mirror of
https://github.com/TencentCloud/TencentDB-Agent-Memory
synced 2026-07-10 12:34:27 +00:00
docs: add Hermes quick start to README and Docker support
This commit is contained in:
chrishuan
@@ -159,6 +159,32 @@ Once enabled, TencentDB Agent Memory automatically handles conversation capture,
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}
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```
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### 5. Hermes Gateway Quick Start (Docker, requires version ≥ 0.3.0)
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In addition to OpenClaw, this plugin also supports the [Hermes](https://github.com/hermes-ai/hermes) Agent. Start a memory-enabled Hermes with a single command:
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```bash
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docker run -d \
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--name hermes-memory \
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--restart unless-stopped \
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-p 8420:8420 \
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-e MODEL_API_KEY="your-api-key" \
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-e MODEL_BASE_URL="https://api.lkeap.cloud.tencent.com/v1" \
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-e MODEL_NAME="deepseek-v3.2" \
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-e MODEL_PROVIDER="custom" \
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-v hermes_data:/opt/data \
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agentmemory/hermes-memory:latest
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```
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The image supports `linux/amd64` and `linux/arm64`. It ships with Tencent Cloud DeepSeek-V3.2 defaults — to use a different model, pass `MODEL_BASE_URL`, `MODEL_NAME`, and `MODEL_PROVIDER` accordingly.
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Verify:
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```bash
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curl http://localhost:8420/health # Check Gateway health
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docker exec -it hermes-memory hermes # Enter Hermes conversation
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```
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---
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## 🔧 Configurable Parameters
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@@ -160,6 +160,32 @@ openclaw gateway restart
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}
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```
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### 5. Hermes Gateway 快速启动（Docker，需版本号 ≥ 0.3.0）
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除 OpenClaw 外，本插件也支持 [Hermes](https://github.com/hermes-ai/hermes) Agent。一行命令即可启动带记忆能力的 Hermes：
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```bash
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docker run -d \
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--name hermes-memory \
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--restart unless-stopped \
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-p 8420:8420 \
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-e MODEL_API_KEY="your-api-key" \
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-e MODEL_BASE_URL="https://api.lkeap.cloud.tencent.com/v1" \
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-e MODEL_NAME="deepseek-v3.2" \
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-e MODEL_PROVIDER="custom" \
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-v hermes_data:/opt/data \
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agentmemory/hermes-memory:latest
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```
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镜像支持 `linux/amd64` 和 `linux/arm64`。内置腾讯云 DeepSeek-V3.2 默认配置，如需自定义模型可额外传入 `MODEL_BASE_URL`、`MODEL_NAME`、`MODEL_PROVIDER`。
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验证：
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```bash
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curl http://localhost:8420/health # 检查 Gateway 状态
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docker exec -it hermes-memory hermes # 进入 Hermes 对话
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```
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---
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## 🔧 可调参数
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@@ -0,0 +1,106 @@
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# TDAI Memory + Hermes Agent — All-in-One Open Source Image
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#
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# Based on install_hermes_ubuntu24.04_hongkong.sh installation logic.
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# Pre-installs Hermes Agent + memory_tencentdb plugin + TDAI Memory Gateway.
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#
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# Build: docker build -f Dockerfile.hermes -t hermes-memory .
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# Run: docker run -it -p 8420:8420 \
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# -e MODEL_API_KEY=xxx \
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# hermes-memory
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#
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# Hermes and TDAI share a single set of model config via MODEL_* env vars.
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FROM ubuntu:24.04
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ENV DEBIAN_FRONTEND=noninteractive
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ENV PYTHONUNBUFFERED=1
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# ============================================================
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# System dependencies (mirrors install script)
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# ============================================================
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RUN apt-get update && \
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apt-get install -y git curl ripgrep ffmpeg python3-pip python3-venv \
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build-essential python3-dev make g++ && \
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# Node.js 22
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curl -fsSL https://deb.nodesource.com/setup_22.x | bash - && \
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apt-get install -y nodejs && \
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rm -rf /var/lib/apt/lists/*
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# ============================================================
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# Install TDAI Memory Gateway (npm)
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# ============================================================
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WORKDIR /opt/tdai-gateway
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RUN echo '{"name":"tdai-memory-standalone","version":"1.0.0","type":"module","private":true}' > package.json && \
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npm install @tencentdb-agent-memory/memory-tencentdb@latest tsx && \
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npm cache clean --force
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# ============================================================
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# Install Hermes Agent (official installer, skip browser)
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# ============================================================
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ENV HERMES_SKIP_BROWSER_SETUP=1
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RUN curl -fsSL https://raw.githubusercontent.com/NousResearch/hermes-agent/main/scripts/install.sh -o /tmp/install-hermes.sh && \
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# Patch: skip browser setup
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sed -i '/^install_node_deps() {/a\ if [ "${HERMES_SKIP_BROWSER_SETUP:-0}" = "1" ]; then echo "Skipping browser deps"; return 0; fi' /tmp/install-hermes.sh && \
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# Patch: shallow clone
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sed -i 's/git clone --branch/git clone --depth 1 --branch/' /tmp/install-hermes.sh && \
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HOME=/root bash /tmp/install-hermes.sh --skip-setup && \
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rm -f /tmp/install-hermes.sh
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# Hermes data dir (user-independent)
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ENV HERMES_HOME=/opt/data
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# Remove installer-generated config so HERMES_HOME takes sole precedence
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RUN rm -f /root/.hermes/config.yaml /root/.hermes/.env
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# Link memory_tencentdb plugin into Hermes bundled plugin discovery path
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# (plugins/memory/__init__.py scans <hermes-repo>/plugins/memory/<name>/)
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RUN ln -sf /opt/tdai-gateway/node_modules/@tencentdb-agent-memory/memory-tencentdb/hermes-plugin/memory/memory_tencentdb \
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/usr/local/lib/hermes-agent/plugins/memory/memory_tencentdb
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# ============================================================
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# Configuration — Unified model config (shared by Hermes + TDAI)
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# ============================================================
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RUN mkdir -p /opt/data/tdai-memory
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# -- Unified model config (users only need to set these) --
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# MODEL_API_KEY must be passed at runtime via -e (not baked into image)
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ENV MODEL_NAME=deepseek-v3.2
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ENV MODEL_BASE_URL=https://api.lkeap.cloud.tencent.com/v1
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ENV MODEL_PROVIDER=custom
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# -- Gateway port --
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ENV TDAI_GATEWAY_PORT=8420
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ENV TDAI_GATEWAY_HOST=0.0.0.0
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ENV TDAI_DATA_DIR=/opt/data/tdai-memory
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# -- Plugin connection (Hermes -> Gateway) --
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ENV MEMORY_TENCENTDB_GATEWAY_HOST=127.0.0.1
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ENV MEMORY_TENCENTDB_GATEWAY_PORT=8420
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HEALTHCHECK --interval=30s --timeout=5s --retries=3 \
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CMD curl -sf http://localhost:8420/health || exit 1
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EXPOSE 8420
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VOLUME ["/opt/data"]
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# ============================================================
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# CMD: Sync MODEL_* -> generate configs -> start Gateway (foreground)
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# Use: docker exec hermes-memory hermes (on-demand)
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# ============================================================
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CMD ["bash", "-c", "\
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mkdir -p /opt/data/tdai-memory && \
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CFG=/opt/data/config.yaml && \
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ENVFILE=/opt/data/.env && \
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export TDAI_LLM_MODEL=\"${MODEL_NAME}\" && \
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export TDAI_LLM_BASE_URL=\"${MODEL_BASE_URL}\" && \
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export TDAI_LLM_API_KEY=\"${MODEL_API_KEY}\" && \
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printf \"model:\\n default: \\\"${MODEL_NAME}\\\"\\n provider: \\\"${MODEL_PROVIDER}\\\"\\n base_url: \\\"${MODEL_BASE_URL}\\\"\\n\\nmemory:\\n provider: memory_tencentdb\\n\" > \"$CFG\" && \
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printf \"OPENAI_API_KEY=${MODEL_API_KEY}\\n\" > \"$ENVFILE\" && \
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echo \"=== Config: model=${MODEL_NAME}, provider=${MODEL_PROVIDER}, url=${MODEL_BASE_URL} ===\" && \
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echo \"=== Gateway starting... ===\" && \
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echo \"=== Use: docker exec -it <container> hermes to start a conversation ===\" && \
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exec node --import tsx/esm \
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/opt/tdai-gateway/node_modules/@tencentdb-agent-memory/memory-tencentdb/src/gateway/server.ts \
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"]
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@@ -0,0 +1,134 @@
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# Hermes + TDAI Memory — 一体化开源镜像
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预装 Hermes Agent + TDAI Memory 插件，单容器同时运行两个服务。
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只需配置一个 API Key 即可启用 Hermes 对话 + 四层记忆系统。
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## 架构
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```
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┌──────────────────────────────────────────────────────┐
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│ 容器内部 │
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│ │
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│ ┌──────────────────────┐ ┌─────────────────────┐ │
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│ │ Hermes Agent │ │ TDAI Memory │ │
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│ │ (Python) │───▶│ Gateway (Node.js) │ │
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│ │ │HTTP│ :8420 │ │
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│ │ memory_tencentdb │ │ │ │
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│ │ plugin (内置) │ │ SQLite 本地存储 │ │
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│ └──────────────────────┘ └─────────────────────┘ │
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│ │
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│ 统一模型配置（Hermes + TDAI 共用一套 MODEL_* 变量） │
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└──────────────────────────────────────────────────────┘
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```
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## 快速开始
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```bash
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# 构建（不依赖项目源码，任意目录均可）
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docker build -f Dockerfile.hermes -t hermes-memory .
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# 运行（后台常驻，Gateway 自动启动）
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docker run -d \
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--name hermes-memory \
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--restart unless-stopped \
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-p 8420:8420 \
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-e MODEL_API_KEY="your-api-key" \
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-e MODEL_BASE_URL="https://api.lkeap.cloud.tencent.com/v1" \
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-e MODEL_NAME="deepseek-v3.2" \
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-e MODEL_PROVIDER="custom" \
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-v hermes_data:/opt/data \
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hermes-memory
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# 验证 Gateway
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curl http://localhost:8420/health
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# 进入 Hermes 对话
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docker exec -it hermes-memory hermes
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```
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> 镜像内置了腾讯云 DeepSeek-V3.2 的默认值，如果你使用该模型，`MODEL_BASE_URL`/`MODEL_NAME`/`MODEL_PROVIDER` 可以省略，只传 `MODEL_API_KEY` 即可。
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## 工作原理
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容器启动时（`CMD`）自动执行以下步骤：
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1. 将 `MODEL_*` 环境变量同步到 Gateway（`export TDAI_LLM_*`）
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2. 生成 `/opt/data/config.yaml`（Hermes 配置，含模型参数和 `memory.provider: memory_tencentdb`）
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3. 生成 `/opt/data/.env`（写入 `OPENAI_API_KEY`，供 Hermes 读取）
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4. 前台启动 TDAI Memory Gateway（Node.js，监听 :8420，保持容器常驻）
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通过 `docker exec -it hermes-memory hermes` 进入对话时，Hermes 从 `$HERMES_HOME`（`/opt/data`）读取上述配置文件，自动连接已运行的 Gateway。memory_tencentdb 插件通过 HTTP 与本地 Gateway 通信，完成对话采集、记忆提取、场景构建和用户画像生成（L0→L1→L2→L3 四层 pipeline）。
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## 环境变量
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### 统一模型配置（Hermes + TDAI 共用）
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| 变量 | 默认值 | 说明 |
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|------|--------|------|
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| `MODEL_API_KEY` | - | LLM API Key（**必填，运行时通过 `-e` 传入**） |
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| `MODEL_BASE_URL` | `https://api.lkeap.cloud.tencent.com/v1` | LLM API 地址 |
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| `MODEL_NAME` | `deepseek-v3.2` | 模型名称 |
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| `MODEL_PROVIDER` | `custom` | 模型 provider: custom/openrouter/anthropic/openai/gemini |
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用户只需配置上述 `MODEL_*` 变量，容器启动时自动同步到 Hermes（`config.yaml` + `.env`）和 Gateway（`TDAI_LLM_*` 环境变量）。
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### 服务配置
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| 变量 | 默认值 | 说明 |
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|------|--------|------|
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| `TDAI_GATEWAY_PORT` | `8420` | Gateway 端口 |
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| `TDAI_GATEWAY_HOST` | `0.0.0.0` | Gateway 绑定地址 |
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| `TDAI_DATA_DIR` | `/opt/data/tdai-memory` | 记忆数据目录 |
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| `HERMES_HOME` | `/opt/data` | Hermes 数据目录 |
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## 数据持久化
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所有数据存储在 `/opt/data` volume 中：
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```
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/opt/data/
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├── tdai-memory/ # TDAI 记忆数据 (SQLite + 场景文件)
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│ ├── memories.sqlite # L0/L1 数据
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│ ├── scene_blocks/ # L2 场景文件
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│ ├── persona.md # L3 用户画像
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│ └── checkpoint.json # Pipeline 状态
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├── sessions/ # Hermes 会话记录
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├── skills/ # Hermes 技能
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├── config.yaml # Hermes 配置（启动时自动生成）
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├── .env # 环境变量（启动时自动生成）
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└── gateway.log # Gateway 日志
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```
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## 故障排查
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```bash
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# 查看 Gateway 日志
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docker exec hermes-memory cat /opt/data/tdai-memory/gateway.log
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# 查看 Gateway 健康状态
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docker exec hermes-memory curl -s http://localhost:8420/health | python3 -m json.tool
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# 手动测试记忆召回
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docker exec hermes-memory curl -s -X POST http://localhost:8420/recall \
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-H "Content-Type: application/json" \
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-d '{"query":"test","session_key":"debug"}'
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# 查看生成的 Hermes 配置
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docker exec hermes-memory cat /opt/data/config.yaml
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# 查看环境变量同步结果
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docker exec hermes-memory env | grep -E '(MODEL_|TDAI_LLM_)'
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# 进入容器调试
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docker exec -it hermes-memory bash
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```
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## 构建说明
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Dockerfile 不依赖本地源码 COPY，也不依赖 root 用户：
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- **TDAI Memory Gateway**：通过 `npm install @tencentdb-agent-memory/memory-tencentdb@latest` 从 npm registry 获取
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- **Hermes Agent**：通过官方安装脚本从 GitHub 获取，安装到 `/usr/local/lib/hermes-agent/`
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- **memory_tencentdb 插件**：npm 包内已包含 `hermes-plugin/` 目录，构建时自动 symlink 到 Hermes 内置插件路径（`/usr/local/lib/hermes-agent/plugins/memory/`）
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容器内所有运行时路径均为绝对路径，不依赖 `$HOME` 或特定用户，可以非 root 用户运行。
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Reference in New Issue
Block a user