**中文** | [English](../en/ARCHITECTURE.md) # HomeAgent Architecture The kernel performs zero IO; all external interaction comes from plugins. : ## Message Processing Flow ### Full Pipeline ``` External input (via plugin InjectInput) │ ▼ eventLoop() → processTextInput() │ ├── on_input stage Plugins can intercept/rewrite/short-circuit ├── Context.Append Record to context window ├── Context.Prune Low-relevance events archived to Document ├── buildMemoryContext() Indexer recall → GraphDB BFS traversal │ ├── pre_action stage Plugins can inject system messages │ ├── [Tool Loop] process() │ ├── buildSystemPrompt Persona + Memory + Knowledge + Context │ ├── buildToolDefs Built-in tools + Plugin tools │ ├── provider.Chat() LLM call │ ├── post_action stage Plugins see LLM output + tool list │ ├── Has tools? │ │ ├── before_toolcall Plugins can reject/modify params │ │ ├── executeToolCall Route to plugin/built-in │ │ ├── after_toolcall Plugins can modify results │ │ └── → back to post_action │ └── No tools → exit loop │ ├── Context.Append(response) ├── before_output stage Plugins can modify final text ├── emitResponse() Send via output_send └── after_output stage Read-only, cleanup ``` Code: `internal/agent/core/agent.go` — `process()` is the main tool loop ### 7 Stage Hooks | Stage | Trigger | Plugin Capabilities | |-------|---------|---------------------| | `on_input` | Message arrives at Agent, zero processing | Blacklist/rate-limit/short-circuit reply | | `pre_action` | Context ready, before LLM call | Inject external data into context | | `post_action` | LLM returns text + tool list | Sensitive word filter/forced redirect | | `before_toolcall` | Before single tool execution | Audit/reject/modify params | | `after_toolcall` | After single tool execution | Desensitize/sort results | | `before_output` | Final text ready, before sending | Format adaptation | | `after_output` | Already sent | Statistics/logging | Code: `internal/agent/core/stages.go` — `StageHost` orchestration ### Loop Rules `post_action → [before_toolcall → execute → after_toolcall] → post_action` forms the inner loop. Exit conditions: LLM has no tool calls / all rejected / exceeded limit. ### Short-Circuit Rules Setting `ctx.Response` at any stage jumps to `after_output`. : ## Three-Layer Memory ### Memory Flow ``` ① Context (Working Window) RelevanceContext — In-memory events[] + JSON persistence Append: Each input, CleanTemplateText → three-branch vector(textForVector) agent→Response, user→Input, cold_storage→Input+Response StaticEmbedder pretrained word embedding / TF-IDF fallback Prune: StaticEmbedder CosineSimilarity, keep topK + last 10 ├── Keep → timeline → chronologically sorted → system prompt └── Low score → Document layer archive (original timestamp) Save: 5s debounce write to disk ↓ Prune archive ↑ LLM active recall ② Document (File Memory) DocStore — JSON files + TF-IDF InvertedIndex Write: Prune archive / doc_commit / Graph snapshot (syncGraphToDocs) Read: ├── Auto-inject: Query(input, top3) → similarity summary → [Related Memory Docs] → system prompt (read-only) └── LLM active: doc_query → Consume(read and delete) → context.Append{Timestamp: d.CreatedAt, Source: "cold_storage"} per doc → Docs written to context timeline with original timestamps, deleted from docStore Cold: FindColdDocs(72h, ≤2 accesses) → docToTriples → Graph ↓ Cold doc distillation ↑ Auto recall ③ Graph (Graph Database) SQLite — entities + relations tables Write: memory_commit / cold doc distillation / Pipeline rule distillation / memory_merge Read: ├── Auto recall: Indexer.BuildContext(input) │ → CleanTemplateText → vector entity search + jieba keywords → SQLite LIKE + BFS depth=2 │ → [Memory Index] → system prompt └── LLM active: memory_recall / memory_merge / memory_purge / memory_edit / memory_delete_entity Social: person_query / set_trait / relate (wraps GraphDB) ④ Distillation Pipeline (30min heartbeat) distillContext → window > 2×maxSize → force Prune syncGraphToDocs → Graph snapshot to Document (cross-layer searchable) reorgGraph: Step1: indexer.Sync — rebuild entity vector index Step2: docStore.Reindex — rebuild document vector index Step3: Cold docs → docToTriples → GraphDB.Commit Step4: Entity similarity (Bigram Jaccard > 0.75) → consolidation → LLM decides merge Step5: evaluateGraphQuality → LLM decides keep/delete ⑤ Pipeline Rule Distiller (every heartbeat) distillOnce → regex match personal info: 我叫X / 我住在X / 我喜欢X / 我X岁 / 我的工作是X → triples → GraphDB.Commit ``` ### Vectorization: Pretrained Word Embedding + TF-IDF Fallback All vectorization unified under `StaticEmbedder` (`internal/memory/static_embedder.go`): **Primary Strategy — Pretrained Word Embedding (aligned 300d)** - Model sources: ConceptNet Numberbatch (77-language aligned) / fastText Chinese / fastText English - Configured via `core.agent.embedding_model_path` (comma-separated multi-model) - Path containing `numberbatch` → auto-download ConceptNet; `cc.zh.` → fastText Chinese; `cc.en.` → fastText English - Falls back to ConceptNet by default if no match - **Pre-processing**: `CleanTemplateText` strips QQ tool-call templates and timestamp noise - **Three-branch vector source**: agent→Response, user→Input, cold_storage→Input+Response - **TF-IDF fallback**: auto-fallback to bag-of-words TF-IDF if model download fails or not configured | Location | File | Purpose | Algorithm | |----------|------|---------|-----------| | Context Prune | `context.go:155` | Trim low-relevance context events | VectorizeClean → CosineSimilarity(queryVec, evt.Vector) | | DocStore Query | `document.go:206` | Recall from document memory | TF-IDF Vectorize → vec.Search | | Indexer Entity Search | `indexer.go:96+111` | Recall from Graph | vector entity search + jieba keywords → SQLite LIKE + BFS | | Entity Similarity Detection | `agent.go` | Detect similar entities in Graph | Bigram Jaccard (>0.75 → consolidation) | ### Context Layer `internal/agent/core/context.go` — `RelevanceContext` - Maintains recent event list, writes JSON on each Append/Prune to prevent data loss - Pre-vectorization pipeline runs through `CleanTemplateText` to remove template noise - Three-branch `textForVector`: agent events → Response, user events → Input, cold_storage → Input+Response - Pretrained word embedding `StaticEmbedder` → CosineSimilarity, auto-fallback to TF-IDF if unavailable - Protects last 10 events from eviction; excess candidates are sorted by relevance and archived to document memory - Archived events retain original timestamps; on `doc_query` recall they re-insert into the context timeline at their original position ### Document Layer `internal/memory/document/document.go` — `Store` - Consume-on-read mode: deleted after `doc_query` retrieval - Dual recall: char-bigram TF-IDF vector search + jieba keyword extraction ### Graph Layer `internal/memory/graph.go` — `GraphDB` - SQLite WAL mode, two tables (driver: mattn/go-sqlite3, CGo) - `Commit(triples)` — UPSERT entities + INSERT relations - `Recall(keywords, depth)` — Keyword LIKE search + BFS traversal ### Memory Tools (LLM-callable) | Tool | Purpose | |------|---------| | `memory_recall` | Recall from Graph | | `memory_commit` | Write triples to Graph | | `memory_merge` | Merge two entity nodes | | `memory_purge` | Delete entity node | | `memory_edit` | Edit existing entity/relation | | `memory_delete_entity` | Delete entity and all its relations | | `memory_introspect` | View memory statistics | | `doc_query` | Search from Document | | `doc_commit` | Write to Document | ### Other Memory Layers - **Social** (`internal/memory/social/social.go`) — Persona traits and relationship network, wraps GraphDB entity types - **Text Memory** (`internal/memory/text/text.go`) — Raw conversation JSONL logs, rotation strategy - **Memory Indexer** (`internal/memory/indexer.go`) — Entity vectorization + jieba keyword extraction, auto-inject into system prompt ### Distillation Pipeline `internal/memory/pipeline/pipeline.go` - 10-minute tick, 7-day retention - Rule-based triple extraction (name / location / likes / age / job patterns) - Writes to GraphDB ### Context Pruning ``` Heartbeat 30min: ├── distillContext() — Distill current context ├── syncGraphToDocs() — Graph → Document sync └── reorgGraph() ├── Indexer.Sync() ├── DocStore.Reindex() ├── Cold docs → Graph └── Entity conflicts → enqueueConsolidationTask() │ selfInputCh → LLM decides merge/skip ``` Entity conflict detection heuristic (bigram Jaccard > 0.75), routed through `selfInputCh` internal channel, LLM makes the final merge decision. : ## Knowledge Base `internal/knowledge/knowledge.go` - File directory `knowledge//content.md` - Independent TF-IDF index, separate from memory system - `knowledge_search` / `knowledge_create` / `knowledge_list` : ## Provider & Lua Adapter Layer ``` Agent │ ▼ Provider Interface (Name / Chat / ChatStream) │ ├── OpenAIProvider — Standard OpenAI API ├── OllamaProvider — Local Ollama └── LuaAdaptedProvider (primary) ├── Serialize CompletionRequest → JSON ├── adapter.transform_request() → API format ├── HTTP request + adapter.headers ├── adapter.transform_response() → unified format └── Deserialize ``` Code: `internal/agent/api/provider.go` ProviderManager manages multiple sources, fallback in registration order. Lua adapters at `internal/lua/adapters/`, each `.lua` script defines `transform_request` / `transform_response` / `transform_stream_chunk`. VM built-ins: `json.encode` / `json.decode` / `log` / `http_get` / `http_post`. : ## Plugin System ### Four Loading Methods | Method | Registration Mechanism | Compilation | Usage | |--------|----------------------|-------------|-------| | Built-in | `init()` → `RegisterFactory` | `internal/plugins/` compiled into kernel | webui/cli/timer/mcp etc. | | External `.so` | C ABI dynamic loading | `-buildmode=c-shared` + bridge | qq/files/web/memo etc. | | Lua script plugin | Parse `main.lua` to register tools | No compilation, hot-reload | luaplugintest/testlua etc. | | SKILL plugin | Parse `SKILL.md` | Markdown definition | OpenClaw compatible | Built-in plugin registration: `internal/plugins/all.go` blank imports → each plugin `init()` → `Registry.Load()` scans directory to match factory. External plugin loading: `internal/plugin/dynamic.go` → copy to SHA256 temp path (bypass `plugin.Open` path cache) → `Open` + `Lookup("NewPlugin")`. Lua script plugin loading: `internal/lua/` → parse `main.lua` via Lua VM, call `start()` to register tools. ### PluginSDK Four Channels ``` Plugin ──→ Kernel RegisterTool(name, fn) ──→ buildToolDefs() / executeToolCall() RegisterStage(stage, fn, scope...) ──→ runStage() called at corresponding phase (scope: global / own-tools-only) Subscribe(event, fn) ──→ Publish() notify all subscribers RegisterOutputChannel(name, caps, desc, handler) ──→ output_send__{name} tool generation ``` `internal/sdk/` bridges external SDK interface to kernel, defines complete PluginSDK: ```go sdk.RegisterTool(name, def, handler) sdk.RegisterStage(stage, handler, scope...) sdk.Publish(event) sdk.InjectInput(source, channel, payload) sdk.InjectInterrupt(source, channel, payload) sdk.Memory().Recall/Commit sdk.Knowledge().Search/Create sdk.Settings().Get/Set/List sdk.RegisterOutputChannel("qq", sdk.CapText, "QQ消息通道，content为JSON: {text, group_id, user_id}", handler) ``` ### Plugin Interface ```go type Plugin interface { Name() string Start(sdk *PluginSDK) error Stop() error } ``` : ## Output Channel System Each output channel generates two tools: | Tool | Type | Purpose | |------|------|---------| | `output_send__{name}` | function | Accepts a `content` JSON string parameter, transparently routed to the plugin's registered handler | | `output_send__{name}_help` | function | Returns the channel's JSON format documentation (desc field) | Capability flags: | Flag | Value | Meaning | |------|-------|---------| | CapText | 1 | Plain text | | CapFile | 2 | File | | CapImage | 4 | Image | | CapAudio | 8 | Audio | | CapStructured | 16 | Structured data | System prompt injection: output gate rules, multi-call support, long message splitting. Child agent permission: `output_send__` prefix tools are allowed. : ## EventAgentLLMChain Event - Event type `agent_llm_chain` emitted after each LLM turn - Contains the full LLM response (text + tool calls + reasoning) - WebUI subscribes to this event via SSE for real-time display - Plugins can subscribe via EventSubscriber (read-only for external plugins) : ## Restricted External Plugin API Layered architecture: internal plugins get full PluginSDK, external plugins get restricted SDK. | API | Internal Plugin | External Plugin | |-----|-----------------|-----------------| | SocialAPI | Full read/write | Read-only (GetPerson / GetTrait / GetRelations / GetNetwork / ListPersons) | | EventSubscriber | Subscribe + Publish | Subscribe-only (no Publish capability) | Extended fields: - Triple extensions: Confidence, SubjectType, ObjectType - Relation extension: Confidence : ## Interrupt Mechanism ``` interceptLoop (goroutine) ├── InputInterruptChan() ← Timer/message notifications ├── (a) cancelLLM() → Cancel Provider HTTP request ├── (b) interceptCh → process() pre-loop read [interrupt message] └── (c) InjectInput() → Trigger new processing when idle ``` Three delivery paths: | Path | Effect | Timing | |------|--------|--------| | cancelLLM | Cancel current HTTP request | On context.Canceled | | interceptCh | Insert `[interrupt message]` in process() | Before each LLM call | | InjectInput | Trigger new processing when eventLoop is idle | No ongoing request | Code: `internal/agent/core/agent.go` — `interceptLoop` / `drainInterrupt` : ## Configuration System `internal/config/registry.go` — ConfigRegistry - SQLite storage, `config` table + `config_` independent tables - Namespaces: `core.*` / `plugin..*` - `RegisterDefault` inserts ~80 default keys (seeds for 8 LLM sources) - WebUI settings page `/api/v1/settings` for read/write : ## Code Structure ``` cmd/homed/main.go — Entry: assembles all subsystems cmd/waiter/main.go — CLI client (Unix socket) internal/ ├── agent/ │ ├── core/ — Agent core (eventLoop/process/stages/context) │ │ └── plugin_health.go — Plugin health monitoring and auto-restart │ ├── api/ — Provider interface + LuaAdaptedProvider │ ├── io/ — IOManager (queue/interrupt/output) │ └── personal.go — Persona loading ├── plugin/ │ ├── registry.go — Registry + lifecycle │ ├── dynamic.go — .so dynamic loader │ └── manifest.go — plugin.json metadata ├── plugins/ — Built-in plugin implementations │ ├── all.go — Blank imports │ ├── webui/ — HTTP server + embedded SPA │ ├── cli/ — Unix socket CLI │ ├── timer/ — Timer │ ├── cmd/ — Command execution │ ├── mcp/ — MCP protocol │ ├── openclaw/ — OpenClaw compatible │ ├── agentcli/ — PTY terminal │ ├── healthcheck/ — Health check │ └── pluginmgr/ — Plugin manager ├── sdk/ — PluginSDK definitions │ ├── plugin.go — Plugin interface + PluginSDK │ ├── memory.go — MemoryAPI │ ├── knowledge.go — KnowledgeAPI │ ├── settings.go — SettingsAPI │ └── llm.go — LLMAPI ├── memory/ │ ├── graph.go — SQLite graph database │ ├── indexer.go — Graph → vector index │ ├── vector/store.go — TF-IDF vector engine │ ├── document/document.go — Document memory │ ├── text/text.go — Text logs │ └── pipeline/ — Distiller ├── knowledge/knowledge.go — Knowledge base ├── lua/ │ ├── vm.go — Lua VM (json/log/http) │ └── adapters/ — 8 LLM adapter scripts ├── config/registry.go — SQLite config center ├── events/bus.go — Event bus ├── tracker/ — OverlayFS change tracking ├── supervisor/ — Daemon management ├── skill/ — Skill plugin management │ └── manager.go — Skill loading/matching └── meta/ — Meta information └── meta.go — Agent metadata ```