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.
