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 inkeep · MCP Server · ★ 1.4k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agents safe to install? View the security audit →
Inkeep Agents Build AI Agents with a No-Code Visual Builder or TypeScript SDK. Agents can be edited in either with full 2-way sync, so technical and non-technical teams can create and manage Agents in one platform. Get started with the docs or 1-minute quick start. Two ways to build No-Code Visual Builder A drag-and-drop canvas so any team can create and own the Agents they care about. TypeScript Agents SDK A code-first framework so engineering teams can build with typesafety, intellisense, CI/CD, and the tools they expect. The Visual Builder and TypeScript SDK are fully interoperable: technical and non-technical teams can edit and manage Agents in either format and collaborate with others at any time. Use Cases In
| Stars | 1,434 |
| Forks | 178 |
| Language | TypeScript |
| Category | MCP Server |
| Quality Score | 59.58193271465/100 |
| Open Issues | 40 |
| Last Updated | 2026-09-23 |
| Created | 2025-09-05 |
| Platforms | mcp, node |
| Est. Tokens | ~15k |
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agents is Create AI Agents in a No-Code Visual Builder or TypeScript SDK with full 2-way sync. For shipping AI assistants and multi-agent AI workflows.. It is categorized as a MCP Server with 1.4k GitHub stars.
agents is primarily written in TypeScript. It covers topics such as agent, agent-builder, agent-framework.
You can find installation instructions and usage details in the agents GitHub repository at github.com/inkeep/agents. The project has 1.4k stars and 178 forks, indicating an active community.
The top alternatives to agents on Agent Skills Hub include flow-like, giselle, astron-rpa. 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: