AgentsWorkshop → V-E

New chapter: graphs, ontologies & context for agents

Hey👋 Andrew here

You’re getting this because some time ago you subscribed to AgentsWorkshop.

Quick heads up: the newsletter is pivoting.

What changed

For the recent 8 months I’ve been locked-in on
building graph DBs as context/memory layer for AI agents.

In February I shipped Nanograph: on-device graph database inspired by DuckDB:

nanograph: on-device graphDB for agents [and humans]

Then I joined ModernRelay and we shipped Omnigraph
Powerful lake-house graph db designed from first principles for agents.
Here is the breakdown by Neo Kim:

How to use AI agents better than 99% of people

All my thinking is now centered around graphs.

That’s why AgentsWorkshop → V-E

V-E means Vertices & Edges.
Every graph is G = (V, E).

From here it’s all about:

• ontologies

• data engineering

• graph databases

• context graphs

• company brains

• graph viz tools & IDEs

• network analysis

• semantic layers

• graphRAG

• knowledge bases

• LLM wikis

Upcoming issues

• Full Omnigraph breakdown + case studies

• SPIKE-ontology for industry intel

• Orbit: powerful graph viz tool + real applications

• Knowledge graphs foundations: 3 books

• Building personal concept graph

I’m super excited for this new chapter!
Stay tuned - first issue is out tomorrow📡