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 smixs · Agent Tool · ★ 367
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agent-second-brain safe to install? View the security audit →
Agent Second Brain An always-on second brain you talk to. Voice note in Telegram → typed, linked knowledge in your Obsidian vault. Runs 24/7 on a $5 VPS and the Claude subscription you already pay for — zero per-token API bills. 🇷🇺 Русский • Полная инструкция • VPS guide • autograph engine [!IMPORTANT] Since June 15, 2026, headless runs bill against a separate paid Agent SDK credit. v3.0 sidesteps that completely: it drives one long-lived interactive Claude Code session — the same th
| Stars | 367 |
| Forks | 216 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 70.1603722009154/100 |
| Open Issues | 2 |
| Last Updated | 2026-08-05 |
| Created | 2025-12-26 |
| Platforms | claude-code, python |
| Est. Tokens | ~16k |
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agent-second-brain is An always-on second brain you talk to. Voice notes in Telegram → typed, linked knowledge in your Obsidian vault. Runs 24/7 on the Claude subscription you already have.. It is categorized as a Agent Tool with 367 GitHub stars.
agent-second-brain is primarily written in Python. It covers topics such as ai-agents, ai-automation, claude.
You can find installation instructions and usage details in the agent-second-brain GitHub repository at github.com/smixs/agent-second-brain. The project has 367 stars and 216 forks, indicating an active community.
agent-second-brain is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agent-second-brain on Agent Skills Hub include swarmvault, nocturne_memory, guaardvark. 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: