sherifkozman/the-llm-council

Multi-LLM orchestration framework

Harness LLMs with Multi-Agent Programming

Framework profissional de orquestracao multi-agente em Python: crews, flows orientados a eventos, ReAct, RAG, memoria, MCP/A2A e multi-provider LLM

Parallel Reasoning: llm-consortium orchestrates mulitple LLMs, iteratively refines & achieves consensus.

Easiest and laziest way for building multi-agent LLMs applications.

brick is a smart AI Models router, based on complexity & capabilities extraction from the query to the models via proprietary spatial embedding algorythm

One local control plane for every AI agent: route across models, fuse new capabilities, orchestrate tools, and stay fully in control.

A single interface to use and evaluate different agent frameworks

The minimal interpretable model router that learns & adapts to your agent workflows