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Soothe

Goal-driven multi-agent orchestration framework (in-process host core).

Extends soothe-nano with StrangeLoop planning, durability, and Autopilot (daemon-dispatched). For a lightweight one-shot coding CLI on nano alone, see fj-ai.

Installation

Full runtime (daemon + CLI):

pip install soothe soothe-daemon soothe-cli

Library only (this package):

pip install soothe

What's in this package

Piece Role
SootheRunner Protocol orchestration + StrangeLoop stream (astream)
create_soothe_agent Host CoreAgent factory (planner/policy/memory wired)
SootheConfig Nano base + host overlay (nano.yml / soothe.yml)
StrangeLoop / Autopilot / CE / cron Host orchestration (Autopilot needs the daemon)

Quick example (StrangeLoop, non-autopilot)

In-process, fj-style one-shot — no daemon:

import asyncio
from soothe.config import SootheConfig
from soothe.runner import SootheRunner

async def main() -> None:
    config = SootheConfig.from_yaml_file("~/.soothe/config/nano.yml")
    runner = SootheRunner(config)
    try:
        async for _ns, mode, data in runner.astream("Summarize this repo"):
            if mode == "messages":
                print(data)  # (message, metadata)
    finally:
        await runner.cleanup()

asyncio.run(main())

Runnable script (loads ~/.soothe/config, SQLite defaults, prints progress):

uv run python examples/01_strange_loop_example.py

Pass autopilot_job=... only when embedding a daemon-dispatched worker goal. Interactive / library use should omit it so StrangeLoop runs the user query.

Related packages

Package Purpose
soothe-daemon Long-running server (HTTP/WS, channels, Autopilot dispatch)
soothe-cli Human CLI + Textual TUI
soothe-sdk Shared wire contracts and types
soothe-nano SootheNanoAgent (tools, skills, MCP)

Testing

uv run pytest packages/soothe/tests/unit/ -v

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