Agents
Agents are the core building blocks of SynapsAI. Each agent is an isolated workspace with its own knowledge base, behavior configuration, extensions, and conversation history. You can run multiple agents under a single account — one per brand, department, or use case.
What is an agent?
Section titled “What is an agent?”An agent is an AI-powered assistant that:
- Answers questions using a knowledge base you provide (RAG).
- Follows rules defined in a system prompt — tone, boundaries, fallback behavior.
- Connects to channels like your website (Live Chat), WhatsApp, or the API.
- Uses extensions to perform actions like booking appointments or looking up products.
- Hands off to humans when it can’t resolve a question.
Each agent is completely isolated. Documents uploaded to one agent are not visible to another. Conversations, settings, and extensions are all agent-specific.
Agent lifecycle
Section titled “Agent lifecycle”- Create — give it a name and language. See Create an Agent.
- Add knowledge — upload documents, FAQs, and website content. See Knowledge Base.
- Configure behavior — write a system prompt and choose a model. See Configure Behavior.
- Test — use the Playground to verify response quality.
- Deploy — connect channels like Live Chat or WhatsApp.
- Monitor — review Conversations and dashboard metrics.
- Iterate — refine knowledge, adjust the prompt, add extensions.
Managing multiple agents
Section titled “Managing multiple agents”If you need separate agents for different purposes, you can create as many as your plan allows. Common setups:
| Scenario | Agents |
|---|---|
| Single product, one audience | 1 agent |
| Multiple brands under one company | 1 agent per brand |
| Support + Sales separation | 1 agent per function |
| Agency managing multiple clients | 1 agent per client |
Switch between agents using the Agents list in the sidebar. Each agent has its own dashboard, knowledge base, and settings.
Agent-level sections
Section titled “Agent-level sections”Once you select an agent, the sidebar shows these sections:
- Dashboard — metrics and activity overview.
- Knowledge Base — documents and sources that power RAG.
- FAQ — structured question-and-answer pairs.
- Playground — test your agent in real time.
- File Inventory — manage uploaded files.
- Catalog — product and service items.
- Conversations — review past and active chats.
- Triggers — automation rules.
- Extensions — third-party integrations.
- Operators — team members and roles.
- Agent Settings — model, prompt, and configuration.
Next steps
Section titled “Next steps”- Create an Agent — step-by-step guide.
- Configure Behavior — define personality and rules.
- Model Selection — choose the right LLM.
- Agent Settings — fine-tune parameters.