feat: NoMemory/Cleaner memory system + doc update

- _sdk_local/ removed (moved to standalone sdk repo)
- internal/agent/core: NoMemory/Cleaner data-flow breakpoints
- internal/memory: clean_text, document store refactor
- internal/plugin/registry.go: plugin API alignment
- docs: PLUGIN_DEV.md, ARCHITECTURE.md NoMemory/Cleaner docs
- plan.md, review.md: status update
This commit is contained in:
JianFeeeee
2026-07-25 11:17:31 +08:00
parent a51124aa92
commit b31db0f88e
36 changed files with 639 additions and 2488 deletions

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@ -8,7 +8,7 @@ HomeAgent's cognitive architecture consists of three subsystems: the event loop
**The event loop (eventLoop)** is a three-way select: `a.io.InputChan()` receives external user input and dispatches to `processTextInput` / `processMediaInput`; `a.selfInputCh` receives internal system tasks (memory merges, distillation callbacks) routed through `processConsolidation` under the `_consolidation_` output channel; `a.ctx.Done()` accepts shutdown signals. A concurrently running `interceptLoop` goroutine independently reads `a.io.InputInterruptChan()` — on receiving a high-priority interrupt, it cancels the in-flight LLM HTTP request (`a.cancelLLM()`), then writes the event to `a.interceptCh`. This channel is drained non-blockingly by `drainInterrupts()` before each LLM call in `process()`, injecting interrupts as `[打断消息]` formatted entries into message history. The three interrupt delivery paths carry distinct semantics: `cancelLLM` terminates the current HTTP request, `interceptCh` injects text before the next LLM turn, and `InjectInput` triggers a new processing cycle when the event loop is idle.
**The stage pipeline (StageHost)** manages two registration categories: tool definitions (ToolDef) and stage handlers (StageHandler). `RegisterTool` rejects duplicate names, infers the owning plugin name from the tool name prefix, and maintains a `toolPlugins` mapping. `RegisterStage` appends handlers to the corresponding stage list. On stage execution (`RunStage`), **all registered handlers execute in parallel via goroutines**, sharing a single `*StageContext` protected by `sync.RWMutex`. Individual handler panics are recovered independently without affecting other handlers. Short-circuit semantics are implemented by checking `ctx.Response != nil` — any stage handler can set this value to terminate the pipeline early. `ExecuteTool` includes built-in panic recovery with stack-trace recording. `UnregisterPluginTools` removes a plugin's tool set during hot-reload.
**The stage pipeline (StageHost)** manages two registration categories: tool definitions (ToolDef) and stage handlers (StageHandler). ToolDef includes two optional memory control fields: `NoMemory bool` — when true, the tool's output is excluded from vectorization/jieba/distillation (original text preserved); and `Cleaner func(string) string` — a filter applied before the output enters the computation layer (e.g., extracting a `content` field from JSON). Neither modifies the original output; both only affect the computation layer input. `RegisterTool` rejects duplicate names, infers the owning plugin name from the tool name prefix, and maintains a `toolPlugins` mapping. `RegisterStage` appends handlers to the corresponding stage list. On stage execution (`RunStage`), **all registered handlers execute in parallel via goroutines**, sharing a single `*StageContext` protected by `sync.RWMutex`. Individual handler panics are recovered independently without affecting other handlers. Short-circuit semantics are implemented by checking `ctx.Response != nil` — any stage handler can set this value to terminate the pipeline early. `ExecuteTool` includes built-in panic recovery with stack-trace recording. `UnregisterPluginTools` removes a plugin's tool set during hot-reload.
**The context window (RelevanceContext)** maintains a chronologically ordered event list. `Append` applies `CleanTemplateText` to strip QQ templates and timestamp noise before computing the embedding vector using a three-branch strategy (agent events use Response, user events use Input, cold_storage uses Input+Response). `Prune` triggers when the event count exceeds `topK`: it **unconditionally protects the last 10 events from eviction** (recency bias), scores remaining candidates against the current input via CosineSimilarity, keeps `topK - 10` highest-scoring entries (floor at 0), then re-sorts chronologically. Pruned events from sources other than `agentcli` and `terminal` are archived to the Document layer via `docStore.ContextToDoc`, retaining original timestamps. Persistence uses 5-second debounced writes to a JSON file.

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@ -250,6 +250,10 @@ shared by both Windows DLL and Linux/macOS .so builds. No manual bridge code nee
s.RegisterTool("weather_query", sdk.ToolDef{
Name: "weather_query",
Description: "Query weather for a specified city",
NoMemory: false, // false=output participates in memory, true=skip
// Cleaner: func(output string) string { // Optional: clean output before vector/jieba/distill
// return extractJSON(output, "content")
// },
Parameters: map[string]interface{}{
"type": "object",
"properties": map[string]interface{}{
@ -270,6 +274,26 @@ s.RegisterTool("weather_query", sdk.ToolDef{
})
```
##### NoMemory and Cleaner
`NoMemory` and `Cleaner` are optional fields on `ToolDef` that control how tool output participates in the **memory computation layer** (vectorization, jieba tokenization, distillation):
- **`NoMemory`** (default `false`): When `true`, the tool's output is excluded from all memory computation (vector, tokenization, distillation), but the original text is preserved in Context and Document. LLM attention is unaffected. Use cases: `cmd_run` (unpredictable noise in command output), pure operation tools like file upload/delete.
- **`Cleaner`** (optional): A function `func(output string) string`. When set, the tool output is filtered through this function before participating in vectorization/jieba/distillation. Typical use: stripping SQL prefixes, extracting a `content` field from JSON. The original output is never modified — Cleaner only affects the computation layer input.
Decision matrix:
```
Tool output → valuable for LLM attention?
├── No → NoMemory=true (output preserved, skipped in computation)
└── Yes → Contains cleanable noise?
├── Yes → Cleaner filters before computation
└── No → Normal memory, no extra handling
```
> **Note**: `Cleaner` is a Go `func` type (`json:"-"`), cannot cross C ABI boundaries. Not available for Lua plugins or remote plugins.
#### Stage Hooks — Intervene in message processing flow
7 stages: