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ci: use trusted publishing for TypeScript package (#486)
* ci: use trusted publishing for TypeScript package * docs: scope npm announcement to DeepSeek Harness
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.github/workflows/release-typescript.yml
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.github/workflows/release-typescript.yml
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# Release checklist:
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# 1. Update packages/typescript/package.json and package-lock.json to the release version and merge them.
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# 2. Configure the NPM_TOKEN repository secret with publish access to the @agentscope-ai scope.
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# 2. Configure npm Trusted Publishing for agentscope-ai/ReMe and this workflow file.
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# 3. Run this workflow manually with the exact package version (an optional v prefix is accepted).
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# 4. Use the `next` tag for prereleases and `latest` only for stable releases.
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@ -128,6 +128,5 @@ jobs:
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- name: Publish to npm
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env:
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NODE_AUTH_TOKEN: ${{ secrets.NPM_TOKEN }}
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NPM_TAG: ${{ inputs.npm_tag }}
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run: npm publish dist/typescript/*.tgz --access public --tag "${NPM_TAG}" --provenance
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README.md
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README.md
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@ -61,6 +61,8 @@ keeping the files under the user's control.
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## 📰 News
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- [2026.08] - Published [`@agentscope-ai/reme`](https://www.npmjs.com/package/@agentscope-ai/reme), providing a native
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ReMe memory integration for DeepSeek Harness.
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- [2026.08] - Published the [ReMe blog](https://agentscope-ai.github.io/ReMe/?doc=en-reme-blog), an end-to-end introduction to its local-first memory
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architecture, self-evolving workflows, hybrid search, proactive discovery, and benchmark results.
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- [2026.08] - [Experience-driven enhancement method](https://reme.agentscope.io/?doc=toolmemory-en) of agent tool-use execution built
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The static build requires Node.js 22.13 or newer and makes Studio available from the source tree.
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### DeepSeek Harness Integration
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With the ReMe service running, install the npm package into the DeepSeek Harness Web profile:
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```bash
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dsh plugin --profile web add @agentscope-ai/reme
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```
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The plugin recalls relevant ReMe memory before agent steps and submits completed main-agent turns for automatic memory
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capture. See the [TypeScript integration guide](packages/typescript/README.md#deepseek-harness) for configuration.
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### Environment Variables
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Configure environment variables when you want LLM-powered memory evolution or embedding retrieval. Embeddings are
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README_ZH.md
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README_ZH.md
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@ -53,6 +53,8 @@ Code 等 Agent 协作,在持续整理知识的同时,始终把文件控制
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## 📰 新闻
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- [2026.08] - 发布 [`@agentscope-ai/reme`](https://www.npmjs.com/package/@agentscope-ai/reme),为 DeepSeek Harness
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提供原生 ReMe 记忆集成。
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- [2026.08] - 发布 [ReMe 博客](https://agentscope-ai.github.io/ReMe/?doc=zh-reme-blog),系统介绍本地优先的记忆架构、自进化工作流、混合检索、
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主动发现与评测结果。
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- [2026.08] - 基于 ReMe 的智能体工具使用
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@ -91,6 +93,17 @@ cd ..
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静态构建要求 Node.js 22.13 或更高版本,并让源码安装可以直接使用 Studio。
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### DeepSeek Harness 集成
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启动 ReMe 服务后,将 npm 包安装到 DeepSeek Harness 的 Web profile:
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```bash
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dsh plugin --profile web add @agentscope-ai/reme
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```
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插件会在 Agent step 前检索相关 ReMe 记忆,并将主 Agent 已完成的对话提交给自动记忆任务。配置方法见
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[TypeScript 集成指南](packages/typescript/README_ZH.md#deepseek-harness)。
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### 环境变量
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如果需要 LLM 驱动的记忆演化或 embedding 检索,可以配置环境变量。embedding 默认关闭,因此默认配置不会启动 embedding 模型,也不需要
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