Skip to main content
loopsmith

loopsmith

Self-evolving agent loops. The gate is code, so "done" cannot be argued.

PyPI license platforms python

pip install loopsmith-cli
loopsmith doctor

This distribution is a Rust binary, not a Python library. There is nothing to import. It installs a loopsmith command. To drive loops from Python, use subprocess — its exit codes are its API.

TL;DR:

You have a job you redo every week and are fussy about — a competitor roundup, a lead list, a landing page, a research brief. Write down what you want and how anyone would tell it's good, in one plain text file. loopsmith puts an AI to work on it, checks the result, sends it back when it falls short, and stops when it passes. It can run on a schedule for weeks without you.

The rule that makes it safe to walk away: the AI never gets to say "done". A deterministic checker reads the actual files and decides — and it can revoke, so a goal that stops being true stops being satisfied.

Not a developer? Marketing, sales, research, ops — if you can edit a text file, you can run a loop.

START-HERE — README-FOR-DUMMIES.md

A plain-English guide: one install line, thirteen ready-made loops to copy, the six settings you actually edit, and how to leave it running on a schedule.

What it is

You describe a purpose in a config — goals, how each is checked, what counts as success, when to stop, what the loop may never do. loopsmith handles scheduling, provider routing, memory, verification, and termination, and can run for weeks without you.

One rule holds the whole design up:

A model must not be the thing that certifies its own completion.

goal_satisfied is written by a deterministic Rust gate and by nothing else, and the gate can revoke: delete a required artifact and a satisfied goal flips back. A system that can only promote is a burndown chart with extra steps.

Five minutes

pip install loopsmith-cli

# --path must be outside any repo you care about: a loop edits files and writes
# state, so it does not get pointed at the tool that runs it.
loopsmith new --path ~/loops/nightly-refactor --purpose "keep the module simple"

cd ~/loops/nightly-refactor
$EDITOR loop.yaml           # your goals, and how each one is checked
loopsmith validate loop.yaml
loopsmith plan     loop.yaml
./run.sh                    # run.cmd on Windows

validate fails on purpose

error  pre_execution: 2 step(s) not marked done: Run this task manually end to
       end at least once; Write down what 'done' means in checkable terms.
       Automating before understanding produces fast, confident garbage

That refusal is the most valuable thing the tool does. Do the task by hand once — the manual run is the spec. Mark each pre_execution step done: true once you actually have.

What a config looks like

Ten sections, A to J: information, the manual work list, goals, validations, success criteria, stop gates, schedules, constraints, execution guidelines, default skills. YAML or Markdown — the same model either way.

name: nightly-refactor
description: keep the payments module simple without breaking it

pre_execution:
  - step: Ran the refactor by hand on one file and kept the diff
    done: true

goals:
  - name: simpler
    description: Cyclomatic complexity down, behaviour unchanged.

validations:
  - target: simpler
    name: tests-still-pass
    mode: objective
    statement: The suite exits clean.
    detector:
      type: script
      command: ./scripts/check-tests.sh
      expect_exit: 0
    blocking: true

success:
  - target: overall
    name: all-blocking-pass
    mode: percentage
    statement: Every blocking validation passes.
    threshold: 1.0

stop_gates:
  max_iterations: 8
  max_revisions_per_node: 3
  max_cost_usd: 5.0
  no_progress_iterations: 3

graph:
  nodes:
    - id: refactor
      role: builder
      instruction: Simplify one function. State any assumption you had to make.
      goals: [simpler]
      isolated: true          # its own git worktree
    - id: review
      role: judge
      instruction: Check the diff against the brief. Pass or fail per check, with evidence.
      depends_on: [refactor]
      goals: [simpler]
      tier: strong

Detectors are file_exists, regex, script, and composites. Only a detector can satisfy a goal — a model's opinion of its own work never does.

While it runs

Question Command
What does the gate say? loopsmith status <config> <run-id>
What happened? loopsmith ledger <config> <run-id>
Why did it stop? the last line of logs/<run-id>.log
What does it want changed about itself? loopsmith proposals <config> <run-id>
Which providers can it reach? loopsmith providers <config>
Will this machine get in the way? loopsmith doctor <config>

The loop never edits its own config. Changes to goals, validations, success criteria, and sub-agent adoption are written as proposals for a human to apply.

Providers and BYOK

Every provider is a command template, which is what makes bring-your-own-key free: Claude Code, Ollama, a Grok CLI, an OpenAI-compatible endpoint driven by curl, an MCP server over stdio — all of them are "a program you run with a prompt". Adding one is a config edit, never a rebuild.

requires_env names variables that must exist. loopsmith never reads their values, so a key cannot reach a prompt, a log, or the ledger.

⚠ Never paste an API key into a chat window, a config file, or an issue. If one ends up somewhere it should not be, rotate it — deleting the message is not enough.

How this distribution installs the binary

The binary is fetched on first run, not during pip install, and cached under ~/.loopsmith/bin/<version>/ (override with LOOPSMITH_HOME).

That is deliberate. A wheel that downloads at install time breaks in every environment that installs without a network and runs with one — CI images, Docker build stages, locked-down build hosts — and the failure surfaces as an install error for a package the user has not tried to use yet.

Every download is verified against the release's published SHA256SUMS before it is executed. Fetching a binary and running it unverified is a supply-chain hole with a progress bar.

Prebuilt for:

Platform Target
Linux x86_64 (glibc) x86_64-unknown-linux-gnu
Linux x86_64 (musl, auto-detected) x86_64-unknown-linux-musl
Linux arm64 aarch64-unknown-linux-gnu
macOS Intel x86_64-apple-darwin
macOS Apple silicon aarch64-apple-darwin
Windows x86_64 x86_64-pc-windows-msvc

Anywhere else, build from source — it is the same program:

cargo install loopsmith

The distribution name

loopsmith on PyPI was already registered by an unrelated project, so this distribution is loopsmith-cli. The installed command is loopsmith either way. Elsewhere: loopsmith on crates.io, @bitphill/loopsmith on npm, and the bitphill/loopsmith Homebrew tap.

Documentation

MIT licensed. © bitphill

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

loopsmith_cli-0.1.4.tar.gz (8.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

loopsmith_cli-0.1.4-py3-none-any.whl (9.1 kB view details)

Uploaded Python 3

File details

Details for the file loopsmith_cli-0.1.4.tar.gz.

File metadata

  • Download URL: loopsmith_cli-0.1.4.tar.gz
  • Upload date:
  • Size: 8.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.11.15

File hashes

Hashes for loopsmith_cli-0.1.4.tar.gz
Algorithm Hash digest
SHA256 7860a5c22a7ce65e26f1b82d9292d7057172bfd1f6b5be0e8aee8696bfec48f3
MD5 7ad5e36397a85c1e644c8e3dc96bb8ef
BLAKE2b-256 bc0a4a34be0d099c7bb96251b342f7d64f129631f74c30ae783d57aea05d4e94

See more details on using hashes here.

File details

Details for the file loopsmith_cli-0.1.4-py3-none-any.whl.

File metadata

  • Download URL: loopsmith_cli-0.1.4-py3-none-any.whl
  • Upload date:
  • Size: 9.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/7.0.0 CPython/3.11.15

File hashes

Hashes for loopsmith_cli-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 26b90463a5fe47d9a4aa83ad0f0a3968f470905fa257525f834e0a6b502f18bd
MD5 f32ea68681207c666feb8271ed9476f4
BLAKE2b-256 b583a2f12eb7246a78ec33c7253ac8675ac04c619bbf95cc0a20452320dd3f25

See more details on using hashes here.

Release history Release notifications | RSS feed

0.3.1

2 files

0.3.0

2 files

0.2.2

2 files

0.2.1

2 files

0.2.0

2 files

This release

0.1.4 This release

2 files

0.1.3

2 files

0.1.2

2 files

0.1.1

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page