agnoctl
The Agno CLI: connect and operate AgentOS from the terminal, built for humans and coding agents
Decision gist · record as of 2026-08-14
Yes. agnoctl is actively maintained, has low install friction, carries a permissive Apache 2.0 license, and solves a clear problem—scaffolding AgentOS projects across multiple deployment targets. It's suitable for developers building agents who want to avoid manual template setup. No known vulnerabilities. Install if you're working with AgentOS.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Low install friction with a pure-Python wheel distribution.
- Active maintenance with a recent release (28 days old) and substantial repository activity (41713 stars).
- Supports Python 3.9 through 3.13.
License · maintenance · safety
permissive license (permissive) — Apache License 2.0 (permissive) allows free use, modification, and distribution with minimal restrictions—suitable for both open-source and commercial projects provided you retain license notices.
last release 2026-07-17 (28 days) · last repo commit 2026-08-14 · 41,713 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 482,943 downloads/mo, #6,418 on PyPI
Alternatives
Verify before relying
pip install agnoctl
from agnoctl import create
# Or use the CLI directly:
# agno create my-agentos --template agentos-railway --json- Whether agnoctl can be imported and used programmatically or is CLI-only
- Whether the nine starter templates are actively maintained and up-to-date
- Performance characteristics when cloning templates or provisioning infrastructure
What it is and what it does
agnoctl is a CLI tool for initializing and deploying AgentOS projects to multiple cloud and container platforms. It provides an interactive setup flow that clones one of nine maintained starter templates (Docker, AWS, Azure, Fly, GCP, Helm, Modal, Railway, Render), copies environment configuration, and prepares the project for deployment. The tool is designed to work both interactively for humans and non-interactively for automation workflows, accepting explicit project names and template choices via command-line flags.
The package depends on httpx for HTTP requests, rich for terminal formatting, typer for CLI argument handling, and tomli for configuration parsing. It targets Python 3.9 and later, is marked as production-stable, and has no known security vulnerabilities. The repository shows active development with recent commits and significant community interest.
Use it for
- Quickly scaffold a new AgentOS project with interactive prompts, choosing from nine deployment templates
- Automate AgentOS project creation in CI/CD pipelines by passing template and project name as arguments
- Set up local development environments with pre-configured Docker or cloud-specific starter code
- Provision agent infrastructure on multiple platforms (AWS, Azure, GCP, Railway, Render, etc.) from a single CLI
- Generate JSON output of project creation results for downstream tooling or logging
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes.
agnoctl is actively maintained, has low install friction, carries a permissive Apache 2.0 license, and solves a clear problem—scaffolding AgentOS projects across multiple deployment targets. It's suitable for developers building agents who want to avoid manual template setup. No known vulnerabilities. Install if you're working with AgentOS.
Install
agnoctl on PyPI
Before you install
Low install friction with a pure-Python wheel distribution. Active maintenance with a recent release (28 days old) and substantial repository activity (41713 stars). Supports Python 3.9 through 3.13.
License in practice
Apache License 2.0 (permissive) allows free use, modification, and distribution with minimal restrictions—suitable for both open-source and commercial projects provided you retain license notices.
Quickstart
pip install agnoctl
from agnoctl import create
# Or use the CLI directly:
# agno create my-agentos --template agentos-railway --jsonVerify before relying
- Whether agnoctl can be imported and used programmatically or is CLI-only
- Whether the nine starter templates are actively maintained and up-to-date
- Performance characteristics when cloning templates or provisioning infrastructure
Package facts
| License | permissive license permissive |
| Python support | Supports the current Python release <4,>=3.9 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 4 packageshttpxrichtypertomli |
| Maintenance | Actively maintained 28 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 482,943 / month, #6,418 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Development Status :: 5 - Production/StableIntended Audience :: DevelopersLicense :: OSI Approved :: Apache Software LicenseOperating System :: OS IndependentProgramming Language :: Python :: 3Programming Language :: Python :: 3.10Programming Language :: Python :: 3.11Programming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.9Topic :: Scientific/Engineering :: Artificial Intelligence |
Evidence: agnoctl-0.1.3-py3-none-any.whl
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See also agno · opentelemetry-instrumentation-agno · google-agents-cli · deepagents-cli · openinference-instrumentation-agno · omnigent · swe-rex · ag2 · autogen · nvidia-nat-core