aimmh-lib 0.1.0

Async multi-model conversation orchestration patterns (fan_out, daisy_chain, room_all, room_synthesized, council, roleplay)

Emergent — Multi-Model AI Hub

Chat with GPT, Claude, Gemini, Grok, DeepSeek, and Perplexity in parallel. Compare, synthesize, and chain their responses — all in one interface.

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Try it live

emergentapp.interdependentway.org

Tier	Price	What you get
Free	$0	Explore the interface
Core	$15/month	Full EDCM analytics, API key management, cost tracking
Founder	$153 one-time	Locked $15 rate forever, founder badge, early access — 53 slots only
Compute credits	$10–$50	Pay-per-use compute blocks

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What is this?

Emergent is a multi-model AI hub that lets you send one prompt to multiple LLMs simultaneously and work with their responses together. Instead of copy-pasting between chat tabs, you get a single interface with color-coded, side-by-side or stacked responses from every model you care about.

Beyond simple fan-out, Emergent supports structured interaction patterns — synthesis (feed multiple responses into one model for analysis), shared rooms (models that see and respond to each other), daisy chains (A→B→C sequential pipelines), council mode, and roleplay scenarios. The EDCM engine analyzes conversation transcripts across six cognitive metrics and surfaces actionable insights.

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Interaction Patterns

Pattern	What it does
Fan-out	Send one prompt to N models in parallel
Synthesis	Select responses, send to a synthesis model for analysis
Shared Room (All)	All models see each other's responses and reply in rounds
Shared Room (Synthesized)	Responses synthesized first, then drive the next round
Daisy Chain	Model A → B → C sequentially, each seeing the previous response
Council	Each model synthesizes all responses including its own
Roleplay	DM-driven roleplay with initiative ordering and reactions

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Self-hosting

Backend (FastAPI + MongoDB)

cd backend
pip install -r requirements.txt

# Required env vars
export MONGO_URI="mongodb://localhost:27017"
export JWT_SECRET="your-secret"
export STRIPE_SECRET_KEY="sk_..."        # optional: for payments
export STRIPE_WEBHOOK_SECRET="whsec_..." # optional: for webhooks

uvicorn server:app --reload

Frontend (React)

cd frontend
npm install
npm start

The frontend expects the backend at http://localhost:8000 by default.

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aimmh-lib — the open-source core

The orchestration patterns are extracted into a standalone, zero-dependency Python library.

pip install aimmh-lib

import asyncio
from aimmh_lib import fan_out

async def call_model(model_id: str, messages: list[dict]) -> str:
    # plug in any model backend here
    return f"Response from {model_id}"

async def main():
    results = await fan_out(
        call_fn=call_model,
        model_ids=["gpt-4o", "claude-3-5-sonnet", "gemini-1.5-pro"],
        messages=[{"role": "user", "content": "What is the best programming language?"}],
    )
    for r in results:
        print(f"{r.model_id}: {r.content}")

asyncio.run(main())

All six patterns available: fan_out, daisy_chain, room_all, room_synthesized, council, roleplay.

PyPI →

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Tech Stack

Backend: FastAPI · Motor (async MongoDB) · asyncio · Stripe · Google OAuth · JWT

Frontend: React · Tailwind CSS · Shadcn UI · React Router

Library: Pure Python 3.11+ · zero runtime dependencies

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Repository Structure

aimmh_lib/   # pip install aimmh-lib — zero-dep async orchestration library
backend/     # FastAPI service (auth, multi-model chat, payments, EDCM)
frontend/    # React UI

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License

aimmh_lib/ is MIT licensed. The backend and frontend are proprietary — you may self-host for personal use but may not offer them as a competing hosted service.