Agent Creator

Create, configure, and deploy AI agents without code

Agent Creator is your workspace for building AI agents. Whether you need a simple Q&A assistant or a sophisticated agent with tools and knowledge bases, Agent Creator provides everything in one place.

What You Can Do

Discover Agents

Browse available agents, find ones shared with you, and start conversations

Create Agents

Build new agents from scratch or import existing configurations

Add Capabilities

Connect tools, knowledge bases, and integrations to extend what your agent can do

Test & Evaluate

Chat with your agent in the playground and run evaluations to measure quality

The Agent Workspace

When you open Agent Creator, you’ll see:

• Agent Gallery - All agents you have access to, with filters for “My Agents”, “Shared with Me”, and “All”
• Quick Stats - Total agents, published count, conversations, and messages
• Recent Activity - Track what’s happening across your agents

Click any agent to open its workspace, where you can:

1. Overview - See agent status, profile, and key metrics at a glance
2. Instructions - Define how your agent behaves through system prompts
3. Capabilities - Add tools (APIs, integrations) and knowledge (document stores)
4. Playground - Test conversations with your agent in real-time
5. Evaluate - Create test cases and run quality evaluations
6. Analytics - View usage metrics, performance, and user feedback
7. Settings - Configure retention, sharing, memory, and safety guardrails

Agent Profiles

Agents are created with a profile that determines their capabilities. Profiles are graduated levels of complexity:

Profile	Level	Agentic Loop	Planning	Reflection	Memory	Tools	Max Turns	Token Budget
simple	1	No	No	No	Working	Knowledge only	1	4K
workflow	2	No	No	No	Working + Session	Knowledge + Custom	1	8K
agent_light	3	Yes	No	No	Working + Session	System (todo, budget) + Knowledge + Custom	10	20K
agent_full	4	Yes	Yes	Yes	All (incl. long-term)	All system + Knowledge + Custom	30	100K
orchestrator	5	Yes	Yes	Yes	All	All + Delegation	50	200K

Simple

Direct LLM call with optional RAG. No tool use, no multi-turn reasoning. Best for FAQ bots, document summarization, simple Q&A with a knowledge base.

Workflow

Orchestrated prompt chains with predefined logic. Supports custom tools but no autonomous decision-making. Best for multi-step form processing, document validation pipelines, content generation with review.

Agent Light

Basic ReAct loop — the agent can reason and use tools iteratively, but without planning or reflection. Best for research assistants, data lookup, interactive troubleshooting.

Agent Full

Full agentic capabilities: planning before execution, reflection after each step, long-term memory across conversations, action approval guardrails. Cost budget: $1/conversation. Best for complex report generation, autonomous research, tasks requiring human approval.

Orchestrator

Extends agent_full with multi-agent delegation. Can discover and delegate to other agents, with a maximum delegation depth of 3. Cost budget: $5/conversation. Best for multi-domain analysis, hierarchical task decomposition.

Start with a simpler profile. You can always upgrade later as your needs grow.

Publishing & Sharing

Agents have two states:

• Draft - Work in progress, only visible to you
• Published - Live version that others can use

When you publish, you choose visibility:

• Public — The agent appears in the agent store and is accessible to all users in the organization. Anyone can start a conversation.
• Restricted — The agent description appears in the agent store but is only accessible to users or groups that have been explicitly granted access.

Changes to a published agent are saved as drafts until you publish again, so users always see a stable version.

Access Control

An agent owner can share their agent with specific users or groups. Each share creates a binding that grants access. Bindings can target:

• A single user — by user ID
• A group — by group ID, granting access to all members

When a group is deleted, all bindings referencing it are automatically cleaned up.

Access Requests

Users who discover a restricted agent can request access:

1. The user submits an access request on the agent
2. The agent owner sees the pending request
3. The admin approves or rejects the request
4. On approval, a binding is created and the user gains access immediately

Next Steps

1. Discover existing agents

   Browse what’s already available in your organization.

   Explore agents →

2. Create your first agent

   Build a simple assistant to learn the basics.

   Create an agent →

3. Add capabilities

   Connect knowledge bases and tools to make it useful.

   Add capabilities →