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Autonomous Agent Build powerful autonomous agents that can read, write, and execute code in your workspace. The AutonomousAgent class extends the base Agent with built-in filesystem and shell tools, automatic storage setup, and workspace sandboxing. It’s the ideal choice for coding assistants, DevOps automation, and any task requiring file or terminal access.

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Overview

AutonomousAgent inherits from Agent and comes pre-configured with:
  • Default InMemoryStorage: Automatic session storage without any configuration
  • Full Session Memory Enabled: Conversation history is preserved by default
  • Filesystem Toolkit for file operations (read, write, edit, search, etc.)
  • Shell Toolkit for terminal command execution
  • Workspace Sandboxing for security

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Key Features

  • Zero Configuration: Works out of the box with sensible defaults
  • Built-in System Prompt: Automatically configured with tool usage guidelines
  • Filesystem Tools: Read, write, edit, search, list, move, copy, delete files
  • Shell Commands: Execute terminal commands with timeout and output capture
  • Workspace Security: All operations sandboxed to the workspace directory
  • Read-Before-Edit: Enforces reading files before editing for safety
  • Inherits All Agent Features: Memory, policies, streaming, caching, and more

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Quick Example

from upsonic import AutonomousAgent, Task

# Create an autonomous agent with workspace
agent = AutonomousAgent(
    model="openai/gpt-4o",
    workspace="/path/to/project"
)

# The agent can read, write, and execute in the workspace
task = Task("Read the main.py file and explain what it does")
agent.print_do(task)
All file and shell operations are restricted to the workspace directory. Attempting to access files outside the workspace will be blocked for security.