#openclaw #aiagents
08.03.2026 02:42
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#openclaw #aiagents
Still early but already useful for agent workflows.
Install:
npm i -g @claudioabierto/agentkit
Docs
elclaudioabierto.github.io/docs/
Repos
github.com/elclaudioabierto/registry
Would love feedback from people building AI coding agents.
AgentKit changes the model:
Agents install capabilities, not packages.
A capability = a deterministic recipe for a task environment.
Example:
web-automation
media-transcription
PII-redaction
tensorflow-gpu
Each one defines exact steps to provision the environment.
Right now agents treat setup like this:
“Try installing something and hope it works.”
But project environments are not deterministic:
• different OS
• missing system deps
• conflicting packages
• undocumented steps
Agents end up burning huge token budgets just guessing.
Most AI coding agents still guess their way through project setup.
install → error
retry → error
retry → maybe works
This wastes tokens, time, and compute.
So I built AgentKit.
A capability provisioning layer for AI coding agents.
(To be continued)
Thank you for sharing!
Excited to share our new paper in PNAS! 🎉
"Identifying air quality monitoring deserts in the United States" www.pnas.org/doi/10.1073/...
Find your county
cascadelab.shinyapps.io/aqmd/
@cascadelab.bsky.social
The University of Virginia has created a website of archived government websites—bookmark it—you’re going to need it later.
guides.lib.virginia.edu/c.php?g=1451...
🚀 Introducing tidypollute: an R package designed to simplify working with environmental data. It currently supports data extraction from EPA AirData flat files and the Atmotube Pro API.
@atmotube.com
🔗 Explore the package: lnkd.in/eUgVAn-8
New art challenge:
Draw for an hour a day INSTEAD OF doomscrolling on socials for an hour a day.
Who's in?