--- title: "agentfield vs agent-zero" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agent-field-agentfield-vs-agent0ai-agent-zero" tools: ["agent-field-agentfield", "agent0ai-agent-zero"] --- # agentfield vs agent-zero *GraphCanon updated Jul 12, 2026* ## Verdict Pick agentfield if agent-Field/agentfield is a comprehensive toolset built in Go under the Apache-2.0 license, aiming to streamline the development lifecycle of scalable AI agents that are observably secure; pick agent-zero if agent-zero is a Python-based autonomous agent framework that uses Docker for deployment and supports integration with LLM providers such as OpenAI Codex via OAuth. [agentfield](http://www.agentfield.ai) reports 2.3k GitHub stars, 371 forks, and 91 open issues, last pushed Jul 10, 2026. [agent-zero](https://agent-zero.ai) has 18k stars, 3.7k forks, and 235 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [agentfield's repository](https://github.com/Agent-Field/agentfield) and [agent-zero's repository](https://github.com/agent0ai/agent-zero). | | [agentfield](/tools/agent-field-agentfield.md) | [agent-zero](/tools/agent0ai-agent-zero.md) | | --- | --- | --- | | Tagline | Build, run and scale AI agents like API and microservices | Agent Zero AI framework | | Stars | 2,339 | 18,393 | | Forks | 371 | 3,680 | | Open issues | 91 | 235 | | Language | Go | Python | | Adopt for | Agent-Field/agentfield is a comprehensive toolset built in Go under the Apache-2.0 license, aiming to streamline the development lifecycle of scalable AI agents that are observably secure. | Agent-zero is a Python-based autonomous agent framework that uses Docker for deployment and supports integration with LLM providers such as OpenAI Codex via OAuth. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | AI Agents | AI Agents, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentfield](/tools/agent-field-agentfield.md) | [agent-zero](/tools/agent0ai-agent-zero.md) | | --- | --- | --- | | Days since push | 1d | 0d | | Open issues (now) | 91 | 235 | | Security scan | No lockfile | 99 low (99 low) | | Full report | [trust report](/tools/agent-field-agentfield/trust.md) | [trust report](/tools/agent0ai-agent-zero/trust.md) | ## Decision facts: agentfield - **Adopt for:** Agent-Field/agentfield is a comprehensive toolset built in Go under the Apache-2.0 license, aiming to streamline the development lifecycle of scalable AI agents that are observably secure. ## Decision facts: agent-zero - **Pricing:** unknown - The repository does not explicitly state any pricing information. - **Requirements:** Requires Docker; Requires Docker setup and can be configured to leverage existing Docker environments. - **Adopt for:** Agent-zero is a Python-based autonomous agent framework that uses Docker for deployment and supports integration with LLM providers such as OpenAI Codex via OAuth. ## Choose when ### Choose agentfield if… - agentfield is primarily Go; agent-zero is Python. - License: agentfield is Apache-2.0, agent-zero is Other. - Tags unique to agentfield: agent-auth, agent-authentication, agent-scaling, agentic-ai. - When you seek to manage and scale your AI agents with robust identity awareness and auditability features from inception. ### Choose agent-zero if… - agent-zero is primarily Python; agentfield is Go. - License: agent-zero is Other, agentfield is Apache-2.0. - Pricing: The repository does not explicitly state any pricing information.. - Requirements: Requires Docker; Requires Docker setup and can be configured to leverage existing Docker environments.. - Tags unique to agent-zero: agent, ai, assistant, autonomous. - Also covers Inference & Serving. - * When setting up agents in SSH sessions, servers, recovery shells, or requiring scriptable installation processes. ## When NOT to use agentfield - If your project requires heavy customization in languages other than Go as Agentfield is primarily built using Go which may limit its adaptability in polyglot environments. ## When NOT to use agent-zero - * When your deployment environment does not support or require Dockerization for agent operations. - * In scenarios where OAuth-based integration with third-party language model providers is undesirable or impractical. - * For installations that do not align well with the provided `/a0/usr` directory mapping conventions (e.g., specific data directories are required). ## Common questions ### What is the difference between agentfield and agent-zero? agentfield: Build, run and scale AI agents like API and microservices. agent-zero: Agent Zero AI framework. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentfield over agent-zero? Choose agentfield over agent-zero when agentfield is primarily Go; agent-zero is Python; License: agentfield is Apache-2.0, agent-zero is Other; Tags unique to agentfield: agent-auth, agent-authentication, agent-scaling, agentic-ai; When you seek to manage and scale your AI agents with robust identity awareness and auditability features from inception. ### When should I choose agent-zero over agentfield? Choose agent-zero over agentfield when agent-zero is primarily Python; agentfield is Go; License: agent-zero is Other, agentfield is Apache-2.0; Pricing: The repository does not explicitly state any pricing information.; Requirements: Requires Docker; Requires Docker setup and can be configured to leverage existing Docker environments.; Tags unique to agent-zero: agent, ai, assistant, autonomous; Also covers Inference & Serving; * When setting up agents in SSH sessions, servers, recovery shells, or requiring scriptable installation processes. ### When should I avoid agentfield? If your project requires heavy customization in languages other than Go as Agentfield is primarily built using Go which may limit its adaptability in polyglot environments. ### When should I avoid agent-zero? * When your deployment environment does not support or require Dockerization for agent operations. * In scenarios where OAuth-based integration with third-party language model providers is undesirable or impractical. * For installations that do not align well with the provided `/a0/usr` directory mapping conventions (e.g., specific data directories are required). ### Is agentfield or agent-zero more popular on GitHub? agent-zero has more GitHub stars (18,393 vs 2,339). Stars measure visibility, not whether either tool fits your constraints. ### Are agentfield and agent-zero open source? Yes - both are open-source projects on GitHub (agentfield: Apache-2.0, agent-zero: Other). ### Where can I find alternatives to agentfield or agent-zero? GraphCanon lists graph-backed alternatives at [agentfield alternatives](/tools/agent-field-agentfield/alternatives) and [agent-zero alternatives](/tools/agent0ai-agent-zero/alternatives) ([agentfield markdown twin](/tools/agent-field-agentfield/alternatives.md), [agent-zero markdown twin](/tools/agent0ai-agent-zero/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 [this comparison](/compare/agent-field-agentfield-vs-agent0ai-agent-zero.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentfield or agent-zero? agentfield: Very active. agent-zero: 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 agentfield and agent-zero? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentfield trust report](/tools/agent-field-agentfield/trust); [agent-zero trust report](/tools/agent0ai-agent-zero/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agent-field-agentfield`](/api/graphcanon/graph?tool=agent-field-agentfield) - 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/_