An agent in Qorven is a specialist with a job. You give it a name, tell it what to do in plain English, choose which tools it can use, and Qorven does the rest. Your agents run when you need them — in the background, on a schedule, or the moment a message arrives.
Your built-in team
Every Qorven install comes with a ready-to-use team of five agents. You can use them as-is, customise them, or add your own.| Agent | Role | What it does |
|---|---|---|
| Prime | Lead Agent | Your AI Chief of Staff. Understands your request, decides who handles it, and coordinates the work. |
| Researcher | Intelligence | Deep web research, source verification, structured briefings. |
| Developer | Engineering | Reads and writes code, runs tests, opens pull requests, fixes bugs. |
| Writer | Communications | Drafts emails, reports, social posts, and anything else that needs words. |
| Email Agent | Inbox Operations | Monitors your inbox, triages messages, drafts replies, sends with your approval. |
Prime: your lead agent
Prime is the agent you talk to by default. When you send a message, Prime decides what needs to happen and who should do it. Ask Prime anything. If the task needs research, Prime delegates to the Researcher. If it needs code written, the Developer picks it up. If it needs a well-written summary, the Writer handles it. You don’t have to think about which agent to use — Prime does that coordination for you.What each agent owns
Every agent has its own identity, memory, tools, and model. You can configure all of these:| Name & role description | How Prime identifies and routes work to this agent |
| Instructions | Plain-English directions — the agent’s “job description” |
| Model | Which AI model this agent uses (can differ from other agents) |
| Tools | Which built-in capabilities this agent can use |
| Memory | What this agent remembers from past conversations |
How agents run
Agents in Qorven don’t run constantly — they activate when there’s work to do. When a message arrives:- The agent loads its instructions, recent history, and relevant memories
- It calls the AI model with your message
- If it needs to use a tool (search the web, read a file, send an email), it does that and continues
- It sends back its reply and saves anything worth remembering for next time
Creating your own agents
You can create agents for anything specific to your work — a customer support agent, an agent that monitors your Slack, one that tracks your shipments, or one trained on your company’s internal docs.Create an agent
Step-by-step guide to building a new agent.
Write good instructions
How to write agent instructions that actually work.
Choose tools
What tools are available and how to control what each agent can do.
Agent memory
How agents remember things — and how to browse and edit those memories.