No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by MagicCube · Codex Skill · ★ 496
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agentara safe to install? View the security audit →
📯 Agentara Meet Tara, your 24/7 personal assistant powered by Claude Code and OpenAI Codex. Multi-channel messaging, long-term memory, skills, task scheduling, session management, and more — all running locally. Features Agent-powered sessions — Interact with Claude Code and OpenAI Codex through managed sessions with full streaming support Multi-channel messaging — Receive and respond to messages from multiple channels (e.g. Feishu/Lark) Message streaming — Streaming response for IM channel (
| Stars | 496 |
| Forks | 59 |
| Language | TypeScript |
| Category | Codex Skill |
| Quality Score | 66.4993228056771/100 |
| Open Issues | 4 |
| Last Updated | 2026-05-11 |
| Created | 2026-03-05 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~222k |
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agentara is Your 24/7 personal assistant powered by Claude Code and OpenAI Codex. Multi-channel messaging, long-term memory, skills, task scheduling, session management, and more — all running locally.. It is categorized as a Codex Skill with 496 GitHub stars.
agentara is primarily written in TypeScript.
You can find installation instructions and usage details in the agentara GitHub repository at github.com/MagicCube/agentara. The project has 496 stars and 59 forks, indicating an active community.
The top alternatives to agentara on Agent Skills Hub include agent-skill-creator, learning-opportunities, pi-skills. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: