Windows 11 without docker -Error adding to memory: Request timed out.

[tqangxl]

🐛 Describe the bug

OS: Windows 11 without docker or wsl or hyper-v use uv to deployed MCP\mem0> git status -s M openmemory/api/app/config.py M openmemory/api/app/utils/memory.py M openmemory/ui/next.config.dev.mjs ?? start_openmemory.bat

config.py: import os

USER_ID = os.getenv("USER_ID", os.getenv("USER", "default_user")) DEFAULT_APP_ID = os.getenv("APP_ID", "openmemory")

memory.py： import os

from mem0 import Memory

memory_client = None

def get_memory_client(custom_instructions: str = None): """ Get or initialize the Mem0 client.

Args:
    custom_instructions: Optional instructions for the memory project.

Returns:
    Initialized Mem0 client instance.

Raises:
    Exception: If required API keys are not set.
"""
global memory_client

if memory_client is not None:
    return memory_client

try:
    config = {
        "vector_store": {
            "provider": "qdrant",
            "config": {
                #"collection_name": "openmemory",
                #"host": "mem0_store",
                #"port": 6333,
                "collection_name": os.getenv("QDRANT_COLLECTION", "openmemory"),
                "host": os.getenv("QDRANT_HOST", "localhost"),
                "port": int(os.getenv("QDRANT_PORT", 6333)),
            }
        },
        "embeddings": {
            "provider": "ollama",
            "config": {
                "model": os.getenv("OLLAMA_MODEL", "nomic-embed-text:latest"),
                "ollama_base_url": os.getenv("OLLAMA_BASE_URL", "http://localhost:11434"),
            }
        }
    }

next.config.dev.mjs： /** @type {import('next').NextConfig} */ const nextConfig = { output: "standalone", eslint: { ignoreDuringBuilds: true, }, typescript: { ignoreBuildErrors: true, }, images: { unoptimized: true, }, allowedDevOrigins: ["127.0.0.1", "localhost"],

}

export default nextConfig

start_openmemory.bat：

@echo off chcp 65001 setlocal enabledelayedexpansion

REM 设置服务路径 set QDRANT_PATH=D:\Lib\Dev\AI\MCP\qdrant set API_PATH=D:\Lib\Dev\AI\MCP\mem0\openmemory\api set UI_PATH=D:\Lib\Dev\AI\MCP\mem0\openmemory\ui

REM 1. 启动Qdrant向量数据库服务 echo [1/3] 启动Qdrant向量数据库... start "Qdrant服务" /D "%QDRANT_PATH%" qdrant.exe

REM 2. 启动FastAPI后端服务 echo [2/3] 准备API服务环境... if exist "%API_PATH%.venv" ( start "API服务" /D "%API_PATH%" cmd /k "call .venv\Scripts\activate.bat && uv pip install -r requirements.txt && uvicorn main:app --host 0.0.0.0 --workers 4 --port 8765 --reload " ) else ( echo [警告] 未找到API虚拟环境，请先创建.venv )

REM 3. 构建前端项目 echo [3/3] 构建前端项目... if exist "%UI_PATH%\package.json" ( start "UI构建" /D "%UI_PATH%" cmd /k "pnpm install && pnpm dev -p 3002 " ) else ( echo [错误] 未找到UI项目package.json )

[heng-ah]

can u confirm the setup is correct ? it is most likely the api key wasn't provided may refer to setup https://github.com/mem0ai/mem0/tree/main/openmemory

[tqangxl]

@heng-ah can u confirm the setup is correct ? it is most likely the api key wasn't provided may refer to setup https://github.com/mem0ai/mem0/tree/main/openmemory

use ollama and qwen3:8b or qwen2.5vl:7b or phi4-mini-reasoning:latest ，api key saved in .env