feat: 实现多语言文档架构

- 创建 docs/zh/ 和 docs/en/ 目录结构
- 迁移文档至多语言目录，添加中英文切换链接
- 创建 README_EN.md 英文版本
- 更新 README.md 添加语言切换链接
- 删除旧文档和临时文件

docs/en/OVERVIEW.md

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+**中文** | [English](../zh/OVERVIEW.md)
+
+# HomeAgent — Project Overview
+
+## What Is This
+
+HomeAgent is a continuously-running personal intelligent Agent framework.
+
+Core architecture: a long-running kernel process (`homed`) that connects to various IO channels (QQ, Web, CLI, etc.) through a plugin system. The kernel handles LLM orchestration, memory management, and knowledge retrieval; plugins handle all external IO — sending/receiving messages, file operations, web search, etc.
+
+### Key Innovations
+
+**Separation of Core Domain and Application Domain** — This is the first Agent framework to explicitly make this distinction. The kernel (core domain) performs zero IO; all IO capabilities belong to plugins (application domain). The boundary is clearly defined through PluginSDK:
+- Plugins register tools (Tool) with the kernel for LLM invocation
+- Plugins hook into the processing pipeline (Stage) to intercept/rewrite message flow at various phases
+- Plugins subscribe/publish events (Event) for loosely-coupled communication
+- Plugins queue or interrupt input delivery through IO API
+
+The significance: the kernel stays pure (zero IO, only orchestration and memory), plugins stay flexible (each does its job, hot-loadable), with no cross-contamination.
+
+**Three-Layer Memory Architecture** — Solves the memory decay problem for long-running agents:
+- **Context Layer**: In-memory TF-IDF scored event window, maintains recent context in real-time, low-relevance events automatically sink to the next layer
+- **Document Layer**: JSON files + TF-IDF vector-indexed temporary memory, supports explicit submission and implicit archival, cold data distills to Graph
+- **Graph Layer**: SQLite graph database, persists entities and relations, BFS traversal recall, distillation pipeline extracts triples from conversations
+
+Three progressive layers: context → cold archive → long-term graph memory, ensuring the agent doesn't degrade over time.
+
+## What It Actually Does
+
+Code is in the project root, implemented in Go.
+
+**Kernel** (`internal/agent/core/agent.go`):
+- Maintains a message loop (`eventLoop`), queuing input from the IO layer
+- Each input goes through the full processing pipeline: memory recall → persona injection → LLM call → tool execution → output delivery
+- LLM calls abstracted through Provider interface, supports 8 LLM sources with automatic fallback
+- Context management (`context.go`) based on TF-IDF scoring, automatic pruning of low-relevance events
+
+**Memory System** (`internal/memory/`):
+- **GraphDB** (`graph.go`) — SQLite, entities + relations tables, BFS traversal
+- **Document Store** (`document/doc.go`) — Temporary memory, JSON files + TF-IDF vector index, consume-on-read
+- **Text Memory** (`text/text.go`) — Raw conversation logs, JSONL file rotation
+- **Social Store** (`social/social.go`) — Persona traits + relationship network, wraps GraphDB
+- **Memory Indexer** (`indexer.go`) — Auto-vectorizes GraphDB entities, recalls and injects into system prompt on user input
+
+**Knowledge Base** (`internal/knowledge/knowledge.go`):
+- File system directory `knowledge/<name>/content.md`
+- TF-IDF vector search, independent index instance from the memory system
+- LLM operates via three tools: `knowledge_search` / `knowledge_create` / `knowledge_list`
+
+**Plugin System** (`internal/plugin/`):
+- Built-in plugins: Go `init()` self-registration, compiled into kernel
+- External plugins: Go `-buildmode=plugin` compiled to `.so`/`.dll`, dynamically loaded via `plugin.Open`; also supports Lua script plugins
+- PluginSDK (`internal/sdk/`) defines three channels: RegisterTool / RegisterStage / Subscribe
+- 7 stage hooks: on_input → pre_action → post_action → before_toolcall → after_toolcall → before_output → after_output
+
+**LLM Provider** (`internal/agent/api/provider.go`):
+- Provider interface: Name / Chat / ChatStream
+- Three implementations: OpenAIProvider (standard OpenAI API), OllamaProvider (local), LuaAdaptedProvider (Lua adapter)
+- LuaAdapter located at `internal/lua/adapters/`, each LLM source has a corresponding `.lua` script
+- 8 built-in adapters: deepseek / openai / anthropic / gemini / mistral / groq / github / ollama
+
+**WebUI** (`internal/plugins/webui/`):
+- Embedded SPA dashboard (`dashboard.html` packaged via `//go:embed`)
+- REST API: status query, configuration management, memory operations, knowledge management, plugin management
+- OpenAI API-compatible `/v1/chat/completions` endpoint
+- SSE event stream `/api/v1/chat/events`
+
+## Project Status
+
+Core functionality is operational. Plugin system and SDK are ready for independent external plugin development.
+
+- Built-in plugins: webui / cli / timer / cmd / mcp / agentcli / healthcheck / pluginmgr / openclaw / files
+- External plugin examples ([homeagent-sdk](https://gitcode.com/JianFeeeee/homeagent-sdk) repo `example/`, both Go and Lua types): qq / files / web / memo / bili / editdoc / a2a / ocr / sanitizer / luaplugintest / testlua
+- Distribution: `.hmap` plugin package format, installable via WebUI