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🦭 会记忆、能持续推进目标、会动态编排多 Agent 的跨端桌面 AI 助手,也可服务化常驻 NAS / 云端 | A cross-device desktop AI agent with memory, autonomous goals, dynamic workflows, and headless deployment

Subagents1.3k estrellas108 forksRustMITActualizado today
ClaudeWave Trust Score
97/100
Verified
Passed
  • Open-source license (MIT)
  • Actively maintained (<30d)
  • Healthy fork ratio
  • Clear description
  • Topics declared
Last scanned: 6/11/2026
Install as a Claude Code subagent
Method: Clone
Terminal
git clone https://github.com/shiwenwen/hope-agent && cp hope-agent/*.md ~/.claude/agents/
1. Clone the repository and copy the agent .md definitions into ~/.claude/agents (or .claude/agents inside a project).
2. Start a new Claude Code session to load the agents.
3. Delegate work to them with the Task/Agent tool or by name.

23 items en este repositorio

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Use when the user asks to draft, polish, translate, or reply to an email. Produces a clean draft with subject line, greeting, body, and sign-off, plus a pre-send self-check.

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feishuSkill

Use when the user mentions 飞书 / Feishu / Lark workspace operations: docx (云文档) read/write, bitable (多维表格) records / views / dashboards, drive (云盘) upload/download, wiki (知识库) link resolution, approval (审批) instance create/cancel/query, calendar (日历) event create/list/update + attendees, contact (联系人) user/department lookup, hire (招聘) job/talent/application listing. Trigger on phrases like 'OKR 周报', '把这份文档发到飞书云盘', '给团队拉个评审会议', '查 [姓名] 的联系方式', '撤销那条审批', '/wiki 链接', or any request that mentions a feishu / lark URL / token (doxcn.../bascn.../wikcn.../boxcn.../om_...).

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Hope Agent browser automation — the standard `status → tabs → snapshot → act` loop, stale-ref recovery rules, and what to do when login / 2FA / captcha / camera-prompt / dialog blocks progress. Load this skill whenever you reach for the `browser` tool. Trigger on: user asks the agent to open / control / click / scrape / log into / verify something in a web app ('open X and click Y', '打开 X 然后点击 Y', 'log into my Gmail', 'scrape this page', 'fill out the form on X'); user reports a flow that requires real browser context (cookies, JS-rendered content, OAuth).

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Discover and install third-party skills from external registries when the user needs a capability that no currently-active skill covers. Trigger when: (1) the user explicitly asks 'find a skill for X', 'is there a skill that does X', 'install a skill to X', (2) the user requests a well-known integration (Slack, Notion, Trello, GitHub, Hue, Sonos, iMessage, weather, TTS, transcription …) that isn't in the active skill catalog, (3) you are about to hand-write ad-hoc shell / API code for a domain that almost certainly has a published skill. Do NOT trigger if an active skill already covers the need — scan the visible skill catalog first.

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ha-logsSkill

Self-service diagnostics — query Hope Agent's local SQLite databases (logs / sessions / background jobs) directly via the `exec` tool to investigate problems, analyze usage, and locate root causes. Trigger on: user reports something broken / failing / slow / stuck / not responding ('X 不工作', 'X 报错', 'X 卡住', '为什么 X 失败', 'why did X fail', 'show me the logs', 'check what happened'); ad-hoc data analysis ('this week's token usage', '最近调用最多的工具', 'how many subagent runs failed', 'tool error rate', 'find sessions where X happened'); verifying a fix ('did the error stop after I changed Y'). Use BEFORE asking the user to paste log snippets — the data is on disk, query it directly. Read-only — SELECT only, never UPDATE/DELETE/INSERT/DROP.

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Hope Agent native macOS desktop control — the standard `mac_control` status / diagnostics / apps / dock / spaces / snapshot / visual / windows / menu / clipboard / dialog loop, target-first action rules, no-blind-coordinate policy, and recovery for stale AX/window/menu/dialog state. Load whenever using `mac_control`, or when the user asks to control local Mac apps, Dock, Spaces, click/type/menu/window/dialog/clipboard, automate Finder/TextEdit/System Settings, visually locate UI, or says 控制 Mac, macOS 自动化, 点按钮, 打开应用, Dock, Space, 关闭窗口, 菜单点击, 视觉定位.

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Self-understanding and issue reporting for Hope Agent itself. Use when the user asks how Hope Agent works internally, asks about its own source code/docs/runtime behavior, reports a bug/failure/slowness/crash, asks to diagnose logs, or asks to create/submit a GitHub issue for a bug, feature request, or improvement (including when there is no bug). Chinese triggers: 自查, 了解自己, 自我诊断, 排查 Hope Agent, 提交 issue, 需求 issue, 功能改进.

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Check for and install Hope Agent updates through conversation. Use whenever the user asks about upgrades, new versions, release notes, or reports a bug that might already be fixed upstream — phrases like 'upgrade Hope Agent', 'update hope agent', 'check for new version', '升级一下', '有新版本吗', '帮我升级', 'is there a newer build', 'check release notes', 'install the latest'. Also use proactively when an `app_update(action=\"check\")` result shows `has_update: true` and the user hasn't been told yet. Covers all three formfactors: desktop GUI bundle (DMG/MSI/AppImage), `hope-agent server` daemon installed via Homebrew/Scoop/AUR/apt/dnf, and headless single-binary deployments. The upgrade is always user-confirmed via `ask_user_question` — never silent.

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Manage Hope Agent application settings through conversation. Use when the user wants to view or change any app configuration: theme, language, proxy, temperature, notifications, tool timeout, context compaction, automatic session titles, web search, GitHub issue reporting, memory, embedding, multimodal embedding, dreaming (offline memory consolidation), recap, behavior awareness, smart-mode approvals, plan mode, ask-user-question timeout, tool-result disk spill threshold, embedded server, ACP control plane, MCP subsystem (kill switch / concurrency / backoff), per-skill env vars, or any other setting visible in the Settings UI. Trigger phrases: 'change settings', 'configure proxy', 'set theme to dark', 'turn off notifications', 'adjust temperature', 'show my settings', 'bind the server to all interfaces', 'enable smart mode', 'tune dreaming', 'disable mcp', 'show my channels'. Trigger even when the user doesn't explicitly say 'settings' — any intent to adjust app behavior qualifies.

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Create, edit, improve, or audit Hope Agent skills. Use when the user wants to: (1) create a new skill from scratch, (2) edit or improve an existing skill, (3) review or clean up a SKILL.md file, (4) run evaluations to test skill effectiveness, (5) optimize skill descriptions for better trigger accuracy. Trigger phrases: 'create a skill', 'make a skill', 'improve this skill', 'review skill', 'audit skill'.

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Use when the user asks to capture, structure, or summarize meeting notes / call notes / 1:1 discussion / standup notes. Produces a standard template with attendees, agenda, decisions, action items (owner + deadline), and open questions.

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Use when the user asks for a flowchart, architecture diagram, sequence diagram, ER diagram, state machine, gantt chart, or any visual that fits Mermaid syntax. Hope Agent's chat renders Mermaid blocks natively, so the diagram appears inline.

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Use when the user asks to create, edit, inspect, polish, verify, or deliver Word `.docx` documents, Google Docs-targeted drafts, business briefs, forms, reports, tables, checklists, redraft-ready document sections, or PDF/Word source-to-DOCX transformations.

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Use when the user asks to create, inspect, verify, polish, or deliver PowerPoint `.pptx` decks, Google Slides-targeted deck artifacts, strategy narratives, operating reviews, pitch decks, teaching decks, section slides, bullet slides, or source-to-PPTX transformations.

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Use when the user asks to create, inspect, verify, analyze, format, or deliver Excel `.xlsx` workbooks, Google Sheets-targeted spreadsheet artifacts, trackers, budgets, models, tables, dashboards, formulas, CSV/TSV-to-XLSX conversions, or spreadsheet-ready data packs.

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Use when the user asks for a weekly / monthly status report, project update, individual or team progress summary. Produces a tight, scannable update with what shipped, what's in flight, what's blocked, and metrics.

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Use when executing implementation plans with independent tasks. Dispatches fresh subagent per task with two-stage review (spec compliance then code quality).

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Use when encountering any bug, test failure, or unexpected behavior. 4-phase root cause investigation — NO fixes without understanding the problem first.

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Use when implementing any feature or bugfix, before writing implementation code. Enforces RED-GREEN-REFACTOR cycle with test-first approach.

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Use when you have a spec or requirements for a multi-step task. Creates comprehensive implementation plans with bite-sized tasks, exact file paths, and complete code examples.

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Working method for the Hope Agent knowledge space — how to capture, organize, link, retrieve, and maintain Markdown notes well with the `note_*` tools. Load whenever you are reading or writing notes in an attached knowledge base. Trigger on: user asks to take / save / organize / restructure notes, build or grow a knowledge base / vault / second brain, link related notes, find related or similar notes, distill a long note into atomic notes, build a map-of-content (MOC) / index, clean up broken links or orphans, or turn a conversation into a note. Chinese triggers: 记笔记, 整理笔记, 知识库, 知识空间, 笔记网络, 关联笔记, 拆成原子笔记, 建索引/MOC, 清理断链, 把对话存成笔记.

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Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger phrases: data stores, database path, sessions.db, memory.db, logs.db, background_jobs.db, knowledge index, where is data stored, query app data, 查数据库, 数据存储, 会话记录在哪, 记忆库在哪.

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Casos de uso

Resumen de Subagents

README no disponible. Visita el repo en GitHub para la documentación completa.
agentaiai-assistantanthropicchatbotclaudeclawcodexcross-devicedesktop-appgeminihandoffharnesshermes-agentllmlocal-aimcpopenaiopenclawpersonal

Lo que la gente pregunta sobre hope-agent

¿Qué es shiwenwen/hope-agent?

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shiwenwen/hope-agent es subagents para el ecosistema de Claude AI. 🦭 会记忆、能持续推进目标、会动态编排多 Agent 的跨端桌面 AI 助手,也可服务化常驻 NAS / 云端 | A cross-device desktop AI agent with memory, autonomous goals, dynamic workflows, and headless deployment Tiene 1.3k estrellas en GitHub y se actualizó por última vez today.

¿Cómo se instala hope-agent?

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Puedes instalar hope-agent clonando el repositorio (https://github.com/shiwenwen/hope-agent) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.

¿Es seguro usar shiwenwen/hope-agent?

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Nuestro agente de seguridad ha analizado shiwenwen/hope-agent y le ha asignado un Trust Score de 97/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.

¿Quién mantiene shiwenwen/hope-agent?

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shiwenwen/hope-agent es mantenido por shiwenwen. La última actividad registrada en GitHub es de today, con 12 issues abiertos.

¿Hay alternativas a hope-agent?

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Sí. En ClaudeWave puedes explorar subagents similares en /categories/agents, ordenados por popularidad o actividad reciente.

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