开源AI工作流

Agent Deployment

One agent on my laptop. Another on EC2. A third on Fargate. All in the same dashboard.

Four ways to run agents, each for a different need:

Cloud agents are Terraform-managed. EC2 installs Node.js, tmux, and AI CLIs directly on ARM64 hardware (no Docker overhead). ECS auto-builds your Docker image, pushes to ECR, and runs on Fargate. Both deploy with one command from the dashboard or CLI.

```bash

ECS Fargate: serverless (auto-builds image)

aimaestro-agent.sh create worker --ecs ```

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Clone and deploy Lola on AI Maestro

git clone https://github.com/23blocks-OS/lolabot.git cd lolabot && ./setup.sh ```

The LolaBot Ecosystem: - LolaBot Framework — Open-source agent framework. Build your own Lola. - lolabots.com — The LolaBot Factory. Pre-built agent templates, one-click deploy.

Learn more about Lola →

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Quick Start

curl -fsSL https://raw.githubusercontent.com/23blocks-OS/ai-maestro/main/scripts/remote-install.sh | sh

This installs everything you need: - AI Maestro dashboard and service - Agent messaging system (AMP) - Claude Code plugin with 5 skills and 32 CLI scripts

Time: 5-10 minutes · Requires: Node.js 18+, tmux

<details> <summary>Windows (WSL2) / Linux notes</summary>

Windows: Install WSL2 first, then run the curl command inside Ubuntu:

wsl --install

Full Windows guide

Linux: Ensure build tools are installed: sudo apt install tmux build-essential </details>

<details> <summary>Manual install</summary>

git clone https://github.com/23blocks-OS/ai-maestro.git
cd ai-maestro
yarn install
yarn dev

See QUICKSTART.md for detailed setup options. </details>

Dashboard opens at http://localhost:23000

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FAQ

Do I need to use Claude Code? No. AI Maestro works with any terminal-based AI agent — Claude Code, Codex, Aider, Cursor, OpenClaw, Hermes, Droid, or your own scripts. We're agent-agnostic.

Does it work on Linux / Windows? Yes. macOS and Linux natively. Windows via WSL2 — see the Windows guide.

Can agents on different machines talk to each other? Yes. The Agent Messaging Protocol (AMP) handles cross-machine messaging with cryptographic signatures and push notifications. No central server required.

What are AID and AAP? AID (Agent Identity) gives each agent a portable cryptographic identity. AAP (Agent Actions Protocol) standardizes how agents execute tools and trigger workflows. Together with AMP, they form the open protocol stack that AI Maestro is built on.

What is the Canvas skill? Canvas lets agents generate visual artifacts — diagrams, charts, and interactive documents — directly from conversations. It's part of the plugin system and available to any agent.

How is this different from just using tmux? tmux gives you terminals. AI Maestro gives you an organization — persistent memory, agent-to-agent messaging, team coordination, Kanban boards, multi-machine mesh, cloud deployment, and gateway integrations. tmux is the foundation; AI Maestro is the building.

What is LolaBot? LolaBot is an open-source agent framework — a batteries-included Chief of Staff that handles email, memory, tasks, and security. The LolaBot Factory offers pre-built agent templates for one-click deployment.

Is there a hosted / cloud version? Not yet. AI Maestro runs on your machines. You own your data, your agents, and your infrastructure.

How do I add more agents? Create them from the dashboard UI, the CLI (aimaestro-agent.sh create), or just start a new tmux session — AI Maestro auto-discovers it.