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Decision brief
Envd is designed for creating reproducible development environments with Docker, suitable for both human developers and AI agents.
Good fit when
- - When you need a tool that supports both traditional software development and AI/ML workflows.
- - If your project requires reproducibility across different environments using Docker, without the complexities often associated with manual Dockerfile management.
Avoid when
- - For scenarios requiring extensive customization of low-level Docker configurations for which EnvD may not offer direct support or flexibility.
- - If you're working in an environment where Docker is not supported or cannot be used due to organizational policies.
Observed Jul 12, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Active (26d since push)
- As of 1d
- Provenance
- Not a fork · Organization account
- As of 1d
- Security (OSV)
- 44 low (44 low)
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Backing
Company context for TensorChord. Display-only - separate from trust and ranking.
- Company
- TensorChord·GitHub org profile·1mo
- Commercial model
- Pure OSS·GitHub org profile (public repos)·1mo
Install
go get github.com/tensorchord/envd pkg.go.devHow it fits your stack(14)
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
A tool for creating reproducible development environments using Docker, aiming to support both human developers and AI agents.
Capability facts
- Languages
- go, python
Source: github.language+pyproject.toml · Aug 20, 2026
Categories
Graph entities
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 20, 2026)
pip install --upgrade envdSource link
Tags
README
Requirements
- Docker (20.10.0 or above)
Install and bootstrap envd
envd can be installed with pip, or you can download the binary release directly. After the installation, please run envd bootstrap to bootstrap.
pip install --upgrade envd
After the installation, please run envd bootstrap to bootstrap:
envd bootstrap
Read the documentation for more alternative installation methods.
You can add
--dockerhub-mirroror-mflag when runningenvd bootstrap, to configure the mirror for docker.io registry:envd bootstrap --dockerhub-mirror https://docker.mirrors.sjtug.sjtu.edu.cn
License 📋
Apache 2.0
For agents
This page has a .md twin and JSON over the API.