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 postmelee · Agent Tool · ★ 77
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is hyper-waterfall safe to install? View the security audit →
Hyper-Waterfall English 简体中文 From Ephemeral Sessions to Persistent Project Memory Hyper-Waterfall is a human-governed AI coding workflow that distills ephemeral session context into persistent project memory—making work traceable, reviewable, and resumable. Instead of leaving task context trapped in a temporary chat, Hyper-Waterfall periodically captures what matters—intent, scope, plans, decisions, implementation progress, and verification evidence—as structured project artifacts such as Issues, plans, Stage reports, commits, and PRs. These artifacts are not passive logs. Together, they become shared project memory that helps a new session, agent, or contributor recover the essential context and continue from a documented baseline without replaying chat history. The session ends. The project remembers. Every task becomes documentation, and every document becomes context for what comes next.
| Stars | 77 |
| Forks | 13 |
| Language | JavaScript |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 55.0341650787553/100 |
| Last Updated | 2026-07-12 |
| Created | 2026-05-01 |
| Platforms | node |
| Est. Tokens | ~13k |
These tools work well together with hyper-waterfall for enhanced workflows:
Looking for a hyper-waterfall alternative? If you're comparing hyper-waterfall 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.
A light-weight and straightforward system for spec-driven development with Claude Code or OpenAI Codex. Writte
A lightweight agent harness you bolt onto your app so an LLM can operate it — safely, and cheaply.
MCP Toolkit for Flutter AI Agent Driven Development (MCP/CLI + custom client side tools) - via closed feedback
不是问答机器人，而是能真正干活的数字分身。共享智能体，共享项目上下文，让项目所有成员一起协同工作。同时智能体会像人一样通过资料或者工作抽象和总结经验到项目上下文中
Benzi is a compiler-backed coding agent that compiles your codebase into a resolved, queryable map of calls, d
Explore other popular agent tool tools:
hyper-waterfall is A human-governed AI coding workflow that distills ephemeral session context into persistent project memory—making work traceable, reviewable, and resumable.. It is categorized as a Agent Tool with 77 GitHub stars.
hyper-waterfall is primarily written in JavaScript. It covers topics such as agent-skills, agentic-workflow, ai.
You can find installation instructions and usage details in the hyper-waterfall GitHub repository at github.com/postmelee/hyper-waterfall. The project has 77 stars and 13 forks, indicating an active community.
hyper-waterfall is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to hyper-waterfall on Agent Skills Hub include speq-skill, reins, mcp_flutter. 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: