Use Cases

Agent Fabric enables a new era of agent interoperability, allowing you to build powerful, multi-agent systems that can automate complex workflows and drive unprecedented levels of efficiency and innovation. By allowing agents to collaborate, you can create solutions that are far more capable than any single agent.

How It Works: A Collaborative Framework

Agent Fabric facilitates communication between a "client" agent and a "remote" agent.

• A client agent is responsible for formulating and communicating tasks.
• A remote agent is responsible for acting on those tasks to provide the correct information or take the correct action.

This interaction involves several key capabilities:

• Capability Discovery: Agents can advertise their capabilities using an "Agent Card" (a JSON file). This allows the client agent to identify the best remote agent for a given task.
• Task Management: The communication between agents is oriented towards task completion. A "task" is a defined object with a lifecycle. It can be completed immediately, or for long-running tasks, the agents can communicate to stay in sync on the status. The output of a task is known as an "artifact."
• Collaboration: Agents can send messages to each other to communicate context, replies, artifacts, or user instructions.

Real-World Example: Streamlining the Hiring Process

Hiring a software engineer can be significantly simplified with Agent Fabric.

1. Initiation: A hiring manager tasks their "recruiting agent" to find candidates for a specific role, providing the job description, location, and required skills.

2. Collaboration & Candidate Sourcing: The recruiting agent (the "client agent") discovers and interacts with several specialized "remote agents":

   • It connects to an HR System Agent to create a new job requisition.
   • It queries a LinkedIn Agent to source potential candidates who match the job criteria.
   • It interacts with a Greenhouse Agent to manage the candidate pipeline.

3. Candidate Review & Interviewing: The recruiting agent presents a list of qualified candidates to the hiring manager. The hiring manager can then instruct the agent to:

   • Schedule interviews with the selected candidates by coordinating with a Calendar Agent.
   • Send confirmation emails to the candidates and interviewers via an Email Agent.

4. Background Checks & Onboarding: After the interviews, the recruiting agent can engage another remote agent to facilitate background checks. Once a candidate is selected, the agent can kick off the onboarding process by interacting with an IT Agent to provision a new laptop and a Workday Agent to create a new employee profile.

This example demonstrates how a network of collaborative agents can automate a complex, multi-step process, freeing up the hiring manager to focus on more strategic tasks. This is just one example of how AI agents can collaborate across systems to achieve a goal. The possibilities are endless.