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Show HN: PolyAgora – A natural-language multi-agent OS built with GPT-5.1
During a two-day trip I ended up building a 6-agent conversational OS with GPT-5.1 — using only natural-language instructions, no code.
It’s called PolyAgora.
What it is:
- A natural-language multi-agent “OS” with 6 agents
- Built around a tri-axis core (Arc–Ann–Saku) + 3 supporting agents
- Designed to produce long-form, philosophy-grade conversations
- Dynamic objection engine + topic-shift mechanics
- Emergent behavior, not pre-scripted roleplay
I’m not an ML engineer.
This grew organically out of wanting to have deep small-talk with GPT-5.1 during a short trip — and it evolved into a structured OS.
Repo (docs + long examples):
https://github.com/Takeshi-Sakamoto5/PolyAgora https://github.com/Takeshi-Sakamoto5/PolyAgora
I’d love feedback from HN:
- Is this structure useful for multi-agent reasoning research?
- Does the emergent conversation quality seem meaningful?
- What would you add/change for v1.1.0 (I plan to include a “runaway dialogue” example)?
- takeshi_sakamo 11mo agoHi, author here. If you have any questions about the architecture, the tri-axis model, or the emergent behavior, I’m happy to answer. Also curious to hear whether this approach could be useful for multi-agent research or creative applications. Thanks for checking it out!