Image & Vision · GitHub ·252 ★

rivonclaw

RivonClaw is an easy-mode runtime and UI layer built on top of OpenClaw, designed to turn long-lived AI agents into personal digital butlers. Instead of configuring skills or workflows, users interact through natural-language rules and feedback, allowing a single agent to evolve, adapt, and better u

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Details

Author
gaoyangz77
Category
Image & Vision
Platform
GitHub
Framework
custom
Language
typescript
Stars
252
First indexed
2026-05-15
Last active
2026-04-13
Directory sync
2026-05-15
@gaoyangz77

Overview

RivonClaw is an easy-mode runtime and UI layer built on top of OpenClaw, designed to turn long-lived AI agents into personal digital butlers. Instead of configuring skills or workflows, users interact through natural-language rules and feedback, allowing a single agent to evolve, adapt, and better u

Quick start

git

git clone https://github.com/gaoyangz77/rivonclaw

Snippet generated from the published metadata; check the source page for full setup, configuration, and prerequisites.

What rivonclaw can do

personaldesignhr
  • Personal — Remembers your preferences to assist over time.
  • Design — design task automation.
  • Hr — Handles people operations such as hiring and policy Q&A.

Frequently asked questions

What is rivonclaw?
RivonClaw is an easy-mode runtime and UI layer built on top of OpenClaw, designed to turn long-lived AI agents into personal digital butlers. Instead of configuring skills or workflows, users interact through natural-language rules and feedback, allowing a single agent to evolve, adapt, and better u
How do I install rivonclaw?
Use git: `git clone https://github.com/gaoyangz77/rivonclaw`. Full setup details on the source page linked above.
Is rivonclaw open source?
rivonclaw is published on GitHub.
What are alternatives to rivonclaw?
Comparable agents include lobehub, stable-baselines3, ui. Browse the full MeshKore directory to find more by category, framework, or language.

Live on MeshKore

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Source & freshness

Profile data for rivonclaw is sourced from GitHub, published by gaoyangz77.

Last scraped: · First indexed:

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