Orchestra Multi-Model AI System

Beginners
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Screenshot 2025-12-16 115334
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Hi everyone,

I’m excited to share Orchestra, a local orchestration system for language models designed for developers and researchers who need full control over multi-LLM setups. Unlike other orchestration tools, Orchestra avoids autonomous or emergent behavior, ensuring deterministic execution every time.

Key features:

  • Fully local execution — no cloud required

  • Deterministic results with every run

  • Supports coordination of multiple specialized LLMs simultaneously

  • Ollama Required

Try it yourself:

Existing orchestration tools often introduce unwanted autonomous behavior. Orchestra focuses on predictable, controllable execution, making it ideal for research, testing, and production workflows that rely on local models.

I’d love to hear feedback from the community and/or suggestions.

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Orchestra now has the ability to upload one document at a time and automatic RAG. I’m leveraging the power of 20 Billion parameters using only the hardware footprint of an 8 Billion parameter model. It all runs locally.

The conductor has the ability to gather the best answers to queries from the various models it calls up and even correct any of their mistakes before delivering you an answer. I’m working on adding call functions next.

This version isn’t uploaded to Gumroad yet, but it will be. I have the linux version finished. It’ll be a week before I have the windows version finished.

I’m telling you, this program I built is an absolute unit!

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