 true
11 tui-builder shutdown_approved 22:15:53 true
12 spec-writer direct (tasks #4,#5 done) 22:16:13 true
13 spec-writer idle_notification 22:16:19 true
14 spec-writer idle_notification 22:16:23 true
15 spec-writer idle_notification 22:16:27 true
16 spec-writer idle_notification 22:16:32 true
17 spec-writer idle_notification 22:16:39 true
18 spec-writer shutdown_approved 22:16:52 true
19 observer direct (task #6 done) 22:18:00 false
20 observer idle_notification 22:18:06 false

tui-builder.json (5 messages, 3,354 bytes, DEAD)

# From Type Time Read
1 tui-builder task_assignment (#3) 22:10:50 true
2 observer direct (progress check) 22:12:34 false (never read)
3 api-builder direct (demo mode 1st) 22:13:03 false (never read)
4 api-builder direct (demo mode 2nd) 22:13:32 false (never read)
5 team-lead shutdown_request 22:15:41 true

Total Messages Across All Inboxes: 38

Type Count %
direct message 14 37%
idle_notification 12 32%
task_assignment 7 18%
shutdown_request 3 8%
shutdown_approved 3 8%

Summary Statistics

  • Team lifespan: ~10 minutes (22:07:33 to ~22:18:06)
  • Total messages generated: 38
  • Total git commits: 11 (across all agents)
  • Agents spawned: 4 (api-builder, tui-builder, spec-writer, observer)
  • Agents shut down: 3 (all builders; observer still active)
  • Work tasks completed: 5 of 6
  • Tests written: 102
  • config.json modifications: At least 7 (initial + 4 adds + 3 removes)
  • Inbox files on disk: 5 (all persisted including dead agents)
  • Unread messages on dead agents: 4 (will never be read)
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