GitHub - myriade-ai/agentlys: Lightweight AI agent library. Turn Python functions/classes into AI tools instantly. No verbose configs or complex abstractions.

from agentlys import Agentlys
# pip install 'agentlys-tools[all]'
from agentlys_tools.code_editor import CodeEditor
from agentlys_tools.terminal import Terminal

# Create a developer agent
agent = Agentlys(
    instruction="""You are a developer agent equipped with tools to:
    1. Edit code files
    2. Run terminal commands
    3. Test and debug applications""",
    provider="anthropic",
    model="claude-sonnet-4-20250514",
    name="Developer"
)

# Add development tools
code_editor = CodeEditor()
agent.add_tool(code_editor)

terminal = Terminal()
agent.add_tool(terminal)

# The agent can now autonomously develop, test, and deploy code
for message in agent.run_conversation("Create a FastAPI hello world app with tests"):
    print(message.to_markdown())

pip install 'agentlys[all]'

# OpenAI only
pip install 'agentlys[openai]'

# Anthropic only
pip install 'agentlys[anthropic]'

# With MCP support (Python 3.10+)
pip install 'agentlys[mcp]'

from agentlys import Agentlys

def get_weather(city: str) -> str:
    return f"Sunny in {city}"

agent = Agentlys()
agent.add_function(get_weather)
agent.ask("What's the weather in Tokyo?")

import os

class FileManager:
    def __llm__(self):
        return "Files:\n" + "\n".join(os.listdir(self.directory))

    def read_file(self, path: str) -> str:
        """Read a file
        Args:
            path: Path is relative to the directory or absolute
        """
        with open(path) as f:
            return f.read()

    def write_file(self, path: str, content: str):
        with open(path, 'w') as f:
            f.write(content)

file_manager = FileManager()
agent = Agentlys()
agent.add_tool(file_manager)

# AI can now read/write files
for msg in agent.run_conversation("Read config.json and update the port to 8080"):
    print(msg.content)

from agentlys import Agentlys, Message
from PIL import Image

agent = Agentlys()
image = Image.open("examples/image.jpg")
message = Message(role="user", content="Describe this image", image=image)
response = agent.ask(message)

# Load agent from markdown template
agent = Agentlys.from_template("./agent_template.md")

# Async operations
response = await agent.ask_async("Hello")
async for message in agent.run_conversation_async("Help me code"):
    print(message.content)

# Set up your API keys
export OPENAI_API_KEY="your-key"
export ANTHROPIC_API_KEY="your-key"

# Choose your model (optional)
export AGENTLYS_MODEL="claude-sonnet-4-20250514"  # or gpt-5-mini