Hi — I found this repo while looking for multi-agent Python builders. The LangChain/LangGraph pipeline from arXiv research to summarisation to business-focused LinkedIn writing is a useful pattern: research ingestion, synthesis, and outward communication as a coordinated agent workflow.
I am recruiting founding builders for Ascension Technologies DAO. We are building Ora / Connectome — an AI OS for human flourishing — and a lot of the work sits at exactly this intersection of agents, knowledge workflows, communication, and productised automation.
The DAO runs on an LTV contribution model: builders earn CP monthly based on ongoing impact. The first 10 contributors to reach 3000 CP become Founding Stewards, with deeper governance and long-term upside in the ecosystem.
If that sounds interesting, join the builder circle here:
https://t.me/ascensiontechai
More context:
Nice work on making the workflow concrete rather than abstract — that is the kind of builder mindset we are looking for.
— Avi / @neoandromeda
Hi — I found this repo while looking for multi-agent Python builders. The LangChain/LangGraph pipeline from arXiv research to summarisation to business-focused LinkedIn writing is a useful pattern: research ingestion, synthesis, and outward communication as a coordinated agent workflow.
I am recruiting founding builders for Ascension Technologies DAO. We are building Ora / Connectome — an AI OS for human flourishing — and a lot of the work sits at exactly this intersection of agents, knowledge workflows, communication, and productised automation.
The DAO runs on an LTV contribution model: builders earn CP monthly based on ongoing impact. The first 10 contributors to reach 3000 CP become Founding Stewards, with deeper governance and long-term upside in the ecosystem.
If that sounds interesting, join the builder circle here:
https://t.me/ascensiontechai
More context:
Nice work on making the workflow concrete rather than abstract — that is the kind of builder mindset we are looking for.
— Avi / @neoandromeda