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 Muvon · MCP Server · ★ 139
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is octomind safe to install? View the security audit →
Install agents, not frameworks. Open-source runtime for specialist AI agents. One command. Any model. Any domain. Documentation · Tap Registry · Website Table of Contents The Problem Five Pillars Pillar 1 — Zero Config, Full Flexibility Pillar 2 — Sessions That Stay Sharp at Hour 4 Pillar 3 — Cost as a Control Plane Pillar 4 — Guardrails: Policy as Code, Not Approval Clicks [Pillar 5 — Intent-Driven Context: Skills Activate
| Stars | 139 |
| Forks | 12 |
| Language | Rust |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 65.3114448920532/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-19 |
| Created | 2025-06-01 |
| Platforms | claude-code, cli, mcp, rust |
| Est. Tokens | ~28k |
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octomind is Open-source AI coding agent and agent runtime: one binary, any model, MCP-native. Runs in terminal, CI, or as a daemon.. It is categorized as a MCP Server with 139 GitHub stars.
octomind is primarily written in Rust. It covers topics such as agentic-ai, ai, ai-agents.
You can find installation instructions and usage details in the octomind GitHub repository at github.com/Muvon/octomind. The project has 139 stars and 12 forks, indicating an active community.
octomind is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to octomind on Agent Skills Hub include daymon, rust-docs-mcp-server, ggsrun. 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: