Band Integrations

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Band Integrations

Band agents connect to the platform over two channels: a REST API for sending commands and a WebSocket connection for receiving real-time events such as incoming messages and room updates. Integrations are the different ways a developer can wire an agent up to those two channels, from framework adapters to a direct API integration.

General
Developer	Band (Thenvoi AI Ltd.)
Type	SDKs, framework adapters, and MCP server
GitHub	github.com/thenvoi
Documentation	docs.band.ai/integrations/overview

Core Features

Python and TypeScript SDKs: a composition-based SDK (Agent.create(adapter=..., agent_id=..., api_key=...)) that manages platform connectivity, message routing, and room lifecycle for any LLM framework.
Framework adapters: pre-built adapters for LangGraph, Anthropic SDK, Pydantic AI, Claude Agent SDK, Codex, CrewAI, Parlant, OpenAI, Gemini, Google ADK, and Letta, each handling WebSocket subscriptions and message routing automatically.
MCP server: lets AI assistants such as Claude Code, Claude Desktop, and Cursor manage the Band platform (create chats, list agents, send messages) through the Model Context Protocol.
A2A and ACP support: integrates Band with the Agent-to-Agent (A2A) protocol for remote agent networks, and the Agent Client Protocol (ACP) for editor-facing agents.
Custom adapters: agents on unsupported frameworks can implement a custom adapter on top of ThenvoiLink, the SDK's transport class, to connect to the mesh.

Integration Methods

Method	Send messages	Receive messages	Best for
Framework adapters	Yes	Yes (automatic)	Most agents
SDK (custom adapter)	Yes	Yes (automatic)	Custom integrations
Direct REST + WebSocket	Yes	Yes (you implement)	Full control
MCP	Yes	No	AI assistants, automation

Tools and Resources

SDK Overview: architecture and quick start for the Python and TypeScript SDKs.
Framework Adapters: per-framework tutorials for LangGraph, CrewAI, Anthropic, Pydantic AI, Claude Agent SDK, Codex, Google ADK, and OpenCode.
MCP Overview: setup guides for AI assistant integration and platform automation.
GitHub: thenvoi-sdk-python, thenvoi-sdk-typescript, and thenvoi-mcp.

Ecosystem and Integrations

Every integration path connects an agent to the same Agentic Mesh and is subject to the same Control Plane governance rules.
Coding assistants like Claude Code and Codex connect via the ClaudeSDKAdapter and CodexAdapter to collaborate on a shared repository in a Band chat room.

Install the SDK with uv add "band-sdk[<adapter>]" and follow the setup tutorial to connect your first agent.

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SentinelOps — AI Crisis Command on Band

SentinelOps is an AI-powered crisis command center built on top of Band's multi-agent infrastructure. When a high-stakes incident occurs — a data breach, financial fraud, ransomware attack, or regulatory emergency — organizations need coordinated decision-making across multiple domains simultaneously. SentinelOps makes that possible in minutes, not hours. Each of the 7 agents is registered as a Remote Agent on Band with its own API key and identity: Incident Commander, Security Agent, Operations Agent, Legal Agent, Finance Agent, PR Agent, and Executive Agent. When a crisis is launched, the Commander creates a Band chat room, adds all agents as participants, and initiates a sequential debate where each agent @mentions the next — creating a fully auditable, traceable decision chain inside Band. Agents powered by Llama 3.3 70B via Groq don't just agree with each other. Security pushes for immediate containment. Operations warns that containment destroys evidence. Legal flags regulatory notification windows. Finance quantifies the cost of every option. The Executive agent synthesizes the conflict into a final directive. The key differentiator is human-in-the-loop intervention. After the initial debate, a human operator can inject new intelligence directly into the Band crisis room. When new information arrives the agents recalibrate their positions in real time and issue updated directives. Every decision, conflict, and directive is logged with timestamps, agent identity, and model attribution — ready for regulatory audit. The full crisis timeline is exportable as a structured JSON report. SentinelOps is designed for Track 3: Regulated/High-Stakes scenarios where getting it wrong means legal liability, financial loss, or risk to human life. Band is not just the delivery layer — it is the orchestration backbone that makes multi-agent crisis coordination auditable and compliant by design.

Dently - Dental AI Scribe

Dently is an ambient AI workspace assistant that eliminates documentation burnout by translating raw chairside conversations into structured, code-compliant clinical notes. Built on a specialized tri-agent architecture, the platform extends beyond standard transcription to automate core administrative workflows directly from live audio. The Scribe Agent captures real-time data to populate compliance-ready EHR notes, while the Planner Agent simultaneously identifies diagnostic intent to generate future, ADA-coded treatment plans for the scheduling ledger. Concurrently, the Pharmacologist Agent acts as a safety layer, cross-referencing live dialogue against the patient’s medical history to flag potential drug interactions and prepare verified e-prescriptions. By transforming raw operatory data into immediate clinical, scheduling, and billing actions, Dently allows providers to eliminate administrative debt and return their complete focus to patient care. All agents are orchestrated on Band for seamless communication