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Connectome β€” open-source AI.OS using LangGraph-style multi-agent coordination for human fulfilmentΒ #3

@AvielCarlos

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@AvielCarlos

Hey @foreveryh πŸ‘‹

Mentis is well-crafted β€” building a multi-agent orchestration framework on LangGraph with clean abstractions is hard to get right, and the architecture docs show clear thinking about state management and agent coordination.

I'm building Connectome, and I'm reaching out because we're working in the same multi-agent space but pointed at a different problem.

Connectome's brain is Ora β€” a multi-agent system (10+ agents) that builds a continuous model of a person: their values, goals, current state, context. The agents don't produce conversation β€” they produce personalized JSON screen specs that drive what a React Native app shows the user in real-time. Agent coordination as UI generation.

Stack: FastAPI + PostgreSQL + pgvector + Redis + Expo React Native

LangGraph's graph-based state approach (which Mentis builds on) is something we think about a lot β€” stateful, conditional agent flows are core to how Ora handles different user contexts. Your abstractions over that layer are interesting to us.

We're building as a DAO. Every contribution earns CP, evaluated by an AI that measures lifetime value of each contribution. First 10 contributors to reach 3,000 CP become Founding Stewards β€” permanent governance rights in Ascension Technologies DAO.

Early stage, fast-moving, genuinely mission-driven. If that sounds interesting, come talk to us.

πŸ‘Ύ https://t.me/ascensioncommunity
🌐 https://avielcarlos.github.io/ascension-site

β€” Avi / Aviel Carlos | @neoandromeda | carlosandromeda8@gmail.com

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