octomind: Open-source AI coding agent and agent runtime: one binary, any model, MCP-native

by Muvon · MCP Server · ★ 614

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

How to install octomind

cargo install octomind
git clone https://github.com/muvon/octomind.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 65/100

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.

agent-client-protocolagentic-aiaiai-agentsai-assistantai-coding-agentautonomous-agentsclaude-codeclaude-code-alternativecli

Quick Facts

Stars614
Forks74
LanguageRust
CategoryMCP Server
LicenseApache-2.0
Quality Score65/100
Open Issues22
Last Updated2026-11-06
Created2025-06-01
Platformsclaude-code, cli, mcp, rust
Est. Tokens~28k

About octomind

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 —...

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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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