RoomKit

RoomKit is an open-source framework for Python designed to simplify the development of multi-channel conversation systems. It enables the integration of AI agents with various communication platforms, including SMS, email, WhatsApp, Teams, Messenger, voice, video, and WebSocket, allowing messages to flow seamlessly across channels within a unified conversation context. The framework addresses common challenges in conversational system development, such as fragmented codebases, lost context when users switch channels, lack of unified conversation history, and difficulties in identity resolution across different platforms.

The tool organizes interactions into rooms, each serving as a self-contained context that binds participants, events, and channels. RoomKit features a room-based architecture, multi-channel support with automatic message transcoding, and a powerful hook system offering over 40 triggers to intercept, modify, or block events. Developers can build content moderation, analytics, AI routing, and other custom logic using both synchronous and asynchronous hooks. Identity resolution is built in, with hooks for handling ambiguous cases, challenges, and verification. The framework supports pluggable backends, providing in-memory defaults for development and options for Redis, PostgreSQL, or custom implementations in production.

RoomKit is built on Python's asyncio, supporting asynchronous, non-blocking operation for high concurrency. Real-time voice capabilities are included, with support for five voice backends (FastRTC, SIP, RTP, Twilio WebSocket, Local Audio) and a full audio pipeline featuring echo cancellation, automatic gain control, denoising, voice activity detection, DTMF, and diarization. Speech-to-text and text-to-speech integrations are available with providers such as Gemini Live, OpenAI Realtime, and ElevenLabs. For video and avatar applications, the framework offers vision provider integration, video pipelines with transformation stages, avatar synthesis, object detection, screen capture, and recording.

Advanced features include event-driven message sources, production resilience mechanisms like circuit breakers and rate limiting, and multiple memory strategies for conversation context management. RoomKit supports multi-agent orchestration with four declarative strategies—Pipeline, Swarm, Supervisor, and Loop—enabling flexible agent collaboration and handoffs, including in live voice scenarios. AI safety is addressed through layered guardrails, tool policies, chain depth limits, and audit trails. The framework is distributed as a Python package and is suitable for developers building scalable, AI-driven, multi-channel conversational applications.