Run an Agent Council of LLMs that debate and synthesize answers
I built a local-first UI that adds two reasoning architectures on top of small models like Qwen, Llama and Mistral: a sequential Thinking Pipeline (Plan → Execute → Critique) and a parallel Agent Council where multiple expert models debate in parallel and a Judge synthesizes the best answer. No API keys, zero .env setup — just pip install multimind. Benchmark on GSM8K shows measurable accuracy gains vs. single-model inference.
Run an Agent Council of LLMs that debate and synthesize answers launched on March 12, 2026 with 8 votes, #1,340 of 23,380 launches that month and more than 75% of that year's launches.
What it does
Run a council of local LLMs that debate, critique, and synthesize — no API keys needed. - JitseLambrichts/MultiMind-AI
A local-first web UI that adds sequential reasoning pipelines and parallel expert councils on top of small local models. MultiMind AI bridges the gap between small local models and complex reasoning. It effortlessly auto-discovers endpoints like Ollama and LM Studio (OpenAI-compatible) and lets you deploy three reasoning architectures: a sequential Thinking Pipeline (Planning, Execution, Critique), a parallel Agent Council (Expert Advisors & Lead Judge), or a hierarchical Organisation Mode (CEO → Departments → Employees → Synthesis). # 1. Install the package via pip pip install multimind # 2. Launch the application multimind 🛠 Setting up for Development / Source Install # 1. Clone the…from github.com
Pricing, as stated on its site
Free — MultiMind AI is an open-source project available on GitHub with no pricing model mentioned. It is free to use as a local-first web UI for running reasoning pipelines and agent councils on local LLMs.
checked September 2026 · prices change
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