Metadata-Version: 2.4
Name: agro
Version: 0.1.7
Summary: CLI wrapper for CLI-agents
Author-email: Will Sutton <wsutton17@gmail.com>
License: MIT
Project-URL: Homepage, https://github.com/sutt/agro
Requires-Python: >=3.9
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: PyYAML
Provides-Extra: dev
Requires-Dist: build>=1.2.2.post1; extra == "dev"
Requires-Dist: twine>=6.1.0; extra == "dev"
Provides-Extra: test
Requires-Dist: pytest>=8.4.1; extra == "test"
Dynamic: license-file

# Agro

A script to manage git worktrees for agent-based development. This tool simplifies creating, managing, and running processes within isolated worktrees, each with its own environment configuration.

[![PyPI version](https://img.shields.io/pypi/v/agro)](https://pypi.org/project/agro/)

- **View [Docs](./docs)**
- **View [Case Studies](./docs/case-studies/)**
- **View [AI Dev Log](./docs/dev-summary-v1.md)**

---

**Agro is** *simple*, *powerful*, *flexible* and *open-source*.

- **Simple:** get started with a pip install and two commands. 
    - No signups, free trials or api keys needed. 
    - Works in your terminal with git, no new tools to learn.
- **Powerful:** compare the results of different coding agents.
    - Run agents in parallel with built in support for environment reproduction and unique env vars.
- **Flexible:** works with multiple different cli agents, models, and IDE / editors.
    - Works with all IDE's including: VSCode, Vim, Emacs, Cursor, and others.
- **Open-source:** avoid lock-in and subscriptions for your development environment.
    - Agro is command line and always opensource. You can modify at will and share with others.
    - Agro uses git under the hood so you can always substitue any or all parts of the recommended workflow with your own bash or git commands.
    

**There is no magic**, it's just shell calls to _git, claude, aider, ps, etc_. 
 - Since git's not going anywhere you'll always have support for your workflow, and
 - Wrapping coder-agents allows drop-in addition or replacement as they become available.

So you can take agro to your nineteen side-projects and four remote jobs, and it will work everywhere.

---

**Supported Agents:** _aider, claude code, gemini cli_
- Shared context files
- Customizable agent behavior

**Supported Models:** _Anthropic, OpenAI, Google, Grok4 and more_

---
**Agro-Builds-Agro:** If you think vibe-coding can't stand-up to multiple iterations, this is your chance to think again. Agro is 150 commits and going strong (roughly 80% ai generated). See the [Dev Log](./docs/dev-summary-v1.md) and [Case Studies](./docs/case-studies) to see a record of all the prompts and their accepted solutions.

---

## Quickstart

Install with `pip` or `uv tool`:

```bash
pip install agro
# or
uv tool install agro
```

#### Local Development Install
You can install this tool and its dependencies from the local clone of the project directory using `uv`: 

```bash
git clone git@github.com:sutt/agro.git"
cd agro
uv tool install . --no-cache
```

For local dev updates run the `./redeploy` script to reinstall the local repo as `agro`.

---

### At a Glance - Hello, World!

**Also see the [case studies](./docs/case-studies/aba-1.md) for more advanced guidance on using this tool**

**0. Clone the Demo Repo**

```bash
git clone git@github.com:sutt/agro-demo.git
cd agro-demo

uv sync
```

**1. Launch four agents in parallel**

_Agro is configured to use aider by default. Add the name of the coding agent you have installed as the argument to use the one you have installed._

```bash
$ agro exec add-about 2       # launch two agents of aider 
$ agro exec add-about claude  # if you have claude-code installed
$ agro exec add-about gemini  # if you have gemini installed
```
This repo comes with tasks in `.agdocs/specs` including the spec

**add-about.md**
>add an about page and route
add a unique message of encouragment to the about page
add a test 
run the test to make sure it passes before exiting

**Basic Output**
- notice the git worktree / branch management + launch of aider, claude and gemini

```bash
♻️  Cleanup for index 1 complete.
🏃 Agent for index 1 started successfully.
   Worktree: /home/user/dev/agro/agro-demo/trees/t1
   Task file: /home/user/dev/agro/agro-demo/.agdocs/specs/add-about.md
   Branch: output/add-about.1
   Agent type: aider
   Initial commit SHA: 31ad99
   Start time: 2025-07-18 09:12:20
♻️  Cleanup for index 2 complete.
🏃 Agent for index 2 started successfully.
   Worktree: /home/user/dev/agro/agro-demo/trees/t2
   Task file: /home/user/dev/agro/agro-demo/.agdocs/specs/add-about.md
   Branch: output/add-about.2
   Agent type: aider
   Initial commit SHA: 31ad99
   Start time: 2025-07-18 09:12:20

♻️  Cleanup for index 3 complete.
🏃 Agent for index 3 started successfully.
   Worktree: /home/user/dev/agro/agro-demo/trees/t3
   Task file: /home/user/dev/agro/agro-demo/.agdocs/specs/add-about.md
   Branch: output/add-about.3
   Agent type: claude
   Initial commit SHA: 31ad99
   Start time: 2025-07-18 09:13:13

♻️  Cleanup for index 4 complete.
🏃 Agent for index 4 started successfully.
   Worktree: /home/user/dev/agro/agro-demo/trees/t4
   Task file: /home/user/dev/agro/agro-demo/.agdocs/specs/add-about.md
   Branch: output/add-about.4
   Agent type: gemini
   Initial commit SHA: 31ad99
   Start time: 2025-07-18 09:13:27
```

Now you should see multiple branches created, one for each agent:

```bash
$ git branch
* master
+ output/add-about.1
+ output/add-about.2
+ output/add-about.3
+ output/add-about.4
```

**2. Launch Server on each worktree**

```bash
agro muster --server 'uv run python app/main.py' output
```
- The argument `--server` allows detach mode to run multiple servers out of one shell.

**Output**

```bash
agro muster --server 'uv run python app/main.py' output

--- Running command in t1 (output/add-about.1) ---
$ uv run python app/main.py > server.log 2>&1 & echo $! > server.pid

--- Running command in t2 (output/add-about.2) ---
$ uv run python app/main.py > server.log 2>&1 & echo $! > server.pid

--- Running command in t3 (output/add-about.3) ---
$ uv run python app/main.py > server.log 2>&1 & echo $! > server.pid

--- Running command in t4 (output/add-about.4) ---
$ uv run python app/main.py > server.log 2>&1 & echo $! > server.pid
```

**Check About Page Contents**
_You could do this in browser as well_

```bash
# check worktree t1 - aider agent (#1)
curl http://127.0.0.1:8001/about
# {"message":"Keep up the great work!"}

# check worktree t2 - aider agent (#2)
curl http://127.0.0.1:8002/about
# {"message":"You are doing great!"}

# check worktree t3 - claude agent
curl http://localhost:8003/about
# {"message":"🌱 Every great journey begins with a single step. You're already on your way to something amazing!","title":"About AgSwap","description":"Welcome to AgSwap - where agricultural innovation meets community collaboration."}

# check worktree t4 - gemini agent
curl http://localhost:8004/about
# {"message":"Keep up the great work, you're awesome!"}

```

Now clean up the server:

```bash
# run muster with --kill-server to take it down each worktree
$ agro muster --kill-server '' output

--- Running command in t1 (output/add-about.1) ---
$ kill $(cat server.pid) && rm -f server.pid server.log

--- Running command in t2 (output/add-about.2) ---
$ kill $(cat server.pid) && rm -f server.pid server.log

--- Running command in t3 (output/add-about.3) ---
$ kill $(cat server.pid) && rm -f server.pid server.log

--- Running command in t4 (output/add-about.4) ---
$ kill $(cat server.pid) && rm -f server.pid server.log

# checking agent1's worktree env, we see the server is no longer responding
$ curl http://localhost:8001
curl: (7) Failed to connect to localhost port 8001 after 0 ms: Connection refused
```

**3. Checking tests**

We run our existing tests with:

```bash
$ uv run pytest -q
3 passed in 0.28s
```

So we see have 3 existing tests, now let's check the output of our agents:

```bash
$ agro muster 'uv run pytest -q' output

--- Running command in t1 (output/add-about.1) ---
$ uv run pytest -q
4 passed in 0.25s

--- Running command in t2 (output/add-about.2) ---
$ uv run pytest -q
4 passed in 0.28s

--- Running command in t3 (output/add-about.3) ---
$ uv run pytest -q
4 passed in 0.25s

--- Running command in t4 (output/add-about.4) ---
$ uv run pytest -q
3 passed in 0.24s
```
### Or add your own spec to a project

For example:

**Create and commit a spec file and pass to an agent**
```bash
agro init # add .agdocs/ to repo

# create a spec
agro task hello-world  
# then add the text to the spec: "add hello world to the readme of this project"
# equivalent to:
echo "add hello world to the readme of this project" > .agdocs/specs/hello-world.md

agro exec
# equivalent to:
agro exec add-about 1 aider
```

### Full Walk-Through

TODO - add a full tutorial here


## Commands

TODO

### Full Help

```

usage: agro [-h] [--version] [-v] [-q]

A script to manage git branches & worktrees for agent-based development.

options:
  -h, --help     show this help message and exit
  --version      Show program's version number and exit.
  -v, --verbose  Increase verbosity. -v for debug, -vv for command output.
  -q, --quiet    Suppress all output except warnings and errors.

Main command:
  exec [args] [taskfile] [num-trees] [exec-cmd]   
                                
    Run an agent in new worktree(s)
        args:
          -n <num-trees>        Number of worktrees to create.
          -c <exec-cmd>         Run the exec-cmd to launch agent on worktree.
          -a <agent-type>       Specify agent type to override config.
                                Supported: aider, claude, gemini.

Other Commands:
  muster <command> <branch-patterns>    Run a command in specified worktrees.
  surrender [branch-patterns]   Kill running agent processes (default: all).
  grab <branch-name>            Checkout a branch, creating a copy if it's in use.
  fade <branch-patterns>        Delete local branches matching a regex pattern.
  state [branch-patterns]       Show the worktree to branch mappings (default: all).
  task [task-name]              Create a new task spec file and open it.
  init                          Initialize agro project structure in .agdocs/.
  mirror                        Mirror internal docs to public docs directory.
  make <index>                  Create a new worktree.
  delete <indices>|--all        Delete one, multiple, or all worktrees.

Branch-patterns examples (for regex like matching):
  output/add-thing              Match output/add-thing*
  output/add-thing.{2,5}        Match output/add-thing.2, output/add-thing.5
  output/add-thing.{1-4}        Match output/add-thing.1, ... output/add-thing.4

Common options for 'make' and 'exec':
  --fresh-env         Use .env.example as the base instead of .env.
  --no-env-overrides  Do not add port overrides to the .env file.

Options for 'muster':
  -s, --server        Run command as a background server (and log server PID)
  -k, --kill-server   Kill the background server and clean up pid/log files.
    
Options for 'init':
  --conf              Only add a template agro.conf.yml to .agdocs/conf


```

## Layout

The script will create two directories in the code repo:
- `.agdocs/` - specs, configs, logs for agro (when `agro init` run)
- `trees/` - root for worktrees (when `agro exec` run)
- both of these are added to gitignore by default

```
- .agdocs/
    - specs/
        - task1
        - task2
        ...
    - swap/  <- gitignored
        - shared logs 
    - conf/
      - agro.conf.yml
    - guides/
      - GUIDE.md
      - other-guide.md
      - ...
- <your-code>
- <your-configs>
- trees/
    - t1/
        - <your-code>
        - <t1-configs>
    - t2/
        - <your-code>
        - <t1-configs>
    ...
```

#### Worktree Configuration

agro will port `.env` files into the worktrees and override particular settings for parallel execution environments. And clone the env  ironment (currently only supported for `uv`) from the main workspace into the 

```agro muster 'uv run which python' output/add-about.{1,2}```

```bash

--- Running command in t1 (trees/t1) ---
$ uv run which python
/home/user/tools_dev/agscript/trees/t1/.venv/bin/python

--- Running command in t2 (trees/t2) ---
$ uv run which python
/home/user/tools_dev/agscript/trees/t2/.venv/bin/python

```

Or

```agro muster 'cat .env' output/add-about.{1,2}```

```bash

--- Running command in t1 (output/add-about.1) ---
$ cat .env
API_PORT=8000
### Worktree Overrides ---
API_PORT=8001

--- Running command in t2 (output/add-about.2) ---
$ cat .env
API_PORT=8000
### Worktree Overrides ---
API_PORT=8002

```

### What it does

Three functionalities needed for the ai-generated workflow:
- **Wrapper around CLI-Agents**
    - Agents operate in non-interactive mode (both YOLO and safe modes available)
- **Markdown file based tasks**
    - You can track these with git and publish to github or keep them internal
        - see this example [Dev Log](./docs/dev-summary-v1.md) for agro.
- **A git branch + worktree workflow for reviewing generated code:**
    - Don't dread the process of reviewing reams of ai generated code, embrace it with some 

**What it doesn't do:** agro is not an agent itself. Agro is a micro-framework to call other agents and simiplify workflow for dipatching, review, and comparison between different agents and models.

---

#### Currently Supporting / Tested With

- python
    - uv + virtualenv
- node
  - npm


### Docs

Check out the full docs here: [Agro Docs](./docs/index.md)

### Tutorials

### Philosophy

### Future Development
