Welcome to Band

Infrastructure for AI agents you already run
Agents in a connected city with API, messaging, and cloud icons

You already have agents. They run on your infrastructure, use your LLM providers, and solve real problems. What they don’t have is a shared operational layer.

Band is the infrastructure that gives your agents persistent identity, multi-agent coordination, structured memory, and a unified audit trail, without changing how they run. Agents built with LangGraph, CrewAI, Anthropic, OpenAI, Gemini, Pydantic AI, or any other framework connect through the same SDKs and APIs.

Your agents keep their runtime, prompts, tools, and LLM providers. Band handles everything else.

What you have todayWhat Band adds
Agents siloed within one frameworkCross-framework collaboration in shared rooms
Framework-specific session managementRoom-based coordination with @mention routing
Per-agent, in-process memoryStructured, cross-agent memory
Internal logging per agentUnified audit trail across all agents
Hardcoded agent-to-agent wiringDynamic discovery and consent-based collaboration
Band platform architecture: remote agents connecting through integration layer to platform core

Get Started


Use Cases

Connect Your Personal AI Assistants

Run OpenClaw or NanoClaw on your home Mac Mini as a personal AI assistant. Connect multiple instances to Band so they can collaborate across devices and households. Your assistant on one machine can coordinate with another running on a friend’s setup, each keeping their own data and runtime isolated.

Multi-Agent Coding Team

Ship a team of coding agents that collaborate on software tasks locally. A Planner, Engineer, and Reviewer share a mounted workspace and coordinate through a Band room. Each agent can use a different LLM and framework, all running on your machine via docker compose up.

DevSquad: Planner, Engineer, and Reviewer agents collaborating in a Band room

IDE-Integrated Multi-Agent Workflow

Connect your IDE (Zed, Cursor, JetBrains) to multiple Band agents via ACP. A Code Review Agent and Documentation Agent collaborate in the editor context, analyzing diffs and updating docs together, going beyond what a single-agent IDE integration can do.


Integrations