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5 changes: 5 additions & 0 deletions CHANGELOG.md
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# Changelog

## 0.2.1

- Improve README onboarding, install, initialization, configuration, and logging docs.
- Update package and skill descriptions to avoid unclear repository-scope jargon.

## 0.2.0 (breaking)

**Breaking API change — drop leases, polling, and worker identity.**
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2 changes: 1 addition & 1 deletion README.md
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# loopy-loop

`loopy-loop` is a repo-local automation loop for long-running AI agent work.
`loopy-loop` runs long-running AI agent workflows inside your repository.
It turns a goal file in your repository into an inspectable sequence of agent
iterations: plan, implement, evaluate, record evidence, and continue until the
goal is met or the loop hits a terminal blocker.
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4 changes: 2 additions & 2 deletions pyproject.toml
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Expand Up @@ -4,8 +4,8 @@ build-backend = "hatchling.build"

[project]
name = "loopy-loop"
version = "0.2.0"
description = "A repo-local automation loop for AI agents built on team-harness."
version = "0.2.1"
description = "Run long-running AI agent workflows inside your repository."
readme = "README.md"
requires-python = ">=3.12"
license = "Apache-2.0"
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4 changes: 2 additions & 2 deletions skills/loopy-loop/SKILL.md
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---
name: loopy-loop
description: Set up and run loopy-loop, a repo-local automation loop that drives AI agents toward a goal across many iterations via a FastAPI coordinator and one or more workers. Use this skill when the user wants to install loopy-loop in a target repo, scaffold its config, define workflows, configure workflow scheduling/cadence, use session-scoped project_state or eval checks, or operate the coordinator/worker pair (start, monitor, stop, resume).
description: Set up and run loopy-loop, an automation loop inside a repository that drives AI agents toward a goal across many iterations via a FastAPI coordinator and one or more workers. Use this skill when the user wants to install loopy-loop in a target repo, scaffold its config, define workflows, configure workflow scheduling/cadence, use session-scoped project_state or eval checks, or operate the coordinator/worker pair (start, monitor, stop, resume).
---

# loopy-loop
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## Install

For end-user / repo-local use, install as a tool:
For end-user use in a target repository, install as a tool:

```bash
uv tool install loopy-loop
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2 changes: 1 addition & 1 deletion uv.lock

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