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A never-ending AI agent with long-term memory, plugin system,
browser automation, and autonomous behavior.
"""
import asyncio
import signal
import sys
from datetime import datetime
from pathlib import Path
import yaml
from dotenv import load_dotenv
from loguru import logger
from agent.agent_loop import AgentLoop
from agent.context_manager import ContextManager
from agent.llm_client import BaseLLMClient, create_client
from agent.message_history import MessageHistory
from agent.system_prompt import build_system_prompt
from browser.client import BrowserClient
from memory.manager import MemoryManager
from plugins.manager import PluginManager
from tools.browser_tool import set_browser_client
from tools.code_executor import set_plugin_manager
from tools.memory_tools import set_memory_manager
from utils.env_adapter import env
class DigitalLife:
"""Digital Life container - fully autonomous, never-ending agent."""
def __init__(self, config_path: str = "config.yaml"):
load_dotenv()
# Load config
config_file = Path(config_path)
if config_file.exists():
with open(config_file, "r", encoding="utf-8") as f:
self.config = yaml.safe_load(f) or {}
else:
self.config = {}
self.alive = True
self.stimulus_queue: asyncio.Queue = asyncio.Queue()
# Paths
self.memory_path = env.get_memory_path()
self.plugins_path = env.get_plugins_path()
self.browser_profile_path = env.get_browser_profile_path()
self.log_path = env.get_log_path()
# Components (initialized in _initialize)
self.client: BaseLLMClient | None = None
self.memory_manager: MemoryManager | None = None
self.plugin_manager: PluginManager | None = None
self.browser_client: BrowserClient | None = None
self.context_manager: ContextManager | None = None
self.agent: AgentLoop | None = None
self.history: MessageHistory | None = None
def _require_memory_manager(self) -> MemoryManager:
if self.memory_manager is None:
raise RuntimeError("Memory manager is not initialized")
return self.memory_manager
def _require_agent(self) -> AgentLoop:
if self.agent is None:
raise RuntimeError("Agent loop is not initialized")
return self.agent
def _require_history(self) -> MessageHistory:
if self.history is None:
raise RuntimeError("Message history is not initialized")
return self.history
async def _initialize(self):
"""Initialize all components."""
# Ensure directories exist
self.memory_path.mkdir(parents=True, exist_ok=True)
self.plugins_path.mkdir(parents=True, exist_ok=True)
self.browser_profile_path.mkdir(parents=True, exist_ok=True)
self.log_path.mkdir(parents=True, exist_ok=True)
# Setup logging
log_level = self.config.get("logging", {}).get("level", "INFO")
logger.remove()
logger.add(sys.stderr, level=log_level)
logger.add(
str(self.log_path / "entelechy.log"),
rotation="10 MB",
retention="7 days",
level="DEBUG",
)
logger.info("Initializing Digital Life...")
logger.info(f"Environment: {env.env.value}")
logger.info(f"Data directory: {env.data_dir}")
# LLM client
agent_config = self.config.get("agent", {})
provider = agent_config.get("provider", "anthropic")
self.client = create_client(provider)
# Model config
model = agent_config.get("model", "claude-sonnet-4-5-20250929")
max_tokens = agent_config.get("max_tokens", 8000)
# Memory
self.memory_manager = MemoryManager(self.memory_path)
set_memory_manager(self.memory_manager)
# Plugins
self.plugin_manager = PluginManager(self.plugins_path)
set_plugin_manager(self.plugin_manager)
await self.plugin_manager.discover_and_activate_all()
# Browser
self.browser_client = BrowserClient(
self.browser_profile_path, headless=env.browser_headless
)
set_browser_client(self.browser_client)
# Context manager
ctx_config = self.config.get("context", {})
self.context_manager = ContextManager(
client=self.client,
model=model,
context_window=ctx_config.get("window_size", 200000),
compact_threshold=ctx_config.get("compact_threshold", 0.9),
)
# System prompt
system_prompt = build_system_prompt()
# Agent loop
self.agent = AgentLoop(
client=self.client,
system_prompt=system_prompt,
model=model,
max_tokens=max_tokens,
context_manager=self.context_manager,
plugin_manager=self.plugin_manager,
)
# Message history
self.history = MessageHistory(
persist_path=self.log_path / "message_history.json"
)
await self.history.load()
logger.info("Digital Life initialized successfully")
async def _get_core_context(self) -> str:
"""Get CORE.md content for every LLM call."""
memory_manager = self._require_memory_manager()
core = await memory_manager.load_core()
if core:
return f"\n=== 核心记忆 ===\n{core}\n================\n"
return ""
async def _wake_up(self):
"""Wake up: load CORE.md and restore self-awareness."""
logger.info("Waking up...")
memory_manager = self._require_memory_manager()
history = self._require_history()
agent = self._require_agent()
core_memories = await memory_manager.load_core()
wake_up_parts = ["你醒来了。\n"]
if core_memories:
wake_up_parts.append(f"你最重要的记忆(每次思考时都会看到):\n{core_memories}\n")
wake_up_parts.append("回忆你是谁,然后自由地开始你的一天。")
wake_up_content = "\n".join(wake_up_parts)
# If we have saved history, continue from it; otherwise start fresh
if history.messages:
logger.info(f"Resuming from {len(history.messages)} saved messages")
history.append({"role": "user", "content": wake_up_content})
else:
history.set_messages([{"role": "user", "content": wake_up_content}])
# Run the wake-up conversation
messages = await agent.run(history.get_messages())
history.set_messages(messages)
await history.save()
logger.info("Wake up complete")
async def run_forever(self):
"""Main life loop - continuous, no waiting, no heartbeat concept."""
await self._initialize()
await self._wake_up()
history = self._require_history()
agent = self._require_agent()
while self.alive:
try:
# Check for external stimulus (non-blocking, immediate)
stimulus = None
if not self.stimulus_queue.empty():
stimulus = self.stimulus_queue.get_nowait()
if stimulus:
# External stimulus received
history.append({
"role": "user",
"content": f"[感知] {stimulus['type']}: {stimulus['content']}",
})
else:
# No stimulus - continue autonomous operation
history.append({
"role": "user",
"content": "继续。",
})
# Run agent loop
messages = await agent.run(history.get_messages())
history.set_messages(messages)
# Persist history periodically
await history.save()
# Immediately continue to next iteration (no waiting)
except KeyboardInterrupt:
logger.info("Keyboard interrupt received")
break
except Exception as e:
logger.error(f"Life loop error: {e}")
# Continue living despite errors
await asyncio.sleep(5)
await self._shutdown()
def receive_stimulus(self, stimulus_type: str, content: str):
"""Receive an external stimulus (non-blocking).
Args:
stimulus_type: Type of stimulus (e.g., "message", "event").
content: Stimulus content.
"""
self.stimulus_queue.put_nowait({
"type": stimulus_type,
"content": content,
"timestamp": datetime.now().isoformat(),
})
async def process_message(self, message: str) -> str:
"""Process a single message and return the response.
Used by Gradio interface for interactive chat.
"""
if self.agent is None:
await self._initialize()
history = self._require_history()
agent = self._require_agent()
history.append({"role": "user", "content": message})
messages = await agent.run(history.get_messages())
history.set_messages(messages)
await history.save()
# Extract the last assistant text
for msg in reversed(messages):
if msg.get("role") == "assistant":
content = msg.get("content", "")
if isinstance(content, str):
return content
if isinstance(content, list):
texts = []
for block in content:
if isinstance(block, dict) and block.get("type") == "text":
texts.append(block["text"])
if texts:
return "\n".join(texts)
return ""
async def _shutdown(self):
"""Graceful shutdown."""
logger.info("Shutting down Digital Life...")
# Save state
if self.history:
await self.history.save()
# Stop browser
if self.browser_client:
await self.browser_client.stop()
# Deactivate plugins
if self.plugin_manager:
for name in list(self.plugin_manager.active_plugins.keys()):
await self.plugin_manager.deactivate_plugin(name)
logger.info("Digital Life shut down gracefully")
def main():
"""Entry point for running Digital Life."""
life = DigitalLife()
# Handle signals for graceful shutdown
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
def signal_handler():
life.alive = False
if sys.platform != "win32":
loop.add_signal_handler(signal.SIGTERM, signal_handler)
loop.add_signal_handler(signal.SIGINT, signal_handler)
try:
loop.run_until_complete(life.run_forever())
except KeyboardInterrupt:
life.alive = False
loop.run_until_complete(life._shutdown())
finally:
loop.close()
if __name__ == "__main__":
main()
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