manor-ai: Source-available, self-hosted AI agent workspace for small businesses and lean teams

by manor-os · MCP Server · ★ 158

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

How to install manor-ai

git clone https://github.com/manor-os/manor-ai.git && cd manor-ai

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 66/100

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.

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.

agentic-aiaiai-agentsai-workflowsai-workspacesbusiness-automationclawdbotfastapihuman-in-the-loopmcp

Quick Facts

Stars158
Forks49
LanguagePython
CategoryMCP Server
Quality Score66/100
Open Issues4
Last Updated2026-10-31
Created2026-07-12
Platformsmcp, python
Est. Tokens~16k

About manor-ai

Manor AI English | 简体中文 Self-hosted AI workspace for governed agents, tasks, tools, and knowledge. Run agents against team knowledge and scoped tools, require human approval before sensitive actions, and keep operational data inside infrastructure you control.

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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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