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Getting Started with AgenFleet

AgenFleet is an AI agent management platform. You bring the goals — AgenFleet provides the infrastructure to deploy, schedule, monitor, and control AI agents that work autonomously on your behalf.

This section gets you from zero to a running agent. By the end, you’ll understand what AgenFleet does, how to configure your first agent, and how to put it to work on a schedule.


AgenFleet is built for organizations that want to automate complex, judgment-based work — the kind that doesn’t fit neatly into a rigid workflow tool.

Good fits:

  • Businesses running repeatable research, analysis, or drafting tasks
  • Teams that want AI to monitor systems and surface insights on a schedule
  • Companies that need AI agents embedded in client-facing operations
  • Developers building AI-powered products for their own customers

Not a fit for:

  • Simple deterministic automation (use n8n, Zapier, or a cron script instead)
  • One-off AI queries (use the model API directly)

At its core, AgenFleet manages the full lifecycle of AI agents:

  1. Configure — give an agent a model, a personality (SOUL file), tools, and instructions
  2. Deploy — the platform provisions a containerized, isolated agent with its own memory and tool access
  3. Schedule — cron jobs trigger the agent with a prompt and deliver results via Telegram, Slack, or email
  4. Monitor — the dashboard tracks activity, cost, health, and output quality across the entire fleet

Every agent runs in its own isolated environment. Agents don’t share memory or context unless you explicitly connect them.


Quickstart

Deploy your first agent in under 5 minutes. Start here →

Key Concepts

Agents, sessions, tools, cron, fleet — the mental model explained. Read →

Your First Workflow

Set up a scheduled task end-to-end. Read →

Agents

Deep dive into configuration, identity, and tools. Read →