JianFeeeee f855893d1c feat(memory): 媒体接入 L0/L2——digest 挂到对话事件,归档时引用随之转移
a822674 的 CAS 层之上把媒体真正接进记忆链路。此前 CAS 只是个孤立的
存储包,没有任何写入方。

## 媒体进入对话有两条路,两条都只把文字留给记忆

  1. 用户直接发图 → processMediaInput → mediaToBlocks
     ContextEvent.Input 只存 alt 文本("[从 qq 收到了 image]"),
     base64 随 message 数组发给模型后就丢了。
  2. 插件注入 → SetToolBlocks → process.go 的 mediaMsg
     ToolResultItem.Output 只存那句 "[已将图片注入后续对话] /tmp/x.png"。

于是下一轮起,模型能看到的只剩一句路径或一句 alt。那个文件被删、被覆盖,
或者本来就是 /tmp 下的临时产物,连线索都断了。

现在两条路在同一处收口(captureBlockMedia):从 ContentBlock 的 data URL
取出字节存进 CAS,digest 挂到当轮 ContextEvent。

## 改动

internal/agent/core/mediaref.go(新)
  - captureBlockMedia:ContentBlock → CAS。只处理 data URL——http(s) URL
    拿不到字节就无法内容寻址,而「下载它再存」会把一次对话变成一次网络
    请求(超时、鉴权、SSRF 全来了),不在本层解决。
  - stage/drainMediaDigests:媒体在 process() 期间被捕获,而承载它的
    ContextEvent 要等 process() 返回后才 Append——此刻还没有 owner_id,
    故先缓存。与既有 pendingMedia 同一手法,同受 a.mu 保护。
  - bindEventMedia:双向落地。evt.Media 让事件记得引了什么(随
    context.json 持久化),media_refs 让 CAS 知道谁在引用(GC 的判断依据)。
    只写一边的话,要么 GC 误删仍被引用的内容,要么孤儿永远清不掉。
  - mediaSummaryForEvent:把已有描述拼成一行写进 Input。这是方案 C 的
    落点——**描述文本才是持久语义记忆,blob 只是缓存**。blob 可能被容量
    GC 淘汰,但描述会一直留在 L0/L2/L3 的文本里,让「那张紫蓝红三色带图」
    几个月后仍可被检索。

ContextEvent 新增 ID 与 Media 两个字段,都是 omitempty:
  - ID 懒生成,只有真要挂媒体时才赋值。绝大多数对话没有媒体,全量生成
    会让每条事件都多一个字段进 context.json。
  - 存量 context.json 读回来两字段皆空,不影响任何既有行为(有测试)。

RelevanceContext.Prune 归档时转移引用(transferMediaRefs):
  **先挂到归档文档、再注销原事件引用**。顺序不能反——先销后挂会让引用
  计数瞬时归零,若此刻后台 GC 正在跑就会把仍被记忆引用的内容当孤儿清掉。
  为此把 Prune 内的局部类型 scored 提为包级 scoredEvent(局部类型无法
  出现在方法签名上)。

media 包新增 OwnerContext/OwnerDocument/OwnerGraphSentence 常量:
  owner_kind 进了主键,拼错一个字符就是一条永远对不上的孤立引用——
  AddRef 不报错,DropOwner 也永远匹配不到。

## 配置

core.memory.media.enabled(默认 true)、.dir、.max_mb(2048)、
.gc_interval(6h)、.gc_min_age(1h)。

关闭后全链路静默跳过,对话行为与本特性上线前完全一致(有测试)。
mediaStore 为 nil 时同理——它是记忆增强,不是对话必需品,开不起来
只记一条 warning 不阻止启动。

## 测试(11 例)

入库与 MIME 归类、http URL 跳过、nil store 全链路 no-op、音视频混合、
stage/drain 清空语义、懒生成 ID、描述作为持久记忆、**归档转移期间内容
始终可读且 refcount 不归零**、无媒体存储时归档照常、context.json
向后兼容往返。

全仓 go build / go vet / go test 通过,SDK 冻结 diff = 0。

## 尚未接入

L3 图库的 graph_sentence owner(常量已备好,无写入方)、
描述生成的后台任务(Pending() 已就绪,尚无消费者)、
媒体 GC 的定时触发(配置项已注册,尚未接 ticker)。
2026-09-04 20:53:32 +08:00
2026-07-29 15:45:24 +08:00

⚠️ AI-Assisted Programming Notice: Parts of this project's code, documentation, and commit history were generated or modified with AI assistance. Key changes have been human-reviewed, but please evaluate and verify before use.

HomeAgent

中文: README.md

An Agent framework designed around separation of core domain and application domain. The kernel enforces a zero-IO policy — all external interaction (WebUI, QQ, CLI, file operations, web search, memos, etc.) is handled by the plugin layer; the kernel performs no direct IO operations.

Combined with a three-layer memory architecture (Context → Document → Graph), it maintains contextual coherence across long-running single-conversation sessions through tiered storage and automated archival.

homed (kernel, zero IO)  PluginSDK  plugins (all IO capabilities)

Since v1.0.0 external plugins are independent subprocesses, communicating with the kernel over stdio JSON-RPC (control plane) + a shared memory segment (data plane) + an event ring (notification plane). A plugin crash cannot take down the kernel and it restarts automatically; swapping plugin.bin gives true hot-reload.

Design Principles

Separation of Core Domain and Application Domain — The kernel's responsibilities are limited to LLM orchestration, memory management, and knowledge retrieval; all IO capabilities (message send/receive, file read/write, network requests, hardware interaction, etc.) are implemented by plugins. This separation defines domain boundaries at the Agent framework level, with distinct responsibility scopes for the kernel and plugins.

Three-Layer Memory Architecture — Manages information retention in long-running agents through a tiered storage strategy:

  • Context Layer: Pretrained word embedding / TF-IDF fallback relevance-scored event window, protects last 10 entries, maintains topK context entries
  • Document Layer: Temporary memory with automatic cold data sinking, also supports user-initiated submissions
  • Graph Layer: SQLite graph database, persists entity relationships and semantic memory, supports distillation pipelines to extract triples from conversations

Architecture Diagrams

1. Message Processing Sequence

sequenceDiagram
    participant U as User/Plugin
    participant IO as IOManager
    participant EV as eventLoop
    participant CTX as RelevanceContext
    participant LLM as LLM+Tool Loop
    participant ST as StageHost
    participant MEM as Three-Layer Memory

    U->>IO: InjectInput(type, payload)
    IO->>EV: inputCh
    rect lavender
        Note over EV: processTextInput
        EV->>ST: StageOnInput  Plugin can rewrite/short-circuit
        EV->>CTX: Prune(input,topK)  StaticEmbedder/TF-IDF cosine pruning
        CTX->>MEM: Low-score events archived to Document (original timestamp)
        EV->>CTX: Append(input)  CleanTemplateText→three-branch vector→5s write
    end
    rect lightgreen
        Note over EV,LLM: process()
        EV->>MEM: buildMemoryContext  Indexer recalls from Graph (vector+jieba→BFS depth=2)
        EV->>MEM: buildSystemPrompt  DocQuery summary+Graph memory index+Persona+Skills
        EV->>ST: StagePreAction  Plugin can pre-intercept
        loop Tool loop
            LLM->>LLM: drainInterrupts
            LLM->>LLM: LLM Chat
            LLM->>ST: StagePostAction  Plugin can modify/short-circuit
            alt No tool call
                LLM-->>EV: Returns response
            else
                loop Each tool
                    ST->>ST: StageBeforeToolcall  Plugin can reject
                    LLM->>LLM: executeToolCall
                    ST->>ST: StageAfterToolcall
                end
            end
        end
    end
    rect lightpink
        Note over EV: emitResponse
        CTX->>CTX: Append(response)
        ST->>ST: StageBeforeOutput  Plugin can rewrite
        EV-->>U: ResponseCh CLI sync
        EV-->>EV: Event bus WebUI SSE
        ST->>ST: StageAfterOutput  Read-only
        EV->>MEM: emitMemoryCandidate
    end

2. Stage Pipeline

flowchart LR
    S1[① on_input] --> S2[② pre_action]
    S2 --> S3[③ post_action]
    S3 --> Q{Has tool?}
    Q -->|Yes| S4[④ before_toolcall]
    S4 --> T[executeToolCall]
    T --> S5[⑤ after_toolcall]
    S5 --> S3
    Q -->|No| S6[⑥ before_output]
    S6 --> S7[⑦ after_output]
    style S1 fill:#e1f5fe
    style S3 fill:#fff3e0
    style S6 fill:#e8f5e9

3. Three-Layer Memory

flowchart TB
    subgraph C[① Context Working Window]
        RC[RelevanceContext]
        A[Append] -->|CleanTemplateText→three-branch vector| RC
        P[Prune StaticEmbedder/TF-IDF Cosine] -->|Low score original timestamp| D
        P -->|Keep| TL[timeline→chronological→system prompt]
    end
    subgraph D[② Document File Memory]
        DS[DocStore JSON+TF-IDF]
        Q1[Query summary auto-inject] -->|[Related Memory Docs]| SP
        Q2[doc_query LLM active recall] -->|Consume+delete source| DS
        Q2 -->|Original timestamp write to context| RC
        CD[FindColdDocs 72h] -->|docToTriples| G
    end
    subgraph G[③ Graph Database]
        DB[(SQLite)]
        IDX[Indexer vector+jieba→BFS depth=2] -->|[Memory Index]| SP
        MEM[memory_recall/commit/merge/purge/edit]
        SOC[person_query/set_trait]
    end
    subgraph H[④ Heartbeat Distillation]
        REORG -->|Step3 Cold docs| CD
        REORG -->|Step4 Bigram Jaccard| CONS[consolidation]
        PIPE[Pipeline regex] -->|Name/Address/Likes/Age/Job| DB
    end
    SP[System Prompt] -->|Sequential assembly| LLM
    LLM[LLM] -->|doc_query| Q2
    LLM -->|memory_recall| MEM

See assets/docs/en/ARCHITECTURE.md for details.

Web Mascot

HomeAgent Web Mascot Xiaozhai

Xiaozhai — HomeAgent Web Mascot

Quick Start

make build build-cli
./build/homed -data /tmp/ha
# Interactive mode
./build/waiter

# Or single message
echo "Hello, remember that I like coffee" | ./build/waiter

API keys are configured via WebUI http://localhost:8080 settings page, persisted in SQLite.

Code Structure

cmd/homed/          Daemon entry, assembles all subsystems
cmd/waiter/         CLI client (Unix socket)
internal/
├── agent/core/     Agent core: event loop, LLM tool loop, 7-stage pipeline
├── agent/api/      LLM Provider + 8 Lua adapters
├── memory/         Three-layer memory: Graph(SQLite) / Document(JSON+TF-IDF) / Text(JSONL) + StaticEmbedder(pretrained word embedding/TF-IDF fallback) + CleanTemplateText(de-template)
├── knowledge/      Knowledge base (filesystem + TF-IDF)
├── plugin/         Plugin registry + subprocess loader (stdio RPC + shared memory segment + event ring)
├── plugins/        11 built-in plugins (webui/cli/timer/cmd/mcp/clawhubadapter/agentcli/healthcheck/pluginmgr/files/cfgmgr)
├── sdk/            PluginSDK (Tool/Stage/Event three channels)
├── config/         SQLite config center
├── events/         Event bus
└── internal/lua/adapters/   8 LLM protocol adapter scripts
External plugin development: see [homeagent-sdk](https://gitcode.com/JianFeeeee/homeagent-sdk) repo, use `plugindev` toolchain, refer to Go and Lua examples in `example/`

Project Status

v1.0.0 — External plugins moved from C ABI shared libraries to subprocess + shared memory. The first release that no longer loads .so/.dll, and it is incompatible with 0.9.x (existing plugins must be rebuilt into plugin.bin with the new plugindev, though business code needs zero changes). Eliminates 6 classes of defects that had caused production incidents: hot-reload silently failing (DF_1_NODELETE making dlclose a no-op), no crash isolation (a plugin panic took down homed), stage lost updates (35.8~36.8% loss under the copy model), uncancellable cgo timeouts (linear OS-thread leaks), output_send reporting false success (the model was told "sent" while the message never went out), and Windows capability degradation (only 3 stage fields visible, no write-back). Three communication planes: stdio JSON-RPC (control) + shared memory segment (data) + event ring (notification); the privilege gradient is now enforced by three explicit gates. RPC round-trip p50 24.1µs; crash-to-recovery under 1s.

v0.9.0 — C ABI v2: external plugin Stage callbacks can now write back (invoke_stage gained a result out-param; plugins may mutate RawMessage/LLMText/ToolResults etc. in OnInput/AfterToolcall/PostAction and have them synced to the core). ABI version now tracks core minor releases (v0.9.x → ABIVersion=2, version_min=1 keeps old plugins loadable). Also fixes the tool-loop zen-compat placeholder that wrongly fired on first-turn system context tail. The SDK ships an enhanced sanitizer example (bad-UTF-8 / U+FFFD / ANSI-escape scrub across the whole pipeline). This ABI retired with v1.0.0.

v0.8.0 — Core is functional, plugin system enhanced. 20+ built-in plugins. External plugin development via homeagent-sdk repo. Added input channel NoMemory/Cleaner, ChannelDef, plugin disable/enable system (CLI + WebUI), plugindev toolchain C ABI ChannelDef support.

Documentation

Downloads

Releases ship three variants:

Variant Contents For
full homed + waiter + desktop GUI + systemd unit Single-machine, everything
server homed + waiter + systemd unit Servers (no desktop environment)
client waiter + desktop GUI Connecting to a remote HomeAgent
  • Linux: .deb (amd64/arm64), .rpm (x86_64), .tar.gz
  • Windows: HomeAgent_v1.0.0_{Full,Server,Client}_win64.exe (NSIS installer)
  • Portable: homeagent-bin-<os>_<arch>.tar.gz (homed/waiter/initconfig)
  • Verification: SHA256SUMS

The macOS homed requires a native macOS build (CGO + sqlite3), so release packages ship only waiter/initconfig.

Build

make build build-cli    # Build daemon + CLI
make test               # go test ./...
make install            # Install to system

Dependencies: Go 1.25+, CGo (go-sqlite3), Linux/Windows.

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