Pydantic DeepAgents vs AutoGen (AG2)

from pydantic_deep import (
    create_deep_agent, create_default_deps,
    LocalBackend,
)

agent = create_deep_agent(
    model="openai:gpt-4.1",
    instructions="Research and summarize topics.",
    include_filesystem=True,
    include_subagents=True,
    include_memory=True,
    include_todo=True,
)

deps = create_default_deps(
    LocalBackend("./workspace")
)
result = await agent.run(
    "Research AI safety and summarize",
    deps=deps,
)

from autogen_agentchat.agents import AssistantAgent
from autogen_agentchat.teams import (
    RoundRobinGroupChat,
)
from autogen_agentchat.conditions import (
    TextMentionTermination,
)
from autogen_ext.models.openai import (
    OpenAIChatCompletionClient,
)

model = OpenAIChatCompletionClient(model="gpt-4o")
researcher = AssistantAgent(
    "researcher", model_client=model,
)
writer = AssistantAgent(
    "writer", model_client=model,
)
termination = TextMentionTermination("APPROVE")
team = RoundRobinGroupChat(
    [researcher, writer],
    termination_condition=termination,
)
result = await team.run(
    task="Research AI safety and summarize",
)