Agentfield

curl -fsSL https://agentfield.ai/install.sh | bash

The installer also drops the aforge coding harness beside af in ~/.agentfield/bin, so harness-backed agents work out of the box; skip it with --no-aforge.

On macOS the installer also registers the control plane to start at login (under launchd) and adds a menu-bar icon. Stop it with af service stop or the menu-bar icon — a plain kill looks like a crash and it restarts. af service status shows health and in-flight work; install with --no-tray to skip this entirely.

import asyncio
from agentfield import Agent, AIConfig
from pydantic import BaseModel

app = Agent(
    node_id="researcher",
    version="1.0.0",
    ai_config=AIConfig(model="anthropic/claude-sonnet-4-20250514"),
)

class SubQuestions(BaseModel):
    questions: list[str]

@app.reasoner(tags=["research"])
async def research(question: str, depth: int = 0, model: str | None = None) -> dict:
    if depth >= 3:
        answer = await app.ai(system="Answer directly and concisely.", user=question, model=model)
        return {"question": question, "answer": answer}
    plan = await app.ai(
        system="Break this into 3-5 independent sub-questions.",
        user=question, schema=SubQuestions, model=model,
    )
    branches = await asyncio.gather(*[
        app.call(f"{app.node_id}.research", question=q, depth=depth + 1, model=model)
        for q in plan.questions
    ])
    synthesis = await app.ai(system="Synthesize these findings.", user=str(branches), model=model)
    return {"question": question, "answer": synthesis, "branches": branches}

app.run()