project-golem: OS-level autonomous AI agent with long-term memory, multi-agent coordination, Titan Chronos scheduler

by Arvincreator · Codex Skill · ★ 639

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

Security audit verdict: SAFE · quality 61/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. 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.

ai-agentautonomous-agentschatbotdiscord-botgolemlong-term-memorymulti-agentnodejsopenclawtelegram-bot-ai-assistant

Quick Facts

Stars639
Forks106
LanguageJavaScript
CategoryCodex Skill
Quality Score61/100
Open Issues6
Last Updated2026-06-22
Created2026-01-30
Platformsnode
Est. Tokens~14k

About project-golem

Project Golem 你的 AI 操作中樞:可對話、可行動、可記憶、可長期協作。 English README · 貢獻指南 · 開發代理指南 Project Golem 是什麼 Project Golem 不是單純聊天機器人,而是一套可運行的 AI 工作系統。 它把「語言模型能力」和「實際操作能力」整合成同一個執行核心,讓你可以在一個 Dashboard 裡完成: 即時對話與任務協作 技能掛載與工具擴充(MCP / Skills) 長期記憶管理與檢索 多代理討論與共識彙整 RPG 劇情互動、股市看板、協作日曆、羈絆日記 系統安全、設定、更新與維運 你可以使用: (Browser-in-the-Loop,透過 Playwright) (本機/私有模型) (OpenAI-compatible local API) 為什麼它有價值 多數 AI...

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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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