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 Hexastack · Agent Tool · ★ 944
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Hexabot safe to install? View the security audit →
Automate the Boring, Keep the Magic Build and run agentic workflows across channels with YAML, tools, MCP, memory and RAG. Website · Documentation · Extensions · Discord Hexabot v3 is an automation platform with first-class AI capabilities, combining workflows, actions, and conversational channels in one runtime. Quick Start Prerequisites Node.js One package manager (, , , or ) Docker (optional, for Docker-based services) This Quick Start targets projects generated with the CLI. If you are contributing to the Hexabot monorepo itself, use PNPM (see CONTRIBUTING.md). 1) Install the CLI Or run the CLI without a global install: 2) Create and run a project
| Stars | 944 |
| Forks | 215 |
| Language | TypeScript |
| Category | Agent Tool |
| Quality Score | 66.1441669242001/100 |
| Open Issues | 16 |
| Last Updated | 2026-05-05 |
| Created | 2024-09-09 |
| Platforms | claude-code, gemini, node |
| Est. Tokens | ~3580k |
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Hexabot is Hexabot v3 is an AI automation platform, combining workflows, actions, agents, and conversational channels in one runtime.. It is categorized as a Agent Tool with 944 GitHub stars.
Hexabot is primarily written in TypeScript. It covers topics such as agent, agentic, agents.
You can find installation instructions and usage details in the Hexabot GitHub repository at github.com/Hexastack/Hexabot. The project has 944 stars and 215 forks, indicating an active community.
The top alternatives to Hexabot on Agent Skills Hub include Hexabot, py-gpt, better-chatbot. 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: