---
title: "Autonomous Agent | AgentRQ Glossary"
url: https://agentrq.com/glossary/autonomous-agent
description: "An autonomous agent is an AI system that independently executes long-horizon tasks with minimal human intervention, making decisions and using tools to achieve goals on its own."
---

[Back to Glossary](https://agentrq.com/glossary/)

# Autonomous Agent

An **autonomous agent** is an AI system capable of independently executing long-horizon tasks with minimal human intervention. It perceives its environment, plans a course of action, uses tools to execute that plan, and adapts based on results — all without requiring a human to direct each individual step.

## What Makes an Agent "Autonomous"

Autonomy in AI agents exists on a spectrum:

| Level | Description | Example |
| --- | --- | --- |
| Assisted | Human approves every action | Agent suggests, human executes |
| Semi-autonomous | Human approves key decisions | Agent works freely, pauses at checkpoints |
| Fully autonomous | Agent acts end-to-end | Agent completes task, notifies when done |

Most production agents today operate in the semi-autonomous range — capable of significant independent work but with [human-in-the-loop](https://agentrq.com/glossary/human-in-the-loop) oversight at critical points.

## Autonomous Agents in Software Development

[Claude Code](https://agentrq.com/glossary/claude-code) is a prime example of an autonomous coding agent. Given a task like "fix all failing tests," it will:

1. Read the test output
2. Identify failing tests and their causes
3. Edit source files to fix the issues
4. Re-run tests to verify
5. Repeat until all tests pass

This entire loop happens autonomously — no human needs to direct each file read or edit.

## The Role of AgentRQ

Full autonomy without oversight is risky. AgentRQ connects autonomous agents to their human principals via [MCP](https://agentrq.com/glossary/mcp), providing a real-time channel for [notifications](https://agentrq.com/glossary/notification), [approvals](https://agentrq.com/glossary/approval), and [bidirectional messaging](https://agentrq.com/glossary/bidirectional-messaging). This allows agents to operate autonomously while humans retain meaningful control over consequential decisions.

## Autonomous Agents vs. Agentic Workflows

An agentic workflow and an autonomous agent answer different questions. Whether the steps are fixed in code or chosen by the model is the workflow vs. agent question; whether a human approves those steps is the autonomy question. See [autonomous agents vs. agentic workflows](https://agentrq.com/blog/autonomous-agents-vs-agentic-workflows-the-real-difference) for the full comparison, and [autonomous workflow](https://agentrq.com/glossary/autonomous-workflow) for the term itself.

## Related Terms

- → [Agent](https://agentrq.com/glossary/agent)
- → [Agentic Workflow](https://agentrq.com/glossary/agentic-workflow)
- → [Human-in-the-Loop](https://agentrq.com/glossary/human-in-the-loop)
- → [Tool Use](https://agentrq.com/glossary/tool-use)
- → [Operator](https://agentrq.com/glossary/operator)
- → [Autonomous Workflow](https://agentrq.com/glossary/autonomous-workflow)