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 Tako-Research · Agent Tool · ★ 90
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is TakoVM safe to install? View the security audit →
File system and python execution for your agents. Job queues and Docker isolation built-in. Used by teams deploying in enterprise. English | 日本語 A secure file system for your agents to execute code. Every job runs in its own isolated Docker container, with an ephemeral workspace, optional gVisor sandboxing, job queues, retries, and execution history included. Where this is headed: durable, per-agent workspaces that persist and rehydrate across runs, a serverless filesystem for agents. Today each container is single-use; persistent workspaces are on the roadmap. gVisor remains the sole isolation boundary. Documentation · Quick Start ·
| Stars | 90 |
| Forks | 14 |
| Language | Python |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 52.1234245856215/100 |
| Open Issues | 6 |
| Last Updated | 2026-09-15 |
| Created | 2026-01-25 |
| Platforms | python |
| Est. Tokens | ~13k |
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TakoVM is A secure file system for your agents to execute code. It is categorized as a Agent Tool with 90 GitHub stars.
TakoVM is primarily written in Python. It covers topics such as agent-tools, agentic-ai, ai.
You can find installation instructions and usage details in the TakoVM GitHub repository at github.com/Tako-Research/TakoVM. The project has 90 stars and 14 forks, indicating an active community.
TakoVM is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to TakoVM on Agent Skills Hub include TakoVM, ai-agent-tools-catalog, zapcode. 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: