--- title: "agent-zero vs envd" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agent0ai-agent-zero-vs-tensorchord-envd" tools: ["agent0ai-agent-zero", "tensorchord-envd"] --- # agent-zero vs envd Neutral, constraint-first comparison with live GitHub stats. | | [agent-zero](/tools/agent0ai-agent-zero.md) | [envd](/tools/tensorchord-envd.md) | | --- | --- | --- | | Tagline | A full Linux system for your AI agent. | Reproducible development environment for humans and agents | | Stars | 18,362 | 2,214 | | Forks | 3,678 | 168 | | Open issues | 249 | 136 | | Language | Python | Go | | Adopt for | Agent Zero is an AI agent framework that provides a complete Linux system with a desktop environment and plugin hub within a Docker container. It can be installed via the A0 Launcher (GUI) or A0 Install script (CLI). | Envd is a Go-based tool that simplifies the setup of AI/ML containerized development environments through simple declaration files. | | Persona | - | - | | Runtime | - | - | | License | Other | Apache-2.0 | | Categories | AI Agents | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agent-zero](/tools/agent0ai-agent-zero.md) | [envd](/tools/tensorchord-envd.md) | | --- | --- | --- | | Days since push | 1d | 4d | | Open issues (now) | 249 | 136 | | Security scan | 97 low (97 low) | 44 low (44 low) | | Full report | [trust report](/tools/agent0ai-agent-zero/trust.md) | [trust report](/tools/tensorchord-envd/trust.md) | **Typed relationship:** agent-zero _(alternative)_ envd Both 'envd' and 'Agent Zero' aim at providing full-scale environments for AI agents, with Agent Zero offering a Linux system and envd focusing on reproducibility in development environments. ## Decision facts: agent-zero - **Adopt for:** Agent Zero is an AI agent framework that provides a complete Linux system with a desktop environment and plugin hub within a Docker container. It can be installed via the A0 Launcher (GUI) or A0 Install script (CLI). ## Decision facts: envd - **Requirements:** Min 2 GB RAM; Requires Docker; EnvD's environment image is compatible with OCI image specification, requiring an understanding of containerization concepts.; It requires setting up declaration files for defining your development environment packages and configurations. - **Adopt for:** Envd is a Go-based tool that simplifies the setup of AI/ML containerized development environments through simple declaration files. ## Choose when ### Choose agent-zero if… - agent-zero is primarily Python; envd is Go. - License: agent-zero is Other, envd is Apache-2.0. - Both 'envd' and 'Agent Zero' aim at providing full-scale environments for AI agents, with Agent Zero offering a Linux system and envd focusing on reproducibility in development environments. - Tags unique to agent-zero: assistant, zero, linux, autonomous. - Also covers AI Agents. - You require a full-fledged Linux desktop environment for your AI agent to operate in. ### Choose envd if… - envd is primarily Go; agent-zero is Python. - License: envd is Apache-2.0, agent-zero is Other. - Requirements: Min 2 GB RAM; Requires Docker; EnvD's environment image is compatible with OCI image specification, requiring an understanding of containerization concepts.; It requires setting up declaration files for defining your development environment packages and configurations.. - Both 'envd' and 'Agent Zero' aim at providing full-scale environments for AI agents, with Agent Zero offering a Linux system and envd focusing on reproducibility in development environments. - Tags unique to envd: llmops, codex, buildkit, code-agent. - Also covers Developer Tools. - - When you need a fast and isolated environment for AI/ML projects with complex dependencies, as EnvD leverages virtualization technology to provide an efficient solution. ## When NOT to use agent-zero - If you are seeking lightweight solutions that do not involve a full Linux system within a container. - When you prefer to manage AI agents without a desktop environment or plugin extensibility. - In scenarios where Docker is not an option or when running on systems with significant resource constraints. ## When NOT to use envd - - When your project does not involve AI/ML and can manage dependencies through simpler means such as virtual environments in Python. - - You prefer tools without the need for declaration files or a specific setup process that requires using `envd up` commands to build environments. ## Common questions ### What is the difference between agent-zero and envd? agent-zero: A full Linux system for your AI agent.. envd: Reproducible development environment for humans and agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose agent-zero over envd? Choose agent-zero over envd when agent-zero is primarily Python; envd is Go; License: agent-zero is Other, envd is Apache-2.0; Both 'envd' and 'Agent Zero' aim at providing full-scale environments for AI agents, with Agent Zero offering a Linux system and envd focusing on reproducibility in development environments; Tags unique to agent-zero: assistant, zero, linux, autonomous; Also covers AI Agents; You require a full-fledged Linux desktop environment for your AI agent to operate in. ### When should I choose envd over agent-zero? Choose envd over agent-zero when envd is primarily Go; agent-zero is Python; License: envd is Apache-2.0, agent-zero is Other; Requirements: Min 2 GB RAM; Requires Docker; EnvD's environment image is compatible with OCI image specification, requiring an understanding of containerization concepts.; It requires setting up declaration files for defining your development environment packages and configurations.; Both 'envd' and 'Agent Zero' aim at providing full-scale environments for AI agents, with Agent Zero offering a Linux system and envd focusing on reproducibility in development environments; Tags unique to envd: llmops, codex, buildkit, code-agent; Also covers Developer Tools; - When you need a fast and isolated environment for AI/ML projects with complex dependencies, as EnvD leverages virtualization technology to provide an efficient solution. ### When should I avoid agent-zero? If you are seeking lightweight solutions that do not involve a full Linux system within a container. When you prefer to manage AI agents without a desktop environment or plugin extensibility. In scenarios where Docker is not an option or when running on systems with significant resource constraints. ### When should I avoid envd? - When your project does not involve AI/ML and can manage dependencies through simpler means such as virtual environments in Python. - You prefer tools without the need for declaration files or a specific setup process that requires using `envd up` commands to build environments. ### Is agent-zero or envd more popular on GitHub? agent-zero has more GitHub stars (18,362 vs 2,214). Stars measure visibility, not whether either tool fits your constraints. ### Are agent-zero and envd open source? Yes - both are open-source projects on GitHub (agent-zero: Other, envd: Apache-2.0). ### Where can I find alternatives to agent-zero or envd? GraphCanon lists graph-backed alternatives at /tools/agent0ai-agent-zero/alternatives and /tools/tensorchord-envd/alternatives (/tools/agent0ai-agent-zero/alternatives.md, /tools/tensorchord-envd/alternatives.md), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at /compare/agent0ai-agent-zero-vs-tensorchord-envd.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agent-zero or envd? agent-zero: Very active. envd: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for agent-zero and envd? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-zero: /tools/agent0ai-agent-zero/trust; envd: /tools/tensorchord-envd/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agent0ai-agent-zero`](/api/graphcanon/graph?tool=agent0ai-agent-zero) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_