Quickstart
This guide walks you through signing up, creating your first agent, and seeing it respond — in under five minutes.
Prerequisites
Section titled “Prerequisites”- An AgenFleet account (sign up at agenfleet.ai)
- An Anthropic API key (or other supported provider) — agents use your own key; token costs go directly to your provider account
- A Telegram account (for receiving agent output — optional but recommended)
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Log in and connect your API key
Go to portal.agenfleet.ai and sign in. First-time users land on the onboarding wizard — it takes about 90 seconds to complete. During onboarding you’ll add your Anthropic API key under Settings → Integrations. This is how your agents access AI models — token costs go directly to your Anthropic account.
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Create your first agent
From the dashboard, click New Agent. Give it a name (e.g.,
Research Assistant) and select a role template. Templates pre-configure the model, tools, and a starter SOUL file so you don’t need to start from scratch.Available starter templates:
- Research Assistant — web search, summarization, report drafting
- Ops Monitor — system health checks, alerting, log analysis
- Content Writer — drafting, editing, scheduling social posts
- Data Analyst — data summarization, trend detection, charting
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Review the configuration
The wizard shows you the generated config. Key fields to check:
- Model — defaults to Claude Haiku 4.5 (fast, cost-efficient). Upgrade to Sonnet or Opus for complex tasks.
- Instructions — a short paragraph telling the agent what it does. Edit this to match your use case.
- Tools — which capabilities the agent has access to (web search, file access, etc.)
Click Save Agent when ready.
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Send your first message
In the agent’s chat panel, type a prompt and hit send. For example:
Summarize the top 3 AI industry news stories from today.The agent will respond within a few seconds. You’re talking to a live, deployed AI agent.
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Connect a notification channel (optional but recommended)
Go to Settings → Notifications and link your Telegram account or Slack workspace. Once connected, any scheduled task output from this agent will be delivered directly to you.
What just happened?
Section titled “What just happened?”When you clicked Save Agent, AgenFleet:
- Provisioned a containerized agent process on isolated infrastructure
- Loaded your SOUL file (the agent’s identity and instructions) into its context
- Set up a private memory store for the agent
- Exposed it for real-time chat and scheduled cron jobs
Your agent is now live and ready to be put on a schedule.
Next steps
Section titled “Next steps”- Key Concepts — understand agents, sessions, and the fleet model
- Your First Workflow — put your agent on a schedule
- Agent Configuration — full reference for every config option