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Soothe Nano — batteries-included Coding CoreAgent on deepagents

Project description

soothe-nano

A ready-to-run coding agent you can drop into a script or app.

Built on soothe-deepagents (filesystem, shell, subagents, skills, MCP). Nano adds the pieces you usually wire yourself: workspace safety, progressive tools/skills, research subagents, and a config-driven factory.

Vision

Give builders a production-shaped coding CoreAgent in a few lines of Python.

  • Start small — chat, tools, or full composition
  • Stay portable — embed in notebooks, CLIs, or your own service
  • Compose what you need — tools, memory, subagents, skills, and MCP via config

Architecture

soothe-deepagents   agent harness (FS, shell, memory, skills base)
        ↓
soothe-sdk          shared contracts (protocols, events)
        ↓
soothe-nano         coding CoreAgent + toolkits + subagents + MCP
create_nano_agent(config)
        │
        ├─ model + middleware stack
        ├─ tools (builtin groups + yours)
        ├─ subagents (planner, research, browser, …)
        ├─ skills (progressive discovery)
        └─ MCP (on-demand activation)

Features

Area What nano provides
Tools Builtin groups: shell, file ops, HTTP, search, data, …
Subagents Ready: plan, deep/academic research, browser
Skills / tools in context Progressive loading — activate what the turn needs
Workspace Scoped workspace + security defaults
Config YAML / SootheConfig factory
Memory Optional long-term memory via protocols
MCP Registry and on-demand adapters

vs deepagents

deepagents soothe-nano
What you get Opinionated harness Harness plus coding product defaults
Tools Bring your own Builtin groups out of the box
Subagents You define them Ready plan / research / browser
Skills / tools in context Base support Progressive loading
Workspace Pluggable backends Scoped workspace + security defaults
Config Code-first YAML / SootheConfig factory

Use deepagents when you want a minimal harness and full control.
Use nano when you want a coding agent that already knows how to work in a repo.

When to use nano

Scenario Fit
Coding assistant in a repo ✅ Files, shell, plan out of the box
Research / browsing agent ✅ Deep research, academic, browser subagents
Embed in your product ✅ Library API, no daemon required
Plugin / toolkit author ✅ Depends on nano only
Simple Q&A chat ✅ Strip tools/subagents as needed

Install

uv add soothe-nano

Quick start

from soothe_nano import create_nano_agent
from soothe_nano.config import SootheConfig

agent = create_nano_agent(SootheConfig())
# agent.ainvoke / streaming — see examples/

Examples live in examples/:

  1. Pure model (no tools)
  2. With tools
  3. With memory
  4. With subagents
  5. Full composition
python packages/soothe-nano/examples/01_pure_nano_example.py

Package layout

soothe_nano/
  agent/       CodingCoreAgent, create_nano_agent
  config/      SootheConfig
  toolkits/    Builtin tool groups
  subagents/   plan, research, browser, …
  middleware/  Progressive tools/skills, workspace, policy
  skills/      Catalog + progressive search
  mcp/         MCP registry / adapters
  backends/    Persistence helpers

Development

From packages/soothe-nano/:

make help              # list targets
make sync-dev          # sync deps
make format lint       # format + lint
make test-unit         # unit tests
make test-integration  # integration tests (--run-integration)
make examples          # run examples
make build             # build dist/

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