PolyAgents – Multiple AI Models Together, Then Merge Ideas via Local Consensus

3 Fenix46 1 7/13/2025, 10:16:59 AM github.com ↗

Comments (1)

Fenix46 · 1h ago
Hey HN,

I’ve been experimenting with AI agents lately and built something I call PolyAgents – a lightweight framework that lets multiple LLMs think together on a user prompt and then summarizes or merges their insights using a local semantic consensus model.

How it works:

You send a prompt. Three different Gemini models (Flash 1.5, 2.0, 2.5) each generate their own reasoning paths. Then, a 90MB local model (all-MiniLM-L6-v2) processes their answers and builds a shared consensus (currently a smart summary, soon a full synthesis of ideas).

Stack:

Dockerized setup Backend: Gemini API, Postgres, Redis, Qdrant Frontend: React + TypeScript + Vite Entirely open-source It started as a fun side project because I had a bit of coder's block — but it turned out way more interesting than expected. It’s meant to be hackable and easily extendable. Think of it as a playground for AI reasoning strategies.

Still rough around the edges, but curious what this community thinks. Would love any feedback, ideas, or collaborators.

GitHub repo:[https://github.com/Fenix46/PolyAgents] My email: [scarlataemanuele@gmail.com]