Agent M

Agent M is a multi-agent LLM framework for building, orchestrating, and managing specialized AI agents. It is described as an enterprise master agent framework and is intended for situations where agents need to talk to customers, connect with data, call APIs, and automate business tasks in real time.

Its listed capabilities include session management, memory for long conversations, secure access controls, orchestration for integration with external systems, and support for both pre-defined and custom skills. The page names a no-code studio for creating custom skills and says agents can be launched with pre-defined skills such as answering FAQs, booking or scheduling meetings, taking and managing orders, handling support tickets, checking and updating calendars, and accessing CRM data. It also describes smart guardrails for reducing hallucinations, managing data privacy with PII redaction, and controlling agent behavior. A RAG cognitive search feature is included for answering questions from internal data, knowledge bases, or uploaded documents.

Agent M is presented as omnichannel and available across chat, voice, SMS/text, email, and 15+ digital platforms including Facebook Messenger, WhatsApp, Microsoft Teams, Telegram, and web. The page also mentions AI agent assist for voice, chat, or email, real-time guidance for agents, document intelligence for extracting, summarizing, and comparing documents, and multi-LLM compatibility, including ChatGPT or any other LLM. It further states that agents can be connected to CRM, ERP, or custom applications without coding.

The page refers to low-latency voice AI, multilingual support, robust environment handling for diverse accents and noisy environments, and analytics for tracking consumption, goals, AI usage, and success metrics. It also names a Service Terminal for testing agent behavior before deployment. No pricing or licensing details are given on the excerpted page.