Who should use agentstow?

agentstow is an open-source project built for developers.

Yes — agentstow is open source under the MIT license and free to use.

What platforms does agentstow run on?

agentstow runs on the command line. It can also be self-hosted.

Is agentstow still active?

The GitHub repository shows 58 commits in the last 90 days.

What projects are similar to agentstow?

Similar projects tracked by PulseGate include agent-synchronizer, oragent, and syncanything.

Who develops agentstow?

agentstow is developed by agentstow.

When did agentstow launch?

agentstow first shipped in 2026.

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agentstow

Name: agentstow
Author: agentstow

PyPIInfrastructure

agentstow is an MIT-licensed command-line package that maintains one canonical .agents/ folder and distributes its contents to multiple AI coding agents. It is intended for developers managing shared agent configuration across coding tools.

Open SourceMITCLISelf-hosted

Visit PyPI

2stars

3features

2026since

Overview

3 features

agentstow is a CLI tools & terminal project. It focuses on keeping AI coding-agent configuration synchronized across multiple tools. It is built as an open-source project for developers. agentstow is open source under the MIT license. agentstow is available on the command line, and it can be self-hosted.

Behind agentstow is agentstow, and it first shipped in 2026. Development happens publicly on GitHub with 58 commits in the last 90 days. Among its 3 catalogued features are canonical agents folder, agent config fan-out, and multi-agent support.

Summary written by a language model from the project’s public pages.

Canonical agents folder
Agent config fan-out
Multi-agent support

Built with & integrations

Connectors

github

Runs on

CLISelf-hosted

Trust & compliance

License

MIT

Verified signals

HTTPSOpen SourceFree tierGitHub · ★ 2Active maintenance

Indexing history

What PulseGate has recorded for this listing

Indexed17 Aug · 04:26 UTC
agentstow verified against its public source
Source: PulseGate · Open

Frequently asked questions about agentstow

What is agentstow?: Agentstow focuses on keeping AI coding-agent configuration synchronized across multiple tools. It is catalogued under CLI tools & terminal on PulseGate.
Who should use agentstow?: agentstow is an open-source project built for developers.
Is agentstow free?: Yes — agentstow is open source under the MIT license and free to use.
What platforms does agentstow run on?: agentstow runs on the command line. It can also be self-hosted.
Is agentstow still active?: The GitHub repository shows 58 commits in the last 90 days.
What projects are similar to agentstow?: Similar projects tracked by PulseGate include agent-synchronizer, oragent, and syncanything.agent-synchronizer oragent syncanything
Who develops agentstow?: agentstow is developed by agentstow.
When did agentstow launch?: agentstow first shipped in 2026.

At a glance

Platforms: Cli
Languages: English
Open source: Yes · ★ 2
License: MIT
First seen: 17 Aug 2026
Built for: developers
Model: Open source
Solves: Keeping AI coding-agent configuration synchronized across multiple tools.

Registered as

GitHub: agentstow/agentstow
PyPI: agentstow

Developer

Small team

GitHub

Open source

View on GitHub

Stars: 2
Forks: 0
Open issues: 0
Last commit: 17 Aug 2026
Commits 90d: 58
Contributors: 2
Authorship: Small team
Default branch: main
Latest release: v2.0.3 · 17 Aug 2026

Index record

Identity confidence: Low · 64
Indexed: 17 Aug 2026
Lifecycle: Alive
First seen: Aug 2026
Last seen: 17 Aug 2026

Identity audit (13)

Slug: agentstow-pypi-org
Lifecycle state recorded: 17 Aug 2026
Verification state: Indexed for public listing
Listing state: Listed: yes
Index status: Included in index
Latest evidence snapshot: 17 Aug 2026
Timeline basis: Indexed-at chronology (no inferred launch/funding milestones).
Name from: Written by a language model from the project's public pages.
Category from: Assigned by a language model.
Summary from: Written by a language model from public pages.
Languages from: Detected by a language model from page content.
Last updated: 17 Aug 2026
Canonical URL: https://pypi.org/project/agentstow

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