agentscope-ai/ReMe

What agentscope-ai/ReMe is for

agentscope-ai/ReMe is an AI agent skill resource for AI & Machine Learning workflows. Based on the archived project material, its core value is: ReMe: Memory Management Kit for Agents - Remember Me, Refine Me — a GitHub Skill repository verified at commit f44f52d with 6 SKILL.md files for ai & machine learning workflows.. This detail page focuses on the practical questions to answer before adopting the skill: what task it solves, how setup works, which README notes matter, where the local Markdown copy is available, and whether the workflow can be adapted for Claude, Codex, Gemini, Kimi, GLM, ChatGPT, or an internal AI agent.

README summary

> This is an EasyGlobe-authored bilingual repository brief, not a redistributed third-party Skill and not an installable copy of the repository. Review the upstream repository before use.

README capability notes

| Path | Frontmatter name | Frontmatter description | SHA-256 |

| --- | --- | --- | --- |

| integrations/claude_code/reme/skills/reme-memory/SKILL.md | reme-memory | Use ReMe as file-native long-term memory in Claude Code. RECALL — search ReMe before answering questions about past conversations, preferences, project history, or decisions. | 737e596a66ec1d9cd70419345a7596b16c12b8a07c46765b04f535637c6a994d |

| skills/dingtalk-message/SKILL.md | dingtalk-message | 钉钉消息发送技能。支持企业内部机器人（批量单聊/群聊）和 Webhook 自定义机器人两种接入方式，支持多机器人管理，支持文本、Markdown、链接、ActionCard、FeedCard等多种消息类型。 | 4b9c165d2366fac9f46e9099915f69d5fe1cbfda5534fcdb5ab78bc9f0d98da1 |

| skills/qwenpaw_memory/SKILL.md | qwenpaw_memory | qwenpaw_memory | b6f39b03e9003e152af05462fcca94c02e43b3350bdcda643aee0169fccc395a |...

Workflow fit and practical value

The current taxonomy places agentscope-ai/ReMe under AI & Machine Learning, with tags such as AI & Machine Learning, agent, ai-agents, memory, memoryscope, GitHub Skills. That means the skill should be evaluated through the lens of repeatable work: what task it helps an AI agent perform, what context the agent needs, what output a user should expect, and whether the workflow can be reused as a team SOP. The archived README is used as the first source of truth whenever it includes feature lists, examples, setup notes, or usage guidance. The local Markdown download is useful for review, internal documentation, and adapting the instructions into your own agent skills repository.

Installation, usage, and platform notes

No explicit installation section was found in the archived README. Open the original source for the official setup path; the download button provides the local Markdown copy saved by EasyGlobe. Use this skill when the task involves AI & Machine Learning, agent, ai-agents, memory, memoryscope, GitHub Skills. It can be adapted into Claude Skills, Codex Skills, Gemini Skills, Kimi Skills, GLM Skills, or a team SOP. If the README does not include a complete command-by-command setup path, the Skill URL remains the official source for the latest installation instructions. Platform support should be confirmed from the original project, but the information on this page is organized so it can be reused as a reference for Claude, Codex, Gemini, Kimi, GLM, ChatGPT, or internal AI agent workflows.

No standalone configuration section was detected in the archive. If the source project requires API keys, account auth, CLI setup, or plugin config, follow the Skill URL.