by manor-os · MCP Server · ★ 153
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Source-available, self-hosted AI agent workspace for small businesses and lean teams — with BYOK, workflows, tools, and human approvals.
| Stars | 153 |
| Forks | 52 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 55.6598359308749/100 |
| Open Issues | 4 |
| Last Updated | 2026-09-07 |
| Created | 2026-07-12 |
| Platforms | mcp, python |
| Est. Tokens | ~13k |
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manor-ai is Source-available, self-hosted AI agent workspace for small businesses and lean teams — with BYOK, workflows, tools, and human approvals.. It is categorized as a MCP Server with 153 GitHub stars.
manor-ai is primarily written in Python. It covers topics such as agentic-ai, ai, ai-agents.
You can find installation instructions and usage details in the manor-ai GitHub repository at github.com/manor-os/manor-ai. The project has 153 stars and 52 forks, indicating an active community.
The top alternatives to manor-ai on Agent Skills Hub include concierge, orchestkit, weam. 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.
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