This release is a pre-release and may not be stable for production use.
kcastle-agent
A minimal OpenAI Responses Agent core with optional harness infrastructure.
from openai import AsyncOpenAI
from pathlib import Path
from kagent import Agent, Session
session = Session.create(Path.home() / ".kcastle" / "sessions")
agent = Agent(
client=AsyncOpenAI(),
model="gpt-5.6-sol",
instructions="You are a helpful agent.",
state=session.state,
commit=session.commit,
)
async for event in agent.run("Hello"):
print(event)
Agent is the brain: it owns causal State, the loop, steering, follow-ups, cancellation, events,
and compaction. kagent.harness surrounds it with Session persistence, an explicit Env, and
executable ToolRuntime adapters. User interfaces render events and provide approvals only.
When one model response contains multiple function calls, execute_tool may run concurrently;
custom executors must be safe for concurrent use.
1 maintainer
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