CLI coding assistant powered by your Ollama GPUs via PastaWater

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  • License: MIT License
  • Author: PastaWater
  • Requires: Python >=3.10
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Project description

PW Agent 🧠

CLI coding assistant powered by your Ollama GPUs via PastaWater.

Install

The recommended way to install pw-agent is using pipx to keep it isolated from your other Python packages:

pipx install pw-agent

Alternatively, you can use standard pip: pip install pw-agent

Usage

pw-agent

First run guides you through setup — paste your API token, pick a GPU, start chatting.

Features

  • Interactive REPL with real-time streaming and a premium dashboard status bar.
  • Plan vs Build Modes: Use /plan for read-only analysis and /build for execution.
  • Context Discovery: Automatically finds PW_AGENT.md for project-specific rules.
  • Tab Autocomplete for commands, file paths, and GPU slots.
  • Session Control: Fresh sessions by default; use -c to resume where you left off.
  • File Injection: /add file.py or @file.py — inject files into the LLM's context.
  • Batch Processing: Model can run multiple tool calls in a single turn.
  • GPU Fleet Control: /models to view GPUs and /use N to switch connections or slots.
  • AI Commits: /commit to generate and apply git commit messages based on your diff.
  • Safety First: -y flag for auto-approve; otherwise, every file edit requires confirmation.

Connect

  • Cloud mode: Use your PastaWater API token to access your remote fleet.
  • Direct mode: Point at a local Ollama instance (--brain http://localhost:11434).

Get your token at pastawater.io/settings

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for levmor from gravatar.com levmor

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: MIT License
  • Author: PastaWater
  • Requires: Python >=3.10
Classifiers

Release history Release notifications | RSS feed

1.50.12

1.50.11

1.50.10

1.50.9

1.50.8

1.50.7

1.50.6

1.50.5

1.50.4

1.50.3

1.50.2

This version

1.50.1

1.50.0

1.49.1

1.49.0

1.48.1

1.48.0

1.47.11

1.47.10

1.47.9

1.47.8

1.47.7

1.47.6

1.47.5

1.47.4

1.47.3

1.47.2

1.47.1

1.47.0

1.46.7

1.46.6

1.46.5

1.46.4

1.46.3

1.46.2

1.46.1

1.46.0

1.45.1

1.45.0

1.44.2

1.44.1

1.44.0

1.43.2

1.43.1

1.43.0

1.42.0

1.41.1

1.41.0

1.40.4

1.40.3

1.40.2

1.40.1

1.40.0

1.39.3

1.39.2

1.39.1

1.39.0

1.38.3

1.38.2

1.38.1

1.38.0

1.37.0

1.36.0

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1.34.0

1.33.0

1.32.4

1.32.3

1.32.2

1.32.1

1.32.0

1.31.0

1.30.7

1.30.6

1.30.5

1.30.4

1.30.3

1.30.2

1.30.1

1.30.0

1.29.0

1.28.0

1.16.5

1.16.4

1.16.3

1.16.2

1.16.1

1.16.0

1.15.8

1.15.7

1.15.6

1.15.5

1.15.4

1.15.3

1.15.2

1.15.1

1.15.0

1.14.5

1.14.4

1.14.3

1.14.2

1.14.1

1.14.0

1.13.4

1.13.3

1.13.2

1.13.1

1.13.0

1.12.9

1.12.8

1.12.7

1.12.6

1.12.5

1.12.4

1.12.3

1.12.2

1.12.1

1.12.0

1.11.1

1.11.0

1.10.0

1.9.5

1.9.4

1.9.3

1.9.2

1.9.1

1.9.0

1.8.4

1.8.3

1.8.2

1.8.1

1.8.0

1.7.9

1.7.8

1.7.7

1.7.6

1.7.5

1.7.4

1.7.3

1.7.1

1.7.0

1.6.7

1.6.6

1.6.5

1.6.4

1.6.2

1.6.1

1.6.0

1.5.8

1.5.7

1.5.6

1.5.5

1.5.3

1.5.2

1.5.1

1.5.0

1.4.9

1.4.8

1.4.7

1.4.5

1.4.4

1.4.3

1.4.1

1.4.0

1.3.8

1.3.7

1.3.6

1.3.5

1.3.3

1.3.2

1.3.1

1.3.0

1.2.4

1.2.3

1.2.2

1.2.1

1.2.0

1.1.9

1.1.8

1.1.7

1.1.6

1.1.5

1.1.4

1.1.3

1.1.2

1.1.1

1.1.0

1.0.6

1.0.5

1.0.4

1.0.3

1.0.2

1.0.1

1.0.0

0.9.4

0.9.3

0.9.2

0.9.1

0.9.0

0.8.7

0.8.6

0.8.5

0.8.4

0.8.3

0.8.2

0.8.1

0.8.0

0.7.9

0.7.8

0.7.7

0.7.6

0.7.5

0.7.4

0.7.3

0.7.2

0.7.1

0.7.0

0.6.9

0.6.8

0.6.7

0.6.6

0.6.5

0.6.4

0.6.3

0.6.2

0.6.1

0.6.0

0.5.2

0.5.1

0.5.0

0.4.4

0.4.3

0.4.2

0.4.1

0.4.0

0.3.1

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