
CUGA Explained: IBM's Open-Source Agent Harness for Enterprise AI | AI Alliance
Published May 15, 2026
At a glance
Views
12,997
Likes
249
Comments
5
Performance vs. channel
All-time outlier score
Engagement rate
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About
Can open-source AI agents finally be production-ready? In this AI Alliance session, the creators of CUGA (Configurable Generalist Agent) introduce a new category of AI infrastructure: the agent harness—an enterprise-ready layer that handles governance, memory, RAG, security, observability, and multi-agent orchestratio…
- Published
- May 15, 2026
- Made for kids
- No
More features coming
We're working on new analytics and tools. Stay tuned.
How CUGA Explained: IBM's Open-Source Agent Harness for Enterprise AI | AI Alliance is doing
It has 12.9K views in total. It ranks #14,618,336 among tracked YouTube videos by views.
Key facts about CUGA Explained: IBM's Open-Source Agent Harness for Enterprise AI | AI Alliance
- Total views
- 12.9K
- Total likes
- 249
- Total comments
- 5
- Published
- May 15, 2026
- Global rank by views
- #14,618,336
Frequently asked questions
How many views does CUGA Explained: IBM's Open-Source Agent Harness for Enterprise AI | AI Alliance have?
CUGA Explained: IBM's Open-Source Agent Harness for Enterprise AI | AI Alliance has 12,997 views, 249 likes and 5 comments, ranking #14,618,336 among tracked YouTube videos by views.
How accurate are these YouTube video analytics?
View, like, and comment counts come from YouTube's public API and refresh regularly. Growth and revenue figures are estimates built from tracked historical data, so they can differ slightly from what the creator sees privately in YouTube Studio.
What is the outlier score?
How this video's views compare to the channel's usual Shorts or long-form video. A 2x score means double the usual views for that channel, 0.5x means half.
What is engagement rate and how is it calculated?
Likes and comments per view, compared to this channel's typical engagement rate — shown as above or below what's usual for the channel.
How is the revenue estimate calculated?
It's a rough public estimate based on a $0.7–$2.0 CPM (revenue per 1,000 views) applied to view count — not actual creator earnings, which depend on ad rates, audience geography, and monetization settings YouTube doesn't expose publicly.
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