Reviva — not yet audited

by mingchen666 · Agent Tool · ★ 227

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

About Reviva

Local-first AI learning workspace — ask, note, review and create around your own materials. Wiki KB, Agents, Skills, creation tools.AI 学习工作台,围绕你的资料完成问答、笔记、复习和创作输出。本地优先,多模型,Wiki 知识库,AI Agent,创作工具。

agentaiai-agentknowledge-basellmragskillswiki

Quick Facts

Stars227
Forks24
LanguageHTML
CategoryAgent Tool
Quality Score54.6749144485963/100
Open Issues4
Last Updated2026-09-14
Created2026-06-28
Est. Tokens~15k

Compatible Skills

These tools work well together with Reviva for enhanced workflows:

  • llm-wiki-memory — semantic(0.25)+complementary+same_lang+similar_pop+shared_platform (59%)

Reviva alternative? Top 6 similar tools

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Frequently Asked Questions

What is Reviva?

Reviva is Local-first AI learning workspace — ask, note, review and create around your own materials. Wiki KB, Agents, Skills, creation tools.AI 学习工作台,围绕你的资料完成问答、笔记、复习和创作输出。本地优先,多模型,Wiki 知识库,AI Agent,创作工具。. It is categorized as a Agent Tool with 227 GitHub stars.

What programming language is Reviva written in?

Reviva is primarily written in HTML. It covers topics such as agent, ai, ai-agent.

How do I install or use Reviva?

You can find installation instructions and usage details in the Reviva GitHub repository at github.com/mingchen666/Reviva. The project has 227 stars and 24 forks, indicating an active community.

What are the best alternatives to Reviva?

The top alternatives to Reviva on Agent Skills Hub include aser, flock, argo. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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