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Ollama: Local Multi-Agent Tmux
Learn how to use Ollama and tmux to create a local multi‑agent system where agents communicate, share data, and reason together directly in the terminal.
The rise of multi-agent systems and the Model Context Protocol (MCP) with Agent-to-Agent (A2A) interaction is reshaping AI workflows, offering the most obvious path to value capture in complex tasks. However, these concepts can feel abstract and cloud-dependent.
This purely local demo bridges the gap. Using Ollama to run local models and tmux to orchestrate them, we simulate a multi-agent environment where agents converse, share information, and reason together—all within your terminal.
Simulates multi-agent LLM text conversations using Ollama and tmux.