docs: clarify deployment sizing guidance (#1963)

CONTRIBUTING.md

@@ -77,6 +77,18 @@ export UV_INDEX_URL=https://pypi.org/simple
 export NPM_REGISTRY=https://registry.npmjs.org
 ```
 
+#### Recommended host resources
+
+Use these as practical starting points for development and review environments:
+
+| Scenario | Starting point | Recommended | Notes |
+|---------|-----------|------------|-------|
+| `make dev` on one machine | 4 vCPU, 8 GB RAM | 8 vCPU, 16 GB RAM | Best when DeerFlow uses hosted model APIs. |
+| `make docker-start` review environment | 4 vCPU, 8 GB RAM | 8 vCPU, 16 GB RAM | Docker image builds and sandbox containers need extra headroom. |
+| Shared Linux test server | 8 vCPU, 16 GB RAM | 16 vCPU, 32 GB RAM | Prefer this for heavier multi-agent runs or multiple reviewers. |
+
+`2 vCPU / 4 GB` environments often fail to start reliably or become unresponsive under normal DeerFlow workloads.
+
 #### Linux: Docker daemon permission denied
 
 If `make docker-init`, `make docker-start`, or `make docker-stop` fails on Linux with an error like below, your current user likely does not have permission to access the Docker daemon socket:

README.md

@@ -53,6 +53,7 @@ DeerFlow has newly integrated the intelligent search and crawling toolset indepe
   - [Quick Start](#quick-start)
     - [Configuration](#configuration)
     - [Running the Application](#running-the-application)
+      - [Deployment Sizing](#deployment-sizing)
       - [Option 1: Docker (Recommended)](#option-1-docker-recommended)
       - [Option 2: Local Development](#option-2-local-development)
     - [Advanced](#advanced)
@@ -225,6 +226,20 @@ That prompt is intended for coding agents. It tells the agent to clone the repo
 
 ### Running the Application
 
+#### Deployment Sizing
+
+Use the table below as a practical starting point when choosing how to run DeerFlow:
+
+| Deployment target | Starting point | Recommended | Notes |
+|---------|-----------|------------|-------|
+| Local evaluation / `make dev` | 4 vCPU, 8 GB RAM, 20 GB free SSD | 8 vCPU, 16 GB RAM | Good for one developer or one light session with hosted model APIs. `2 vCPU / 4 GB` is usually not enough. |
+| Docker development / `make docker-start` | 4 vCPU, 8 GB RAM, 25 GB free SSD | 8 vCPU, 16 GB RAM | Image builds, bind mounts, and sandbox containers need more headroom than pure local dev. |
+| Long-running server / `make up` | 8 vCPU, 16 GB RAM, 40 GB free SSD | 16 vCPU, 32 GB RAM | Preferred for shared use, multi-agent runs, report generation, or heavier sandbox workloads. |
+
+- These numbers cover DeerFlow itself. If you also host a local LLM, size that service separately.
+- Linux plus Docker is the recommended deployment target for a persistent server. macOS and Windows are best treated as development or evaluation environments.
+- If CPU or memory usage stays pinned, reduce concurrent runs first, then move to the next sizing tier.
+
 #### Option 1: Docker (Recommended)
 
 **Development** (hot-reload, source mounts):

README_zh.md

@@ -40,6 +40,7 @@ https://github.com/user-attachments/assets/a8bcadc4-e040-4cf2-8fda-dd768b999c18
   - [快速开始](#快速开始)
     - [配置](#配置)
     - [运行应用](#运行应用)
+      - [部署建议与资源规划](#部署建议与资源规划)
       - [方式一：Docker（推荐）](#方式一docker推荐)
       - [方式二：本地开发](#方式二本地开发)
     - [进阶配置](#进阶配置)
@@ -150,6 +151,20 @@ https://github.com/user-attachments/assets/a8bcadc4-e040-4cf2-8fda-dd768b999c18
 
 ### 运行应用
 
+#### 部署建议与资源规划
+
+可以先按下面的资源档位来选择 DeerFlow 的运行方式：
+
+| 部署场景 | 起步配置 | 推荐配置 | 说明 |
+|---------|-----------|------------|-------|
+| 本地体验 / `make dev` | 4 vCPU、8 GB 内存、20 GB SSD 可用空间 | 8 vCPU、16 GB 内存 | 适合单个开发者或单个轻量会话，且模型走外部 API。`2 核 / 4 GB` 通常跑不稳。 |
+| Docker 开发 / `make docker-start` | 4 vCPU、8 GB 内存、25 GB SSD 可用空间 | 8 vCPU、16 GB 内存 | 镜像构建、源码挂载和 sandbox 容器都会比纯本地模式更吃资源。 |
+| 长期运行服务 / `make up` | 8 vCPU、16 GB 内存、40 GB SSD 可用空间 | 16 vCPU、32 GB 内存 | 更适合共享环境、多 agent 任务、报告生成或更重的 sandbox 负载。 |
+
+- 上面的配置只覆盖 DeerFlow 本身；如果你还要本机部署本地大模型，请单独为模型服务预留资源。
+- 持续运行的服务更推荐使用 Linux + Docker。macOS 和 Windows 更适合作为开发机或体验环境。
+- 如果 CPU 或内存长期打满，先降低并发会话或重任务数量，再考虑升级到更高一档配置。
+
 #### 方式一：Docker（推荐）
 
 **开发模式**（支持热更新，挂载源码）：