Why use the AMS?
- Collaboration: You and your team can build & improve agents in a shared space.
- Simple management: No need to code - build complex workflows easily, add new tools, change agent behavior, and more.
- Easy debugging and improving: Live dashboards let you spot misbehaving agents or workflows quickly and make fast improvements.
- Rapid prototyping: Create and test agents in a fraction of the time, then put them in front of real users for quick feedback.
AMS Key Components
Agents
Agents are intelligent, autonomous units designed to perform specific tasks, make decisions based on their defined role and objectives, and use available workflows to achieve outcomes. Each agent acts like a subject matter expert, tailored for a particular function. Learn more about AgentsKnowledge Contexts
Knowledge Context is a foundational system that equips agents with access to the right information when they need it. It works like a dynamic reference library, bundling relevant content together so agents can retrieve facts, files, or insights while helping users. Learn more about Knowledge ContextsMCP Servers
MCP stands for Model Context Protocol - think of it as a “universal translator” that lets AI agents talk to different tools, data sources, and systems in a consistent way. MCP servers standardize how AI agents exchange information with external systems.It helps you bundle information, workflows, and tools (actions and information agents can access) into one system that your agents can use. Learn more about MCP Servers
Workflows
Workflows transform how you build agent capabilities - instead of complex development, you describe what you want your agent to do in natural conversation, and the system generates functional tools automatically. Learn more about WorkflowsDashboard
The Dashboard is where you can preview and deploy your agents.You can also monitor and interact with live agents, manage your human collaborators, and handle your APIs. Learn more about Deployment