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envd

by Community

๐Ÿ•๏ธ Reproducible development environment for humans and agents

E

OSS

envd

Added 1 June 2026

#agent #buildkit #code-agent #codex #developer-tools #development-environment #docker #hacktoberfest

Overview

envd is a tool for creating reproducible development environments using a declarative configuration file. It defines dependencies and system setup in code, ensuring consistent environments across machines for both human developers and AI agents.

Best for

Best for
Data scientists and ML engineers needing consistent, reproducible environments across teams and workflows

Use cases

  • Setting up reproducible development environments for machine learning projects
  • Ensuring consistent environments across team members and CI/CD pipelines
  • Automating environment setup for multi-step workflows involving agents

Notes

envd is a tool for creating reproducible development environments using a declarative configuration file. It defines dependencies and system setup in code, ensuring consistent environments across machines for both human developers and AI agents.

2,206 stars on GitHub. Last updated 2026-05-21. Licensed Apache-2.0.

Use cases

  • Setting up reproducible development environments for machine learning projects
  • Ensuring consistent environments across team members and CI/CD pipelines
  • Automating environment setup for multi-step workflows involving agents

Pros

  • Reproducible environment definitions in code reduce configuration drift
  • Declarative configuration is simple and version-controllable
  • Designed to work for both human users and automated agents

Cons

  • Limited community size (2,206 stars) compared to established alternatives
  • Written in Go which may limit contributions from Python-heavy data science teams
  • Learning curve for the envd-specific configuration syntax

Indexed from awesome-llmops and enriched against its public facts.

Pros

  • Reproducible environment definitions in code reduce configuration drift
  • Declarative configuration is simple and version-controllable
  • Designed to work for both human users and automated agents

Cons

  • Limited community size (2,206 stars) compared to established alternatives
  • Written in Go which may limit contributions from Python-heavy data science teams
  • Learning curve for the envd-specific configuration syntax
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