hope-agent: A cross-device desktop AI agent with memory, autonomous goals, dynamic workflows, and headless deployment

by shiwenwen · MCP Server · ★ 1.9k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install hope-agent

brew install --cask hope-agent
git clone https://github.com/shiwenwen/hope-agent.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 62/100

Flagged: sudo usage. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agentaiai-assistantanthropicchatbotclaudeclawcodexcross-devicedesktop-app

Quick Facts

Stars1,857
Forks168
LanguageRust
CategoryMCP Server
LicenseMIT
Quality Score62/100
Open Issues71
Last Updated2026-11-07
Created2026-03-13
Platformsclaude-code, codex, gemini, mcp, rust
Est. Tokens~26k

About hope-agent

Hope Agent 跨端交接、越用越懂你的桌面 AI 助手，也能服务化常驻、跑在云上 会记忆 · 能成长 · 深度融合 · 在你所有的聊天里随叫随到 <img src="https://img.shields.io/badge/Web%20GUI-browser-4F46E5?style=flat-square&log

Compatible Skills

These tools work well together with hope-agent for enhanced workflows:

  • clawshell — semantic(0.21)+complementary+rare_topics+same_lang+similar_pop+shared_platform (61%)
  • hermes-rs — semantic(0.26)+complementary+rare_topics+same_lang+similar_pop+shared_platform (59%)
  • frona — semantic(0.18)+complementary+rare_topics+same_lang+similar_pop+shared_platform (56%)
  • VibeAround — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (56%)
  • starpod — semantic(0.16)+complementary+rare_topics+same_lang+similar_pop+shared_platform (55%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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