by gannonh · Agent Tool · ★ 105
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Agent orchestration framework for spec-driven development
| Stars | 105 |
| Forks | 3 |
| Language | JavaScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 55.9268231120873/100 |
| Open Issues | 8 |
| Last Updated | 2026-03-14 |
| Created | 2026-01-18 |
| Platforms | claude-code, node |
| Est. Tokens | ~2306k |
These tools work well together with kata-orchestrator for enhanced workflows:
Looking for a kata-orchestrator alternative? If you're comparing kata-orchestrator with other agent tool tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Transform your Claude Code terminal with atomic precision statusline. Features flexible layouts, real-time cos
Kindly Web Search MCP Server: Web search + robust content retrieval for AI coding tools (Claude Code, Codex, C
Daymon puts your favorite AI to work 24/7. It schedules, remembers, and orchestrates your own virtual team. Fr
An MCP Server for Chrome DevTools, following the Chrome DevTools Protocol. Integrates with Claude Desktop and
MCP implementation of Claude Code capabilities and more
use claude code's agent teams orchestraction with any harness
Explore other popular agent tool tools:
kata-orchestrator is Agent orchestration framework for spec-driven development. It is categorized as a Agent Tool with 105 GitHub stars.
kata-orchestrator is primarily written in JavaScript. It covers topics such as claude-code.
You can find installation instructions and usage details in the kata-orchestrator GitHub repository at github.com/gannonh/kata-orchestrator. The project has 105 stars and 3 forks, indicating an active community.
kata-orchestrator is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to kata-orchestrator on Agent Skills Hub include claude-code-statusline, kindly-web-search-mcp-server, daymon. 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: