mirror of
https://github.com/TencentCloud/TencentDB-Agent-Memory
synced 2026-07-10 12:34:27 +00:00
[good first issue] docs(hermes): document plugging memory-tencentdb into an existing Hermes (#139)
* docs(hermes): document plugging memory-tencentdb into an existing Hermes
The Hermes section in README.md / README_CN.md only documented the
all-in-one Docker image, which is the wrong starting point when the
user already has hermes-agent installed. They don't want to throw
away their setup just to get memory; they want to drop the provider
in next to the other built-in providers.
The full reference already exists at
`hermes-plugin/memory/memory_tencentdb/README.md` (auto-discovery
paths, env vars, supervisor behaviour, troubleshooting). What's
missing is the discoverable entry point at the top-level README.
Restructure section 2 into two parallel paths:
- 2.A Docker — the existing one-command flow, unchanged.
- 2.B Plug into an existing Hermes (no Docker) — new. Covers:
- installing the npm package so the Gateway source is on disk
- symlink vs copy of the Python provider into
`<hermes-agent-checkout>/plugins/memory/memory_tencentdb/`
(with the "underscore not hyphen" trap called out)
- the `memory.provider: memory_tencentdb` line in `~/.hermes/config.yaml`
- the three `MEMORY_TENCENTDB_LLM_*` env vars
- the three Gateway-start options (auto-discovery / explicit
GATEWAY_CMD / run-yourself), with auto-discovery as default
- a `curl /health` verification step
- a link to the in-repo provider README for the full reference
Docs-only — no code change. Existing Docker users see no difference.
Fixes #69
Signed-off-by: 李冠辰 <liguanchen@xiaomi.com>
* docs(hermes): document tdai gateway config file
* update README_CN.md file
* Fix formatting in README_CN.md for clarity
* Clarify Hermes plugin installation instructions
Updated the README to clarify installation instructions for the Hermes plugin, including Docker usage and configuration steps.
---------
Signed-off-by: 李冠辰 <liguanchen@xiaomi.com>
Co-authored-by: 十五便士 <95488710+Maxwell-Code07@users.noreply.github.com>
This commit is contained in:
@@ -193,9 +193,18 @@ bash scripts/openclaw-after-tool-call-messages.patch.sh
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> 💡 The patch only needs to be applied once per OpenClaw installation. After upgrading OpenClaw, re-run the script to re-apply.
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> 💡 The patch only needs to be applied once per OpenClaw installation. After upgrading OpenClaw, re-run the script to re-apply.
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### 2. Hermes (Docker, requires version ≥ 0.3.4)
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### 2. Hermes
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In addition to OpenClaw, this plugin also supports [Hermes](https://github.com/NousResearch/hermes-agent) Agent. You can launch a memory-enabled Hermes with a single command:
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In addition to OpenClaw, this plugin also supports [Hermes](https://github.com/NousResearch/hermes-agent) Agent. Choose the installation path based on your deployment scenario:
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| You want to … | Use |
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| Spin up a memory-enabled Hermes from scratch in one command | 2.A Docker (below) |
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| Add memory to an existing Hermes install | 2.B Plug into an existing Hermes (next section) |
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#### 2.A Docker (greenfield, requires version ≥ 0.3.4)
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The Docker image bundles `hermes-agent` and the `memory_tencentdb` provider together. The Gateway listens on `:8420`:
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```bash
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```bash
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# ============ Configuration Parameters ============
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# ============ Configuration Parameters ============
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@@ -244,6 +253,97 @@ docker exec -it hermes-memory hermes
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> The image ships with Tencent Cloud DeepSeek-V3.2 as the default. If you use this model, omit `MODEL_BASE_URL` / `MODEL_NAME` / `MODEL_PROVIDER` and pass only `MODEL_API_KEY`.
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> The image ships with Tencent Cloud DeepSeek-V3.2 as the default. If you use this model, omit `MODEL_BASE_URL` / `MODEL_NAME` / `MODEL_PROVIDER` and pass only `MODEL_API_KEY`.
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#### 2.B Attach to Existing Hermes (No Docker)
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If you already have `hermes-agent` installed on your host and just want to add memory capabilities, **no Docker image is needed**.
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**1. Download the plugin package to a unified directory**:
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```bash
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mkdir -p ~/.memory-tencentdb
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TEMP_DIR=$(mktemp -d)
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cd "$TEMP_DIR"
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npm init -y --silent
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npm install @tencentdb-agent-memory/memory-tencentdb@latest --omit=dev
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cp -r node_modules/@tencentdb-agent-memory/memory-tencentdb \
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~/.memory-tencentdb/tdai-memory-openclaw-plugin
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rm -rf "$TEMP_DIR"
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```
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**2. Install Gateway dependencies**:
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```bash
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cd ~/.memory-tencentdb/tdai-memory-openclaw-plugin
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npm install --omit=dev
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npm install tsx
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```
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**3. Link to the Hermes plugin directory**:
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```bash
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rm -rf ~/.hermes/hermes-agent/plugins/memory/memory_tencentdb
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ln -sf ~/.memory-tencentdb/tdai-memory-openclaw-plugin/hermes-plugin/memory/memory_tencentdb \
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~/.hermes/hermes-agent/plugins/memory/memory_tencentdb
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```
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> The directory **must** be named `memory_tencentdb` (with an underscore) — Hermes uses this as the provider key. `memory-tencentdb` (with a hyphen) is only an alias at the config level and **cannot** be used as the directory name.
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**4. Declare the provider in `~/.hermes/config.yaml`**:
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```yaml
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memory:
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provider: memory_tencentdb
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```
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**5. Configure Gateway environment variables**
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Edit `~/.hermes/.env` and add:
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```bash
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MEMORY_TENCENTDB_GATEWAY_CMD="sh -c 'cd ~/.memory-tencentdb/tdai-memory-openclaw-plugin && exec npx tsx src/gateway/server.ts'"
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MEMORY_TENCENTDB_GATEWAY_HOST="127.0.0.1"
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MEMORY_TENCENTDB_GATEWAY_PORT="8420"
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```
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Add LLM credentials as needed (the Gateway actually reads the `TDAI_LLM_*` variables):
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```bash
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TDAI_LLM_API_KEY="sk-your-api-key-here"
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TDAI_LLM_BASE_URL="https://api.openai.com/v1"
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TDAI_LLM_MODEL="gpt-4o"
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```
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Alternatively, use a Gateway config file at `~/.memory-tencentdb/memory-tdai/tdai-gateway.json`:
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```json
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{
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"llm": {
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"baseUrl": "https://your-api-endpoint/v1",
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"apiKey": "your-api-key",
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"model": "your-model-name"
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}
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}
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```
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**6. Start the Gateway** (choose one of two methods):
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- **Auto-discovery on conversation (recommended, zero-config)**: Don't start the Gateway manually — just start talking to Hermes. The provider will auto-detect `~/.memory-tencentdb/tdai-memory-openclaw-plugin/src/gateway/server.ts` and launch it via `Popen()` on the first conversation. The initial conversation may have a slight delay.
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- **Manual run**: Start a standalone Gateway process in advance:
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```bash
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cd ~/.memory-tencentdb/tdai-memory-openclaw-plugin
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npx tsx src/gateway/server.ts
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```
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**7. Verify**:
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```bash
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curl http://127.0.0.1:8420/health
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# Should return {"status":"ok"} or {"status":"degraded"}
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```
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> For the complete provider reference (environment variables, troubleshooting, LLM tool schemas, supervisor behavior), see [`hermes-plugin/memory/memory_tencentdb/README.md`](./hermes-plugin/memory/memory_tencentdb/README.md). Please read it before adjusting the supervisor / circuit-breaker defaults.
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---
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---
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+101
-2
@@ -198,9 +198,18 @@ bash scripts/openclaw-after-tool-call-messages.patch.sh
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> 💡 patch 每次 OpenClaw 安装只需执行一次。升级 OpenClaw 后建议重新执行以确保钩子生效。
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> 💡 patch 每次 OpenClaw 安装只需执行一次。升级 OpenClaw 后建议重新执行以确保钩子生效。
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### 2. Hermes(Docker,需版本号 ≥ 0.3.4)
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### 2. Hermes
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除 OpenClaw 外,本插件同样支持 [Hermes](https://github.com/NousResearch/hermes-agent) Agent。通过一条命令即可启动一个带记忆能力的 Hermes:
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除 OpenClaw 外,本插件同样支持 [Hermes](https://github.com/NousResearch/hermes-agent) Agent。根据部署场景选择安装路径:
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| 你的场景 | 走哪条路 |
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|---|---|
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| 想从零启动一个带记忆能力的 Hermes(一条命令搞定) | 2.A Docker(下文) |
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| 已经装好了Hermes,只想加上记忆能力 | 2.B 挂到已有 Hermes 上(再下文) |
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#### 2.A Docker(全新部署,需版本号 ≥ 0.3.4)
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Docker 镜像把 `hermes-agent` 和 `memory_tencentdb` provider 聚合在一起,Gateway 监听 `:8420`:
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```bash
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```bash
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# ============ 配置参数说明 ============
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# ============ 配置参数说明 ============
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@@ -249,6 +258,96 @@ docker exec -it hermes-memory hermes
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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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> 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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#### 2.B 挂到已有 Hermes 上(无 Docker)
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如果宿主机上已经装好了 `hermes-agent`,只想加上记忆能力,**不需要** Docker 镜像。
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**1. 下载插件包到统一目录**:
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```bash
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mkdir -p ~/.memory-tencentdb
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TEMP_DIR=$(mktemp -d)
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cd "$TEMP_DIR"
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npm init -y --silent
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npm install @tencentdb-agent-memory/memory-tencentdb@latest --omit=dev
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cp -r node_modules/@tencentdb-agent-memory/memory-tencentdb \
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~/.memory-tencentdb/tdai-memory-openclaw-plugin
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rm -rf "$TEMP_DIR"
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```
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**2. 安装 Gateway 依赖**:
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```bash
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cd ~/.memory-tencentdb/tdai-memory-openclaw-plugin
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npm install --omit=dev
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npm install tsx
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```
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**3. 链接到 Hermes 插件目录**:
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```bash
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rm -rf ~/.hermes/hermes-agent/plugins/memory/memory_tencentdb
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ln -sf ~/.memory-tencentdb/tdai-memory-openclaw-plugin/hermes-plugin/memory/memory_tencentdb \
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~/.hermes/hermes-agent/plugins/memory/memory_tencentdb
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```
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> 此处目录名必须是 **`memory_tencentdb`**(下划线)—— Hermes 用它作为 provider key。`memory-tencentdb`(连字符)只是配置层面的别名,**不**能作为目录名。
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**4. 在 `~/.hermes/config.yaml` 中声明 provider**:
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```yaml
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memory:
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provider: memory_tencentdb
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```
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**5. 配置 Gateway 环境变量**
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编辑 `~/.hermes/.env`,添加:
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```bash
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MEMORY_TENCENTDB_GATEWAY_CMD="sh -c 'cd ~/.memory-tencentdb/tdai-memory-openclaw-plugin && exec npx tsx src/gateway/server.ts'"
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MEMORY_TENCENTDB_GATEWAY_HOST="127.0.0.1"
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MEMORY_TENCENTDB_GATEWAY_PORT="8420"
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```
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LLM 凭证请按需添加(Gateway 实际读取的是 `TDAI_LLM_*` 系列变量):
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```bash
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TDAI_LLM_API_KEY="sk-your-api-key-here"
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TDAI_LLM_BASE_URL="https://api.openai.com/v1"
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TDAI_LLM_MODEL="gpt-4o"
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```
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也可改用 Gateway 配置文件 `~/.memory-tencentdb/memory-tdai/tdai-gateway.json`:
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```json
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{
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"llm": {
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"baseUrl": "https://your-api-endpoint/v1",
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"apiKey": "your-api-key",
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"model": "your-model-name"
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}
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}
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```
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**6. 启动 Gateway**(两种方式任选其一):
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- **对话时自动发现(推荐,零配置)**:不启动 Gateway,直接开始和 Hermes 对话。provider 会在第一条对话时自动检测到 `~/.memory-tencentdb/tdai-memory-openclaw-plugin/src/gateway/server.ts` 并以 `Popen()` 拉起。首次对话会略有延迟。
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- **手动运行**:提前启动一个独立的 Gateway 进程:
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```bash
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cd ~/.memory-tencentdb/tdai-memory-openclaw-plugin
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npx tsx src/gateway/server.ts
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```
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**7. 验证**:
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```bash
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curl http://127.0.0.1:8420/health
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# 应返回 {"status":"ok"} 或 {"status":"degraded"}
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```
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> Provider 的完整参考(环境变量、故障排查、LLM 工具 schema、supervisor 行为)见 [`hermes-plugin/memory/memory_tencentdb/README.md`](./hermes-plugin/memory/memory_tencentdb/README.md),调整 supervisor / circuit-breaker 默认值之前请先读它。
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---
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---
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Reference in New Issue
Block a user