# 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 + JSONL mailboxes. > > **Harness layer**: Team mailboxes -- multiple models, coordinated through files. ## 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 three things: (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 the team roster via config.json. ```java // src/main/java/io/mybatis/learn/s09/TeammateManager.java public class TeammateManager { private final ChatModel chatModel; private final MessageBus bus; private final Path configPath; private final ObjectMapper mapper = new ObjectMapper(); private Map config; // Python uses threading.Thread + dict; Java uses ConcurrentHashMap for natural thread safety private final Map threads = new ConcurrentHashMap<>(); public TeammateManager(ChatModel chatModel, MessageBus bus, Path teamDir) { this.chatModel = chatModel; this.bus = bus; this.configPath = teamDir.resolve("config.json"); Files.createDirectories(teamDir); this.config = loadConfig(); } ``` 2. `spawn()` creates a teammate and starts its agent loop in a thread. ```java // Python uses threading.Thread; Java uses Thread.startVirtualThread() for virtual threads public synchronized String spawn(String name, String role, String prompt) { Map member = new LinkedHashMap<>(); member.put("name", name); member.put("role", role); member.put("status", "working"); ((List>) config.get("members")).add(member); saveConfig(); // Virtual thread: lightweight, JVM-scheduled, doesn't occupy OS threads Thread thread = Thread.startVirtualThread( () -> teammateLoop(name, role, prompt)); threads.put(name, thread); return "Spawned '" + name + "' (role: " + role + ")"; } ``` 3. MessageBus: append-only JSONL inboxes. `send()` appends a JSON line; `read_inbox()` reads all and drains. ```java // src/main/java/io/mybatis/learn/core/team/MessageBus.java // Python relies on GIL for implicit thread safety; Java uses synchronized for explicit safety public class MessageBus { private final Path inboxDir; private final ObjectMapper mapper = new ObjectMapper(); public synchronized String send(String sender, String to, String content, String msgType, Map extra) { Map msg = new LinkedHashMap<>(); msg.put("type", msgType); msg.put("from", sender); msg.put("content", content); msg.put("timestamp", System.currentTimeMillis() / 1000.0); if (extra != null) msg.putAll(extra); Path inbox = inboxDir.resolve(to + ".jsonl"); Files.writeString(inbox, mapper.writeValueAsString(msg) + "\n", StandardOpenOption.CREATE, StandardOpenOption.APPEND); return "Sent " + msgType + " to " + to; } public synchronized List> readInbox(String name) { Path inbox = inboxDir.resolve(name + ".jsonl"); if (!Files.exists(inbox)) return List.of(); List> messages = new ArrayList<>(); for (String line : Files.readAllLines(inbox)) { if (!line.isBlank()) messages.add(mapper.readValue(line, new TypeReference<>() {})); } Files.writeString(inbox, ""); // drain return messages; } } ``` 4. Each teammate checks its inbox between `call()` invocations, injecting messages into context. ChatClient's `call()` is equivalent to Python's full tool loop (looping until `stop_reason != "tool_use"`). ```java // Python teammates check inbox before each LLM call; Java checks between each call() protected void teammateLoop(String name, String role, String initialPrompt) { String sysPrompt = String.format( "You are '%s', role: %s. Use send_message to communicate.", name, role); var messageTool = new TeammateMessageTool(bus, name); ChatClient client = ChatClient.builder(chatModel) .defaultSystem(sysPrompt) .defaultTools(new BashTool(), new ReadFileTool(), new WriteFileTool(), new EditFileTool(), messageTool) .build(); // Initial work (call() = full tool chain, equivalent to Python loop until stop_reason != "tool_use") String response = client.prompt(initialPrompt).call().content(); // Check inbox between each call() (vs. Python's between each LLM call) for (int round = 0; round < 50; round++) { Thread.sleep(2000); var inbox = bus.readInbox(name); if (inbox.isEmpty()) break; String inboxJson = mapper.writeValueAsString(inbox); response = client.prompt("" + inboxJson + "").call().content(); } setStatus(name, "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 mvn exec:java -Dexec.mainClass=io.mybatis.learn.s09.S09AgentTeams ``` Try these prompts (English prompts work better with LLMs, but Chinese also works): 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