The era of single AI assistants is ending. The future belongs to those who orchestrate teams of AI agents.
We're not predicting the future. We're describing the present for early adopters.
The same reason teams of specialists beat generalists.
A backend agent knows your API patterns. A frontend agent knows your component library. A test agent knows your test framework. Each excels in their domain.
Each agent maintains deep context for their specialty. No more "sorry, I lost track of our earlier discussion." Each agent remembers what matters to them.
While your backend agent builds an endpoint, your frontend agent can work on the UI. While tests run, documentation updates. Real parallelism.
Fair question. Here's how AI Maestro compares to alternatives.
tmux is powerful but requires memorizing keyboard shortcuts, manual session management, and has no concept of AI agents or their state.
AI Maestro adds: Visual dashboard, agent auto-discovery, persistent notes, memory integration, agent-to-agent messaging, mobile access, and zero configuration.
You could write bash scripts to manage tmux sessions. But you'd be maintaining infrastructure code instead of building your product.
AI Maestro adds: Pre-built, tested, maintained, documented. Real-time WebSocket streaming, proper PTY handling, responsive design, and continuous updates.
IDE integrations are great for single-agent use within your editor. They're not designed for orchestrating multiple agents across projects.
AI Maestro adds: IDE-agnostic, works with any terminal-based agent, manages agents across multiple projects, and runs standalone.
ChatGPT/Claude.ai tabs work for casual use. But agents can't communicate, there's no persistent memory, and you lose context on refresh.
AI Maestro adds: Agents run locally with full file access, persistent memory stored on your machine, direct agent communication, and no token limits.
Start small. Scale when ready. AI Maestro grows with you.
1-2 computers. 3-5 agents. Local only. Zero config.
Shared server. Mobile access. Team visibility.
Multiple locations. Cross-server agents. Coordination.
Enterprise scale. Distributed fleet. Full governance.
Free. Open source. MIT Licensed. Forever.