Create an Agent
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Creating an agent is the first step to building a conversational AI experience. Each agent is an independent workspace — with its own knowledge base, settings, and conversation history.
- Open the SynapsAI console at console.synapsai.app.
- Click Agents in the sidebar.
- Click Create Agent.
- Fill in the details:
| Field | Description |
|---|---|
| Name | A display name for the agent (e.g., “Support Bot”, “Sales Assistant”). Visible to operators in the console. |
| Language | The default language for the agent’s responses. Users can still write in other languages — the agent will detect and respond accordingly. |
- Click Create.
You’ll be redirected to the agent’s configuration page, where you can start adding knowledge and configuring behavior.
What happens when you create an agent
Section titled “What happens when you create an agent”Behind the scenes, SynapsAI provisions isolated resources for the new agent:
- A dedicated knowledge base index for vector search (RAG).
- A conversation store to track all interactions.
- An isolated configuration space for the system prompt, model, and extensions.
- Infrastructure resources for message processing.
This takes a few seconds. Once complete, the agent is ready to configure.
After creation
Section titled “After creation”A new agent starts empty — no knowledge, no behavior rules, and no channels connected. Follow these steps to make it useful:
- Add knowledge — go to Knowledge Base and upload documents, paste text, or add website URLs.
- Write a system prompt — go to Configure Behavior and define the agent’s personality, tone, and boundaries.
- Choose a model — go to Model Selection and pick the LLM that fits your needs.
- Test it — open the Playground and send test questions.
- Connect a channel — set up Live Chat or WhatsApp.
For a complete walkthrough, see Create Your First Agent.
Limits
Section titled “Limits”The number of agents you can create depends on your plan. Check Plans & Billing for details.
Next steps
Section titled “Next steps”- Configure Behavior — define how the agent responds.
- Model Selection — choose an AI model.
- Agent Settings — fine-tune operational parameters.