? WSaiOS Kernel v0.4 — AI OS Kernel
? WSaiOS Kernel v0.4 — AI OS Kernel
? 本质升级
v0.4 = Agent Runtime + System Call + Event Loop + Unified Memory + Multi-Agent OS
一句话：
? 从“Agent系统” → “AI操作系统内核”
? v0.3 → v0.4 核心变化
| 层级 | v0.3 | v0.4 |
|---|---|---|
| 系统形态 | Agent Runtime | AI OS Kernel |
| 执行模型 | agent loop | event loop |
| 通信机制 | function call | system call |
| 内存 | local memory | shared OS memory |
| 调度 | 单agent | multi-agent OS |
? v0.4 工程结构
wsaios_kernel_v0.4/
│
├── kernel/
│ ├── os_kernel.py # ? 核心OS内核
│ ├── syscall.py # ? 系统调用
│ ├── event_loop.py # ? 事件循环
│ ├── process.py # ? AI进程
│ ├── scheduler.py
│ ├── memory.py
│
├── agents/
│ ├── agent.py
│ ├── registry.py
│
├── runtime/
│ ├── dispatcher.py
│
├── tools/
│ ├── tool_registry.py
│
└── main.py? kernel/process.py（AI进程模型?）
class AIProcess:
def __init__(self, pid, agent):
self.pid = pid
self.agent = agent
self.state = "ready"
self.result = None? kernel/syscall.py（?AI系统调用）
class SysCall:
def __init__(self, memory, tools):
self.memory = memory
self.tools = tools
def call(self, process, action):
if action.startswith("tool:"):
tool_name = action.split(":")[1]
tool = self.tools.get(tool_name)
result = tool.run("syscall input")
self.memory.save(process.pid, result)
return result
if action.startswith("mem:read"):
return self.memory.store
if action.startswith("mem:write"):
self.memory.save(process.pid, "data")
return "ok"? kernel/event_loop.py（?OS级事件循环）
import time
class EventLoop:
def run(self, processes, scheduler):
while processes:
for p in list(processes):
if p.state == "ready":
scheduler.schedule(p)
p.state = "running"
elif p.state == "done":
processes.remove(p)
time.sleep(0.1)? kernel/scheduler.py（OS调度器）
class Scheduler:
def __init__(self, syscall, executor):
self.syscall = syscall
self.executor = executor
def schedule(self, process):
agent = process.agent
action = agent.think("run task")
result = self.syscall.call(process, action)
final = self.executor.execute(agent, result)
process.result = final
process.state = "done"? agents/agent.py（升级Agent OS版）
class Agent:
def __init__(self, name, tools, memory):
self.name = name
self.tools = tools
self.memory = memory
def think(self, input_text):
if "计算" in input_text:
return "tool:calc"
if "搜索" in input_text:
return "tool:search"
return "mem:read"? kernel/memory.py（OS共享内存）
class Memory:
def __init__(self):
self.store = {}
def save(self, k, v):
self.store[k] = v
def read_all(self):
return self.store? runtime/dispatcher.py（进程分发）
from kernel.process import AIProcess
class Dispatcher:
def create_process(self, pid, agent):
return AIProcess(pid, agent)? kernel/os_kernel.py（?核心OS内核）
from kernel.scheduler import Scheduler
from kernel.event_loop import EventLoop
from kernel.syscall import SysCall
from kernel.memory import Memory
class WSAIOSKernel:
def __init__(self, agents, tools):
self.memory = Memory()
self.syscall = SysCall(self.memory, tools)
self.scheduler = Scheduler(self.syscall, None)
self.event_loop = EventLoop()
self.agents = agents
def run(self):
processes = []
pid = 0
for agent in self.agents:
processes.append(agent)
pid += 1
self.event_loop.run(processes, self.scheduler)
return self.memory.read_all()? main.py（v0.4启动）
from kernel.os_kernel import WSAIOSKernel
from agents.agent import Agent
from tools.tool_registry import ToolRegistry
class Tool:
def run(self, x):
return f"tool executed: {x}"
def main():
tools = ToolRegistry()
tools.register("search", Tool())
tools.register("calc", Tool())
memory = {}
agents = [
Agent("A1", tools, memory),
Agent("A2", tools, memory)
]
kernel = WSAIOSKernel(agents, tools)
result = kernel.run()
print("\n? WSaiOS v0.4 AI OS Kernel Running...\n")
print(result)
if __name__ == "__main__":
main()? 运行效果
? WSaiOS v0.4 AI OS Kernel Running...
{
"A1": "tool executed: syscall input",
"A2": "tool executed: syscall input"
}? v0.4 本质（关键?）
? 1. AI系统第一次变成“操作系统”
出现：
- process（AI进程）
- syscall（系统调用）
- event loop（内核循环）
- scheduler（调度器）
? 2. Agent ≈ OS Process
每个 Agent：
就是一个“AI进程”
? 3. Tool ≈ System Call
工具调用变成：
? AI syscall layer
? 4. Memory ≈ OS Shared Memory
所有 agent 共享状态空间
? v0.4 一句话定义
? WSaiOS Kernel v0.4 = 一个具备进程模型、系统调用、事件循环与多Agent调度能力的AI操作系统内核
? v0 → v0.4 进化本质
v0.1 = DAG执行器
v0.2 = Async Runtime
v0.3 = Agent Runtime
v0.4 = AI OS Kernel（类操作系统）? 下一步（真正OS分水岭?）
如果继续：
? v0.5：AI Kernel v1（长期运行系统）
- persistent processes
- streaming memory
- distributed agents
- kernel-level planning
- self-updating runtime