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

class Database:
    def __llm__(self):
        return f"Tables: {self.list_tables()}"  # AI sees this every turn

    def query(self, sql: str) -> list[dict]:
        """Execute SQL query"""
        return self.execute(sql)

    def describe(self, table: str) -> dict:
        """Get table schema"""
        return self.get_schema(table)

agent = Agentlys()
agent.add_tool(Database(conn))  # That's it. All methods are now AI tools.
agent.run("What drove revenue decline in Q3?")

pip install 'agentlys[all]'  # OpenAI + Anthropic + MCP

def get_weather(city: str) -> str:
    """Get current weather for a city"""
    return requests.get(f"https://wttr.in/{city}?format=3").text

agent.add_function(get_weather)

class FileSystem:
    def __init__(self, root: str):
        self.root = root

    def __llm__(self):
        """State shown to AI each turn"""
        return f"Current directory: {self.root}\nFiles: {os.listdir(self.root)}"

    def read(self, path: str) -> str:
        """Read file contents"""
        return open(f"{self.root}/{path}").read()

    def write(self, path: str, content: str):
        """Write to file"""
        open(f"{self.root}/{path}", 'w').write(content)

agent.add_tool(FileSystem("/workspace"))
# AI now sees file state, can read/write, all from one class

for message in agent.run_conversation("Refactor config.json to use environment variables"):
    print(message.content)

# Async conversation loop
async for message in agent.run_conversation_async("Analyze the data"):
    print(message.content)

# Single async call
response = await agent.ask_async("What tables exist?")

from agentlys import Agentlys
from agentlys_tools import CodeEditor, Terminal, Git

agent = Agentlys(
    instruction="You are a senior developer",
    provider="anthropic",
    model="claude-sonnet-4-20250514"
)

agent.add_tool(CodeEditor())
agent.add_tool(Terminal())
agent.add_tool(Git())

agent.run_conversation("Create a FastAPI app with tests")

# Anthropic (default)
agent = Agentlys(provider="anthropic", model="claude-sonnet-4-20250514")

# OpenAI
agent = Agentlys(model="gpt-4o")