openclaw-kapso-whatsapp — Agent Tool by Enriquefft

Last updated: 2026-03-29 · Indexed by AgentSkillsHub · Auto-synced every 8h

About openclaw-kapso-whatsapp

Give your OpenClaw AI agent a WhatsApp number. Official Meta Cloud API via Kapso. No ban risk.

ai chatbot go kapso meta-cloud-api openclaw whatsapp

Quick Facts

Stars	186
Forks	26
Language	Go
Category	Agent Tool
License	MIT
Quality Score	41.25/100
Open Issues	3
Last Updated	2026-03-29
Created	2026-02-28
Platforms	go
Est. Tokens	~434k

Compatible Skills

These tools work well together with openclaw-kapso-whatsapp for enhanced workflows:

wacli — semantic(0.39)+complementary+rare_topics+same_lang+similar_pop+shared_platform (63%)
goclaw — semantic(0.16)+complementary+same_lang+similar_pop+shared_platform (55%)
cloudsword — semantic(0.27)+complementary+same_lang+similar_pop+shared_platform (54%)
ClawPanel — semantic(0.21)+complementary+same_lang+similar_pop+shared_platform (52%)

openclaw-kapso-whatsapp alternative? Top 6 similar tools

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Frequently Asked Questions

What is openclaw-kapso-whatsapp?

openclaw-kapso-whatsapp is Give your OpenClaw AI agent a WhatsApp number. Official Meta Cloud API via Kapso. No ban risk.. It is categorized as a Agent Tool with 186 GitHub stars.

What programming language is openclaw-kapso-whatsapp written in?

openclaw-kapso-whatsapp is primarily written in Go. It covers topics such as ai, chatbot, go.

How do I install or use openclaw-kapso-whatsapp?

You can find installation instructions and usage details in the openclaw-kapso-whatsapp GitHub repository at github.com/Enriquefft/openclaw-kapso-whatsapp. The project has 186 stars and 26 forks, indicating an active community.

What license does openclaw-kapso-whatsapp use?

openclaw-kapso-whatsapp is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to openclaw-kapso-whatsapp?

The top alternatives to openclaw-kapso-whatsapp on Agent Skills Hub include ClawPanel, llmio, homebutler. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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