# s09: Agent Teams `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. ```python 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 = {} ``` 2. `spawn()` creates a teammate and starts its agent loop in a thread. ```python 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})" ``` 3. MessageBus: append-only JSONL inboxes. `send()` appends a JSON line; `read_inbox()` reads all and drains. ```python 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) ``` 4. Each teammate checks its inbox before every LLM call, injecting received messages into context. ```python 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}"}) 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 ```sh cd learn-claude-code 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