--- title: "hive vs agentfield" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/aden-hive-hive-vs-agent-field-agentfield" tools: ["aden-hive-hive", "agent-field-agentfield"] --- # hive vs agentfield *GraphCanon updated Aug 19, 2026* ## Verdict Pick hive if hive is a multi-agent framework designed specifically for production-level AI applications, emphasizing agent automation and self-improvement through a Python-based environment; 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. [hive](https://github.com/aden-hive/hive) reports 11k GitHub stars, 5.7k forks, and 1.3k open issues, last pushed Aug 19, 2026. [agentfield](http://www.agentfield.ai) has 2.5k stars, 392 forks, and 74 open issues, last pushed Aug 1, 2026. Figures are from public GitHub metadata via [hive's repository](https://github.com/aden-hive/hive) and [agentfield's repository](https://github.com/Agent-Field/agentfield). | | [hive](/tools/aden-hive-hive.md) | [agentfield](/tools/agent-field-agentfield.md) | | --- | --- | --- | | Tagline | Multi-Agent Harness for Production AI | Build, run and scale AI agents like API and microservices | | Stars | 10,926 | 2,472 | | Forks | 5,668 | 392 | | Open issues | 1,338 | 74 | | Language | Python | Go | | Adopt for | Hive is a multi-agent framework designed specifically for production-level AI applications, emphasizing agent automation and self-improvement through a Python-based environment. | 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. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | AI Agents | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [hive](/tools/aden-hive-hive.md) | [agentfield](/tools/agent-field-agentfield.md) | | --- | --- | --- | | Open issues (now) | 1.3k | 74 | | Stars delta | +192 (30d) | Unknown | | Open issues delta | +25 (30d) | Unknown | | Full report | [trust report](/tools/aden-hive-hive/trust.md) | [trust report](/tools/agent-field-agentfield/trust.md) | ## Decision facts: hive - **Requirements:** Hive cannot be installed using 'pip install'. Instead, users must follow specific setup instructions including the quickstart script provided in the README.; The framework requires use of a `uv` workspace layout for correct functionality. - **Adopt for:** Hive is a multi-agent framework designed specifically for production-level AI applications, emphasizing agent automation and self-improvement through a Python-based environment. ## 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. ## Choose when ### Choose hive if… - hive is primarily Python; agentfield is Go. - Requirements: Hive cannot be installed using 'pip install'. Instead, users must follow specific setup instructions including the quickstart script provided in the README.; The framework requires use of a `uv` workspace layout for correct functionality.. - Tags unique to hive: agent-framework, automation, openai, self-hosted. - Use Hive when you need an advanced multi-agent system designed to support autonomous operation and continuous improvement in production environments. ### Choose agentfield if… - agentfield is primarily Go; hive is Python. - 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 NOT to use hive - Avoid using Hive if you prefer lightweight, easy-to-install tools since it does not support installation via pip and has specific setup requirements. - Do not use if the requirement is for a tool that can be immediately deployed without setting up a uv workspace layout environment as specified by the Hive documentation. ## 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. ## Common questions ### What is the difference between hive and agentfield? hive: Multi-Agent Harness for Production AI. agentfield: Build, run and scale AI agents like API and microservices. See the comparison table for live GitHub stats and shared categories. ### When should I choose hive over agentfield? Choose hive over agentfield when hive is primarily Python; agentfield is Go; Requirements: Hive cannot be installed using 'pip install'. Instead, users must follow specific setup instructions including the quickstart script provided in the README.; The framework requires use of a `uv` workspace layout for correct functionality.; Tags unique to hive: agent-framework, automation, openai, self-hosted; Use Hive when you need an advanced multi-agent system designed to support autonomous operation and continuous improvement in production environments. ### When should I choose agentfield over hive? Choose agentfield over hive when agentfield is primarily Go; hive is Python; 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 avoid hive? Avoid using Hive if you prefer lightweight, easy-to-install tools since it does not support installation via pip and has specific setup requirements. Do not use if the requirement is for a tool that can be immediately deployed without setting up a uv workspace layout environment as specified by the Hive documentation. ### 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. ### Is hive or agentfield more popular on GitHub? hive has more GitHub stars (10,926 vs 2,472). Stars measure visibility, not whether either tool fits your constraints. ### Are hive and agentfield open source? Yes - both are open-source projects on GitHub (hive: Apache-2.0, agentfield: Apache-2.0). ### Where can I find alternatives to hive or agentfield? GraphCanon lists graph-backed alternatives at [hive alternatives](/tools/aden-hive-hive/alternatives) and [agentfield alternatives](/tools/agent-field-agentfield/alternatives) ([hive markdown twin](/tools/aden-hive-hive/alternatives.md), [agentfield markdown twin](/tools/agent-field-agentfield/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/aden-hive-hive-vs-agent-field-agentfield.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, hive or agentfield? hive: Very active. agentfield: 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 hive and agentfield? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [hive trust report](/tools/aden-hive-hive/trust); [agentfield trust report](/tools/agent-field-agentfield/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=aden-hive-hive`](/api/graphcanon/graph?tool=aden-hive-hive) - 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/_