antora VS autogen

Unlike docToolchain or Asciidoctor, Antora is a true framework for Asciidoc that can store, retrieve, and aggregate all Asciidoc content from multiple git repositories. Antora’s page referencing system isn’t coupled to filesystem paths or URLs. You are able to cross reference pages across a local machine, a staging environment, and a production environment. To generate a site with Antora, you need the Antora CLI and Antora site generator.

I am still playing around with the project but FYI, the parsing for the github repo URL at https://glide.agenticlabs.com/ will fail if there's a trailing slash in the repo link i.e. https://github.com/microsoft/autogen/ won't work but https://github.com/microsoft/autogen will.

New example notebook demoing video transcript translate with whisper.

New release: v0.2.1

I disagree with the conclusion. In software, I've seen 10x engineers in person and I don't think they're replaceable. Whereas, the new college grad or that entry level dev who doesn't design anything and just writes small amounts of code, doing exactly as told is replaceable by an AI. Frameworks similar to Microsoft Autogen(https://github.com/microsoft/autogen) can in theory build agents who can do these tasks with ease whereas a 10x engineer can focus on directing the agents and designing systems.

Microsoft autogen

CompressibleAgent (experimental) can be used to handle long conversations. Notebook: https://github.com/microsoft/autogen/blob/main/notebook/agentchat_compression.ipynb

Added a simple Testbed tool for repeatedly running templated Autogen scenarios with tightly-controlled initial conditions. by @afourney in #455