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s01 > s02 > s03 > s04 > s05 > s06 | s07 > s08 > [ s09 ] s10 > s11 > s12

"When the task is too big for one, delegate to teammates" -- persistent teammates + async mailboxes.

Problem

Subagents (s04) are disposable: spawn, work, return summary, die. No identity, no memory between invocations. Background tasks (s08) run shell commands but can't make LLM-guided decisions.

Real teamwork needs: (1) persistent agents that outlive a single prompt, (2) identity and lifecycle management, (3) a communication channel between agents.

Solution

Teammate lifecycle:
  spawn -> WORKING -> IDLE -> WORKING -> ... -> SHUTDOWN

Communication:
  .team/
    config.json           <- team roster + statuses
    inbox/
      alice.jsonl         <- append-only, drain-on-read
      bob.jsonl
      lead.jsonl

              +--------+    send("alice","bob","...")    +--------+
              | alice  | -----------------------------> |  bob   |
              | loop   |    bob.jsonl << {json_line}    |  loop  |
              +--------+                                +--------+
                   ^                                         |
                   |        BUS.read_inbox("alice")          |
                   +---- alice.jsonl -> read + drain ---------+

How It Works

1. TeammateManager maintains config.json with the team roster.

class TeammateManager:
    def __init__(self, team_dir: Path):
        self.dir = team_dir
        self.dir.mkdir(exist_ok=True)
        self.config_path = self.dir / "config.json"
        self.config = self._load_config()
        self.threads = {}

1. spawn() creates a teammate and starts its agent loop in a thread.

def spawn(self, name: str, role: str, prompt: str) -> str:
    member = {"name": name, "role": role, "status": "working"}
    self.config["members"].append(member)
    self._save_config()
    thread = threading.Thread(
        target=self._teammate_loop,
        args=(name, role, prompt), daemon=True)
    thread.start()
    return f"Spawned teammate '{name}' (role: {role})"

1. MessageBus: append-only JSONL inboxes. send() appends a JSON line; read_inbox() reads all and drains.

class MessageBus:
    def send(self, sender, to, content, msg_type="message", extra=None):
        msg = {"type": msg_type, "from": sender,
               "content": content, "timestamp": time.time()}
        if extra:
            msg.update(extra)
        with open(self.dir / f"{to}.jsonl", "a") as f:
            f.write(json.dumps(msg) + "\n")

    def read_inbox(self, name):
        path = self.dir / f"{name}.jsonl"
        if not path.exists(): return "[]"
        msgs = [json.loads(l) for l in path.read_text().strip().splitlines() if l]
        path.write_text("")  # drain
        return json.dumps(msgs, indent=2)

1. Each teammate checks its inbox before every LLM call, injecting received messages into context.

def _teammate_loop(self, name, role, prompt):
    messages = [{"role": "user", "content": prompt}]
    for _ in range(50):
        inbox = BUS.read_inbox(name)
        if inbox != "[]":
            messages.append({"role": "user",
                "content": f"<inbox>{inbox}</inbox>"})
            messages.append({"role": "assistant",
                "content": "Noted inbox messages."})
        response = client.messages.create(...)
        if response.stop_reason != "tool_use":
            break
        # execute tools, append results...
    self._find_member(name)["status"] = "idle"

What Changed From s08

Component	Before (s08)	After (s09)
Tools	6	9 (+spawn/send/read_inbox)
Agents	Single	Lead + N teammates
Persistence	None	config.json + JSONL inboxes
Threads	Background cmds	Full agent loops per thread
Lifecycle	Fire-and-forget	idle -> working -> idle
Communication	None	message + broadcast

Try It

python agents/s09_agent_teams.py

1. Spawn alice (coder) and bob (tester). Have alice send bob a message.
2. Broadcast "status update: phase 1 complete" to all teammates
3. Check the lead inbox for any messages
4. Type /team to see the team roster with statuses
5. Type /inbox to manually check the lead's inbox