Built on LangGraph, this toolkit orchestrates AI agents within LiveKit rooms, capturing audio streams, transcribing speech via Whisper, and generating contextual replies using popular LLMs like OpenAI or local models. Developers can define event-driven triggers and dynamic workflows using LangGraph’s declarative orchestration, enabling use cases such as Q&A handling, live polling, real-time translation, action item extraction, or sentiment monitoring. The modular architecture supports seamless integration, extensibility for custom behaviors, and effortless deployment in Node.js or browser-based environments with full API access.

Nexto utilizes advanced AI algorithms to analyze your email threads and call transcripts. By extracting key action items, it converts them into tasks that can be directly integrated into your to-do list. This feature excels in personal and professional contexts, allowing users to prioritize and manage their tasks efficiently. Nexto is ideal for busy professionals seeking to streamline their workflow and ensure that no vital tasks fall through the cracks.

Zeta is a cloud-based AI agent platform that empowers businesses to automate knowledge and workflow management. It uses natural language processing to listen to meetings, generate concise summaries with action items, and maintain a searchable knowledge base. By integrating with corporate data sources—such as CRM, email, calendars, and document repositories—Zeta can answer employee queries accurately and generate custom reports instantly. Users can also automate routine communications, including email drafting and status updates, through intelligent templates. With built-in security and compliance controls, Zeta ensures sensitive data remains protected while enabling real-time collaboration across Slack, Microsoft Teams, and web interfaces. Its intuitive dashboard allows administrators to configure data connectors, monitor usage analytics, and tailor the agent’s responses to organizational policies.

RedNote is an open-source AI agent built with Python and LangChain that lets users input raw text or document files for automated processing. It leverages large language models to generate concise summaries, extract action items, identify key insights, and categorize information. The agent maintains context across sessions using built-in memory storage, supporting cumulative knowledge building. Users can pose follow-up questions to refine or expand summaries, and the system can export results as structured markdown files. RedNote’s modular architecture and plugin system enable integration with external services like Notion or Obsidian. This end-to-end solution enhances note-taking, research synthesis, and knowledge management for individuals and teams.