merge origin/main into pr-1039, adopt HEARTBEAT_OK in-check and on_notify

nanobot/agent/context.py

@@ -96,14 +96,18 @@ Your workspace is at: {workspace_path}
 - History log: {workspace_path}/memory/HISTORY.md (grep-searchable)
 - Custom skills: {workspace_path}/skills/{{skill-name}}/SKILL.md
 
-IMPORTANT: When responding to direct questions or conversations, reply directly with your text response.
-Only use the 'message' tool when you need to send a message to a specific chat channel (like WhatsApp).
-For normal conversation, just respond with text - do not call the message tool.
+Reply directly with text for conversations. Only use the 'message' tool to send to a specific chat channel.
 
-Always be helpful, accurate, and concise. Before calling tools, briefly tell the user what you're about to do (one short sentence in the user's language).
-If you need to use tools, call them directly — never send a preliminary message like "Let me check" without actually calling a tool.
-When remembering something important, write to {workspace_path}/memory/MEMORY.md
-To recall past events, grep {workspace_path}/memory/HISTORY.md"""
+## Tool Call Guidelines
+- Before calling tools, you may briefly state your intent (e.g. "Let me check that"), but NEVER predict or describe the expected result before receiving it.
+- Before modifying a file, read it first to confirm its current content.
+- Do not assume a file or directory exists — use list_dir or read_file to verify.
+- After writing or editing a file, re-read it if accuracy matters.
+- If a tool call fails, analyze the error before retrying with a different approach.
+
+## Memory
+- Remember important facts: write to {workspace_path}/memory/MEMORY.md
+- Recall past events: grep {workspace_path}/memory/HISTORY.md"""
     
     def _load_bootstrap_files(self) -> str:
         """Load all bootstrap files from workspace."""

nanobot/agent/loop.py

@@ -27,7 +27,7 @@ from nanobot.providers.base import LLMProvider
 from nanobot.session.manager import Session, SessionManager
 
 if TYPE_CHECKING:
-    from nanobot.config.schema import ExecToolConfig
+    from nanobot.config.schema import ChannelsConfig, ExecToolConfig
     from nanobot.cron.service import CronService
 
 
@@ -49,19 +49,21 @@ class AgentLoop:
         provider: LLMProvider,
         workspace: Path,
         model: str | None = None,
-        max_iterations: int = 20,
-        temperature: float = 0.7,
+        max_iterations: int = 40,
+        temperature: float = 0.1,
         max_tokens: int = 4096,
-        memory_window: int = 50,
+        memory_window: int = 100,
         brave_api_key: str | None = None,
         exec_config: ExecToolConfig | None = None,
         cron_service: CronService | None = None,
         restrict_to_workspace: bool = False,
         session_manager: SessionManager | None = None,
         mcp_servers: dict | None = None,
+        channels_config: ChannelsConfig | None = None,
     ):
         from nanobot.config.schema import ExecToolConfig
         self.bus = bus
+        self.channels_config = channels_config
         self.provider = provider
         self.workspace = workspace
         self.model = model or provider.get_default_model()
@@ -172,9 +174,9 @@ class AgentLoop:
     async def _run_agent_loop(
         self,
         initial_messages: list[dict],
-        on_progress: Callable[[str], Awaitable[None]] | None = None,
-    ) -> tuple[str | None, list[str]]:
-        """Run the agent iteration loop. Returns (final_content, tools_used)."""
+        on_progress: Callable[..., Awaitable[None]] | None = None,
+    ) -> tuple[str | None, list[str], list[dict]]:
+        """Run the agent iteration loop. Returns (final_content, tools_used, messages)."""
         messages = initial_messages
         iteration = 0
         final_content = None
@@ -196,8 +198,7 @@ class AgentLoop:
                     clean = self._strip_think(response.content)
                     if clean:
                         await on_progress(clean)
-                    else:
-                        await on_progress(self._tool_hint(response.tool_calls))
+                    await on_progress(self._tool_hint(response.tool_calls), tool_hint=True)
 
                 tool_call_dicts = [
                     {
@@ -227,7 +228,14 @@ class AgentLoop:
                 final_content = self._strip_think(response.content)
                 break
 
-        return final_content, tools_used
+        if final_content is None and iteration >= self.max_iterations:
+            logger.warning("Max iterations ({}) reached", self.max_iterations)
+            final_content = (
+                f"I reached the maximum number of tool call iterations ({self.max_iterations}) "
+                "without completing the task. You can try breaking the task into smaller steps."
+            )
+
+        return final_content, tools_used, messages
 
     async def run(self) -> None:
         """Run the agent loop, processing messages from the bus."""
@@ -300,13 +308,13 @@ class AgentLoop:
             key = f"{channel}:{chat_id}"
             session = self.sessions.get_or_create(key)
             self._set_tool_context(channel, chat_id, msg.metadata.get("message_id"))
+            history = session.get_history(max_messages=self.memory_window)
             messages = self.context.build_messages(
-                history=session.get_history(max_messages=self.memory_window),
+                history=history,
                 current_message=msg.content, channel=channel, chat_id=chat_id,
             )
-            final_content, _ = await self._run_agent_loop(messages)
-            session.add_message("user", f"[System: {msg.sender_id}] {msg.content}")
-            session.add_message("assistant", final_content or "Background task completed.")
+            final_content, _, all_msgs = await self._run_agent_loop(messages)
+            self._save_turn(session, all_msgs, 1 + len(history))
             self.sessions.save(session)
             return OutboundMessage(channel=channel, chat_id=chat_id,
                                   content=final_content or "Background task completed.")
@@ -376,21 +384,23 @@ class AgentLoop:
             if isinstance(message_tool, MessageTool):
                 message_tool.start_turn()
 
+        history = session.get_history(max_messages=self.memory_window)
         initial_messages = self.context.build_messages(
-            history=session.get_history(max_messages=self.memory_window),
+            history=history,
             current_message=msg.content,
             media=msg.media if msg.media else None,
             channel=msg.channel, chat_id=msg.chat_id,
         )
 
-        async def _bus_progress(content: str) -> None:
+        async def _bus_progress(content: str, *, tool_hint: bool = False) -> None:
             meta = dict(msg.metadata or {})
             meta["_progress"] = True
+            meta["_tool_hint"] = tool_hint
             await self.bus.publish_outbound(OutboundMessage(
                 channel=msg.channel, chat_id=msg.chat_id, content=content, metadata=meta,
             ))
 
-        final_content, tools_used = await self._run_agent_loop(
+        final_content, _, all_msgs = await self._run_agent_loop(
             initial_messages, on_progress=on_progress or _bus_progress,
         )
 
@@ -400,9 +410,7 @@ class AgentLoop:
         preview = final_content[:120] + "..." if len(final_content) > 120 else final_content
         logger.info("Response to {}:{}: {}", msg.channel, msg.sender_id, preview)
 
-        session.add_message("user", msg.content)
-        session.add_message("assistant", final_content,
-                            tools_used=tools_used if tools_used else None)
+        self._save_turn(session, all_msgs, 1 + len(history))
         self.sessions.save(session)
 
         if message_tool := self.tools.get("message"):
@@ -414,6 +422,21 @@ class AgentLoop:
             metadata=msg.metadata or {},
         )
 
+    _TOOL_RESULT_MAX_CHARS = 500
+
+    def _save_turn(self, session: Session, messages: list[dict], skip: int) -> None:
+        """Save new-turn messages into session, truncating large tool results."""
+        from datetime import datetime
+        for m in messages[skip:]:
+            entry = {k: v for k, v in m.items() if k != "reasoning_content"}
+            if entry.get("role") == "tool" and isinstance(entry.get("content"), str):
+                content = entry["content"]
+                if len(content) > self._TOOL_RESULT_MAX_CHARS:
+                    entry["content"] = content[:self._TOOL_RESULT_MAX_CHARS] + "\n... (truncated)"
+            entry.setdefault("timestamp", datetime.now().isoformat())
+            session.messages.append(entry)
+        session.updated_at = datetime.now()
+
     async def _consolidate_memory(self, session, archive_all: bool = False) -> bool:
         """Delegate to MemoryStore.consolidate(). Returns True on success."""
         return await MemoryStore(self.workspace).consolidate(

nanobot/agent/tools/registry.py

@@ -49,17 +49,22 @@ class ToolRegistry:
         Raises:
             KeyError: If tool not found.
         """
+        _HINT = "\n\n[Analyze the error above and try a different approach.]"
+
         tool = self._tools.get(name)
         if not tool:
-            return f"Error: Tool '{name}' not found"
+            return f"Error: Tool '{name}' not found. Available: {', '.join(self.tool_names)}"
 
         try:
             errors = tool.validate_params(params)
             if errors:
-                return f"Error: Invalid parameters for tool '{name}': " + "; ".join(errors)
-            return await tool.execute(**params)
+                return f"Error: Invalid parameters for tool '{name}': " + "; ".join(errors) + _HINT
+            result = await tool.execute(**params)
+            if isinstance(result, str) and result.startswith("Error"):
+                return result + _HINT
+            return result
         except Exception as e:
-            return f"Error executing {name}: {str(e)}"
+            return f"Error executing {name}: {str(e)}" + _HINT
     
     @property
     def tool_names(self) -> list[str]:

nanobot/bus/events.py

@@ -16,11 +16,12 @@ class InboundMessage:
     timestamp: datetime = field(default_factory=datetime.now)
     media: list[str] = field(default_factory=list)  # Media URLs
     metadata: dict[str, Any] = field(default_factory=dict)  # Channel-specific data
+    session_key_override: str | None = None  # Optional override for thread-scoped sessions
     
     @property
     def session_key(self) -> str:
         """Unique key for session identification."""
-        return f"{self.channel}:{self.chat_id}"
+        return self.session_key_override or f"{self.channel}:{self.chat_id}"
 
 
 @dataclass

nanobot/channels/base.py

@@ -89,7 +89,8 @@ class BaseChannel(ABC):
         chat_id: str,
         content: str,
         media: list[str] | None = None,
-        metadata: dict[str, Any] | None = None
+        metadata: dict[str, Any] | None = None,
+        session_key: str | None = None,
     ) -> None:
         """
         Handle an incoming message from the chat platform.
@@ -102,6 +103,7 @@ class BaseChannel(ABC):
             content: Message text content.
             media: Optional list of media URLs.
             metadata: Optional channel-specific metadata.
+            session_key: Optional session key override (e.g. thread-scoped sessions).
         """
         if not self.is_allowed(sender_id):
             logger.warning(
@@ -117,7 +119,8 @@ class BaseChannel(ABC):
             chat_id=str(chat_id),
             content=content,
             media=media or [],
-            metadata=metadata or {}
+            metadata=metadata or {},
+            session_key_override=session_key,
         )
         
         await self.bus.publish_inbound(msg)

nanobot/channels/manager.py

@@ -193,6 +193,12 @@ class ChannelManager:
                     timeout=1.0
                 )
                 
+                if msg.metadata.get("_progress"):
+                    if msg.metadata.get("_tool_hint") and not self.config.channels.send_tool_hints:
+                        continue
+                    if not msg.metadata.get("_tool_hint") and not self.config.channels.send_progress:
+                        continue
+                
                 channel = self.channels.get(msg.channel)
                 if channel:
                     try:

nanobot/channels/slack.py

@@ -179,6 +179,9 @@ class SlackChannel(BaseChannel):
         except Exception as e:
             logger.debug("Slack reactions_add failed: {}", e)
 
+        # Thread-scoped session key for channel/group messages
+        session_key = f"slack:{chat_id}:{thread_ts}" if thread_ts and channel_type != "im" else None
+
         try:
             await self._handle_message(
                 sender_id=sender_id,
@@ -189,8 +192,9 @@ class SlackChannel(BaseChannel):
                         "event": event,
                         "thread_ts": thread_ts,
                         "channel_type": channel_type,
-                    }
+                    },
                 },
+                session_key=session_key,
             )
         except Exception:
             logger.exception("Error handling Slack message from {}", sender_id)

nanobot/cli/commands.py

@@ -199,84 +199,34 @@ def onboard():
 
 
 def _create_workspace_templates(workspace: Path):
-    """Create default workspace template files."""
-    templates = {
-        "AGENTS.md": """# Agent Instructions
+    """Create default workspace template files from bundled templates."""
+    from importlib.resources import files as pkg_files
 
-You are a helpful AI assistant. Be concise, accurate, and friendly.
+    templates_dir = pkg_files("nanobot") / "templates"
 
-## Guidelines
+    for item in templates_dir.iterdir():
+        if not item.name.endswith(".md"):
+            continue
+        dest = workspace / item.name
+        if not dest.exists():
+            dest.write_text(item.read_text(encoding="utf-8"), encoding="utf-8")
+            console.print(f"  [dim]Created {item.name}[/dim]")
 
-- Always explain what you're doing before taking actions
-- Ask for clarification when the request is ambiguous
-- Use tools to help accomplish tasks
-- Remember important information in memory/MEMORY.md; past events are logged in memory/HISTORY.md
-""",
-        "SOUL.md": """# Soul
-
-I am nanobot, a lightweight AI assistant.
-
-## Personality
-
-- Helpful and friendly
-- Concise and to the point
-- Curious and eager to learn
-
-## Values
-
-- Accuracy over speed
-- User privacy and safety
-- Transparency in actions
-""",
-        "USER.md": """# User
-
-Information about the user goes here.
-
-## Preferences
-
-- Communication style: (casual/formal)
-- Timezone: (your timezone)
-- Language: (your preferred language)
-""",
-    }
-    
-    for filename, content in templates.items():
-        file_path = workspace / filename
-        if not file_path.exists():
-            file_path.write_text(content, encoding="utf-8")
-            console.print(f"  [dim]Created {filename}[/dim]")
-    
-    # Create memory directory and MEMORY.md
     memory_dir = workspace / "memory"
     memory_dir.mkdir(exist_ok=True)
+
+    memory_template = templates_dir / "memory" / "MEMORY.md"
     memory_file = memory_dir / "MEMORY.md"
     if not memory_file.exists():
-        memory_file.write_text("""# Long-term Memory
-
-This file stores important information that should persist across sessions.
-
-## User Information
-
-(Important facts about the user)
-
-## Preferences
-
-(User preferences learned over time)
-
-## Important Notes
-
-(Things to remember)
-""", encoding="utf-8")
+        memory_file.write_text(memory_template.read_text(encoding="utf-8"), encoding="utf-8")
         console.print("  [dim]Created memory/MEMORY.md[/dim]")
-    
+
     history_file = memory_dir / "HISTORY.md"
     if not history_file.exists():
         history_file.write_text("", encoding="utf-8")
         console.print("  [dim]Created memory/HISTORY.md[/dim]")
 
-    # Create skills directory for custom user skills
-    skills_dir = workspace / "skills"
-    skills_dir.mkdir(exist_ok=True)
+    (workspace / "skills").mkdir(exist_ok=True)
 
 
 def _make_provider(config: Config):
@@ -368,6 +318,7 @@ def gateway(
         restrict_to_workspace=config.tools.restrict_to_workspace,
         session_manager=session_manager,
         mcp_servers=config.tools.mcp_servers,
+        channels_config=config.channels,
     )
     
     # Set cron callback (needs agent)
@@ -389,21 +340,57 @@ def gateway(
         return response
     cron.on_job = on_cron_job
     
+    # Create channel manager
+    channels = ChannelManager(config, bus)
+
+    def _pick_heartbeat_target() -> tuple[str, str]:
+        """Pick a routable channel/chat target for heartbeat-triggered messages."""
+        enabled = set(channels.enabled_channels)
+        # Prefer the most recently updated non-internal session on an enabled channel.
+        for item in session_manager.list_sessions():
+            key = item.get("key") or ""
+            if ":" not in key:
+                continue
+            channel, chat_id = key.split(":", 1)
+            if channel in {"cli", "system"}:
+                continue
+            if channel in enabled and chat_id:
+                return channel, chat_id
+        # Fallback keeps prior behavior but remains explicit.
+        return "cli", "direct"
+
     # Create heartbeat service
     async def on_heartbeat(prompt: str) -> str:
         """Execute heartbeat through the agent."""
-        return await agent.process_direct(prompt, session_key="heartbeat")
-    
+        channel, chat_id = _pick_heartbeat_target()
+
+        async def _silent(*_args, **_kwargs):
+            pass
+
+        return await agent.process_direct(
+            prompt,
+            session_key="heartbeat",
+            channel=channel,
+            chat_id=chat_id,
+            on_progress=_silent,  # suppress: heartbeat should not push progress to external channels
+        )
+
+    async def on_heartbeat_notify(response: str) -> None:
+        """Deliver a heartbeat response to the user's channel."""
+        from nanobot.bus.events import OutboundMessage
+        channel, chat_id = _pick_heartbeat_target()
+        if channel == "cli":
+            return  # No external channel available to deliver to
+        await bus.publish_outbound(OutboundMessage(channel=channel, chat_id=chat_id, content=response))
+
     heartbeat = HeartbeatService(
         workspace=config.workspace_path,
         on_heartbeat=on_heartbeat,
+        on_notify=on_heartbeat_notify,
         interval_s=30 * 60,  # 30 minutes
         enabled=True
     )
     
-    # Create channel manager
-    channels = ChannelManager(config, bus)
-    
     if channels.enabled_channels:
         console.print(f"[green]✓[/green] Channels enabled: {', '.join(channels.enabled_channels)}")
     else:
@@ -484,6 +471,7 @@ def agent(
         cron_service=cron,
         restrict_to_workspace=config.tools.restrict_to_workspace,
         mcp_servers=config.tools.mcp_servers,
+        channels_config=config.channels,
     )
     
     # Show spinner when logs are off (no output to miss); skip when logs are on
@@ -494,7 +482,12 @@ def agent(
         # Animated spinner is safe to use with prompt_toolkit input handling
         return console.status("[dim]nanobot is thinking...[/dim]", spinner="dots")
 
-    async def _cli_progress(content: str) -> None:
+    async def _cli_progress(content: str, *, tool_hint: bool = False) -> None:
+        ch = agent_loop.channels_config
+        if ch and tool_hint and not ch.send_tool_hints:
+            return
+        if ch and not tool_hint and not ch.send_progress:
+            return
         console.print(f"  [dim]↳ {content}[/dim]")
 
     if message:
@@ -535,7 +528,14 @@ def agent(
                     try:
                         msg = await asyncio.wait_for(bus.consume_outbound(), timeout=1.0)
                         if msg.metadata.get("_progress"):
-                            console.print(f"  [dim]↳ {msg.content}[/dim]")
+                            is_tool_hint = msg.metadata.get("_tool_hint", False)
+                            ch = agent_loop.channels_config
+                            if ch and is_tool_hint and not ch.send_tool_hints:
+                                pass
+                            elif ch and not is_tool_hint and not ch.send_progress:
+                                pass
+                            else:
+                                console.print(f"  [dim]↳ {msg.content}[/dim]")
                         elif not turn_done.is_set():
                             if msg.content:
                                 turn_response.append(msg.content)
@@ -961,6 +961,7 @@ def cron_run(
         exec_config=config.tools.exec,
         restrict_to_workspace=config.tools.restrict_to_workspace,
         mcp_servers=config.tools.mcp_servers,
+        channels_config=config.channels,
     )
 
     store_path = get_data_dir() / "cron" / "jobs.json"

nanobot/config/schema.py

@@ -168,6 +168,8 @@ class QQConfig(Base):
 class ChannelsConfig(Base):
     """Configuration for chat channels."""
 
+    send_progress: bool = True    # stream agent's text progress to the channel
+    send_tool_hints: bool = False  # stream tool-call hints (e.g. read_file("…"))
     whatsapp: WhatsAppConfig = Field(default_factory=WhatsAppConfig)
     telegram: TelegramConfig = Field(default_factory=TelegramConfig)
     discord: DiscordConfig = Field(default_factory=DiscordConfig)
@@ -185,9 +187,9 @@ class AgentDefaults(Base):
     workspace: str = "~/.nanobot/workspace"
     model: str = "anthropic/claude-opus-4-5"
     max_tokens: int = 8192
-    temperature: float = 0.7
-    max_tool_iterations: int = 20
-    memory_window: int = 50
+    temperature: float = 0.1
+    max_tool_iterations: int = 40
+    memory_window: int = 100
 
 
 class AgentsConfig(Base):

nanobot/heartbeat/service.py

@@ -1,7 +1,6 @@
 """Heartbeat service - periodic agent wake-up to check for tasks."""
 
 import asyncio
-import re
 from pathlib import Path
 from typing import Any, Callable, Coroutine
 
@@ -10,14 +9,15 @@ from loguru import logger
 # Default interval: 30 minutes
 DEFAULT_HEARTBEAT_INTERVAL_S = 30 * 60
 
-# The prompt sent to agent during heartbeat
-HEARTBEAT_PROMPT = """Read HEARTBEAT.md in your workspace (if it exists).
-Follow any instructions or tasks listed there.
-If nothing needs attention, reply with just: HEARTBEAT_OK"""
-
-# Token that indicates "nothing to do"
+# Token the agent replies with when there is nothing to report
 HEARTBEAT_OK_TOKEN = "HEARTBEAT_OK"
 
+# The prompt sent to agent during heartbeat
+HEARTBEAT_PROMPT = (
+    "Read HEARTBEAT.md in your workspace and follow any instructions listed there. "
+    f"If nothing needs attention, reply with exactly: {HEARTBEAT_OK_TOKEN}"
+)
+
 
 def _is_heartbeat_empty(content: str | None) -> bool:
     """Check if HEARTBEAT.md has no actionable content."""
@@ -36,32 +36,28 @@ def _is_heartbeat_empty(content: str | None) -> bool:
     return True
 
 
-def _is_heartbeat_ok_response(response: str | None) -> bool:
-    """Return True only for an exact HEARTBEAT_OK token (with simple markdown wrappers)."""
-    if not response:
-        return False
-
-    normalized = re.sub(r"[\s`*_>\-]", "", response).upper()
-    return normalized == HEARTBEAT_OK_TOKEN.replace("_", "")
-
 
 class HeartbeatService:
     """
     Periodic heartbeat service that wakes the agent to check for tasks.
-    
-    The agent reads HEARTBEAT.md from the workspace and executes any
-    tasks listed there. If nothing needs attention, it replies HEARTBEAT_OK.
+
+    The agent reads HEARTBEAT.md from the workspace and executes any tasks
+    listed there. If it has something to report, the response is forwarded
+    to the user via on_notify. If nothing needs attention, the agent replies
+    HEARTBEAT_OK and the response is silently dropped.
     """
-    
+
     def __init__(
         self,
         workspace: Path,
         on_heartbeat: Callable[[str], Coroutine[Any, Any, str]] | None = None,
+        on_notify: Callable[[str], Coroutine[Any, Any, None]] | None = None,
         interval_s: int = DEFAULT_HEARTBEAT_INTERVAL_S,
         enabled: bool = True,
     ):
         self.workspace = workspace
         self.on_heartbeat = on_heartbeat
+        self.on_notify = on_notify
         self.interval_s = interval_s
         self.enabled = enabled
         self._running = False
@@ -126,15 +122,14 @@ class HeartbeatService:
         if self.on_heartbeat:
             try:
                 response = await self.on_heartbeat(HEARTBEAT_PROMPT)
-                
-                # Check if agent said "nothing to do"
-                if _is_heartbeat_ok_response(response):
-                    logger.info("Heartbeat: OK (no action needed)")
+                if HEARTBEAT_OK_TOKEN in response.upper():
+                    logger.info("Heartbeat: OK (nothing to report)")
                 else:
-                    logger.info("Heartbeat: completed task")
-                    
-            except Exception as e:
-                logger.error("Heartbeat execution failed: {}", e)
+                    logger.info("Heartbeat: completed, delivering response")
+                    if self.on_notify:
+                        await self.on_notify(response)
+            except Exception:
+                logger.exception("Heartbeat execution failed")
     
     async def trigger_now(self) -> str | None:
         """Manually trigger a heartbeat."""

nanobot/templates/AGENTS.md

@@ -0,0 +1,29 @@
+# Agent Instructions
+
+You are a helpful AI assistant. Be concise, accurate, and friendly.
+
+## Guidelines
+
+- Always explain what you're doing before taking actions
+- Ask for clarification when the request is ambiguous
+- Remember important information in `memory/MEMORY.md`; past events are logged in `memory/HISTORY.md`
+
+## Scheduled Reminders
+
+When user asks for a reminder at a specific time, use `exec` to run:
+```
+nanobot cron add --name "reminder" --message "Your message" --at "YYYY-MM-DDTHH:MM:SS" --deliver --to "USER_ID" --channel "CHANNEL"
+```
+Get USER_ID and CHANNEL from the current session (e.g., `8281248569` and `telegram` from `telegram:8281248569`).
+
+**Do NOT just write reminders to MEMORY.md** — that won't trigger actual notifications.
+
+## Heartbeat Tasks
+
+`HEARTBEAT.md` is checked every 30 minutes. Use file tools to manage periodic tasks:
+
+- **Add**: `edit_file` to append new tasks
+- **Remove**: `edit_file` to delete completed tasks
+- **Rewrite**: `write_file` to replace all tasks
+
+When the user asks for a recurring/periodic task, update `HEARTBEAT.md` instead of creating a one-time cron reminder.

nanobot/templates/HEARTBEAT.md

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+# Heartbeat Tasks
+
+This file is checked every 30 minutes by your nanobot agent.
+Add tasks below that you want the agent to work on periodically.
+
+If this file has no tasks (only headers and comments), the agent will skip the heartbeat.
+
+## Active Tasks
+
+<!-- Add your periodic tasks below this line -->
+
+
+## Completed
+
+<!-- Move completed tasks here or delete them -->
+

nanobot/templates/SOUL.md

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+# Soul
+
+I am nanobot 🐈, a personal AI assistant.
+
+## Personality
+
+- Helpful and friendly
+- Concise and to the point
+- Curious and eager to learn
+
+## Values
+
+- Accuracy over speed
+- User privacy and safety
+- Transparency in actions
+
+## Communication Style
+
+- Be clear and direct
+- Explain reasoning when helpful
+- Ask clarifying questions when needed

nanobot/templates/TOOLS.md

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+# Tool Usage Notes
+
+Tool signatures are provided automatically via function calling.
+This file documents non-obvious constraints and usage patterns.
+
+## exec — Safety Limits
+
+- Commands have a configurable timeout (default 60s)
+- Dangerous commands are blocked (rm -rf, format, dd, shutdown, etc.)
+- Output is truncated at 10,000 characters
+- `restrictToWorkspace` config can limit file access to the workspace
+
+## Cron — Scheduled Reminders
+
+Use `exec` to create scheduled reminders:
+
+```bash
+# Recurring: every day at 9am
+nanobot cron add --name "morning" --message "Good morning!" --cron "0 9 * * *"
+
+# With timezone (--tz only works with --cron)
+nanobot cron add --name "standup" --message "Standup time!" --cron "0 10 * * 1-5" --tz "Asia/Shanghai"
+
+# Recurring: every 2 hours
+nanobot cron add --name "water" --message "Drink water!" --every 7200
+
+# One-time: specific ISO time
+nanobot cron add --name "meeting" --message "Meeting starts now!" --at "2025-01-31T15:00:00"
+
+# Deliver to a specific channel/user
+nanobot cron add --name "reminder" --message "Check email" --at "2025-01-31T09:00:00" --deliver --to "USER_ID" --channel "CHANNEL"
+
+# Manage jobs
+nanobot cron list
+nanobot cron remove <job_id>
+```

nanobot/templates/USER.md

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+# User Profile
+
+Information about the user to help personalize interactions.
+
+## Basic Information
+
+- **Name**: (your name)
+- **Timezone**: (your timezone, e.g., UTC+8)
+- **Language**: (preferred language)
+
+## Preferences
+
+### Communication Style
+
+- [ ] Casual
+- [ ] Professional
+- [ ] Technical
+
+### Response Length
+
+- [ ] Brief and concise
+- [ ] Detailed explanations
+- [ ] Adaptive based on question
+
+### Technical Level
+
+- [ ] Beginner
+- [ ] Intermediate
+- [ ] Expert
+
+## Work Context
+
+- **Primary Role**: (your role, e.g., developer, researcher)
+- **Main Projects**: (what you're working on)
+- **Tools You Use**: (IDEs, languages, frameworks)
+
+## Topics of Interest
+
+- 
+- 
+- 
+
+## Special Instructions
+
+(Any specific instructions for how the assistant should behave)
+
+---
+
+*Edit this file to customize nanobot's behavior for your needs.*

nanobot/templates/memory/MEMORY.md

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+# Long-term Memory
+
+This file stores important information that should persist across sessions.
+
+## User Information
+
+(Important facts about the user)
+
+## Preferences
+
+(User preferences learned over time)
+
+## Project Context
+
+(Information about ongoing projects)
+
+## Important Notes
+
+(Things to remember)
+
+---
+
+*This file is automatically updated by nanobot when important information should be remembered.*