--- title: "agentfield vs agency" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agent-field-agentfield-vs-operand-agency" tools: ["agent-field-agentfield", "operand-agency"] --- # agentfield vs agency *GraphCanon updated Sep 30, 2026* ## Verdict Pick agentfield if agentfield is a repository for developing and managing AI agents with a focus on scalability and cloud-native deployment, supporting multiple programming languages including Go, Python, and TypeScript; pick agency if agency is a fast and minimal Python-based framework for developing agentic systems that excels in its streamlined approach to creating autonomous agents. [agentfield](http://www.agentfield.ai) reports 2.6k GitHub stars, 415 forks, and 45 open issues, last pushed Sep 17, 2026. [agency](https://createwith.agency) has 490 stars, 29 forks, and 19 open issues, last pushed Jun 10, 2026. Figures are from public GitHub metadata via [agentfield's repository](https://github.com/Agent-Field/agentfield) and [agency's repository](https://github.com/operand/agency). | | [agentfield](/tools/agent-field-agentfield.md) | [agency](/tools/operand-agency.md) | | --- | --- | --- | | Tagline | Build, run and scale AI agents like API and microservices | A fast and minimal framework for building agentic systems | | Stars | 2,565 | 490 | | Forks | 415 | 29 | | Open issues | 45 | 19 | | Language | Go | Python | | Adopt for | Agentfield is a repository for developing and managing AI agents with a focus on scalability and cloud-native deployment, supporting multiple programming languages including Go, Python, and TypeScript. | Agency is a fast and minimal Python-based framework for developing agentic systems that excels in its streamlined approach to creating autonomous agents. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents, Inference & Serving | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentfield](/tools/agent-field-agentfield.md) | [agency](/tools/operand-agency.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 101d | | Open issues (now) | 45 | 19 | | Stars delta | +93 (30d) | +3 (30d) | | Open issues delta | -29 (30d) | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/agent-field-agentfield/trust.md) | [trust report](/tools/operand-agency/trust.md) | ## Decision facts: agentfield - **Adopt for:** Agentfield is a repository for developing and managing AI agents with a focus on scalability and cloud-native deployment, supporting multiple programming languages including Go, Python, and TypeScript. ## Decision facts: agency - **Adopt for:** Agency is a fast and minimal Python-based framework for developing agentic systems that excels in its streamlined approach to creating autonomous agents. ## Choose when ### Choose agentfield if… - agentfield is primarily Go; agency is Python. - License: agentfield is Apache-2.0, agency is MIT. - Tags unique to agentfield: agent, agent-auth, agent-authentication, agent-indentity. - Also covers Inference & Serving. - When you need a scalable solution for deploying AI agents that can be managed like APIs and microservices. ### Choose agency if… - agency is primarily Python; agentfield is Go. - License: agency is MIT, agentfield is Apache-2.0. - Tags unique to agency: actor-model, agent-framework, autonomous-agents. - When you prefer a lightweight solution for building autonomous agent systems without the need for extensive configuration or complex dependencies. ## When NOT to use agentfield - If your project does not require cloud-native deployment or Kubernetes support, as Agentfield is optimized for these environments. - If you are looking for a tool that focuses solely on a single programming language, as Agentfield supports multiple languages and might be overkill for single-language projects. - When you need a tool that is not primarily designed for AI agents but for a broader range of microservices or APIs, as Agentfield is specialized for AI agents. ## When NOT to use agency - If your development requires deeply integrated functionalities that would necessitate a heavier, more feature-rich framework. - In scenarios where you need robust tooling for large-scale deployment and management as Agency does not offer extensive LLMOps (LLM Operations) capabilities beyond its minimalistic design. ## Common questions ### What is the difference between agentfield and agency? agentfield: Build, run and scale AI agents like API and microservices. agency: A fast and minimal framework for building agentic systems. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentfield over agency? Choose agentfield over agency when agentfield is primarily Go; agency is Python; License: agentfield is Apache-2.0, agency is MIT; Tags unique to agentfield: agent, agent-auth, agent-authentication, agent-indentity; Also covers Inference & Serving; When you need a scalable solution for deploying AI agents that can be managed like APIs and microservices. ### When should I choose agency over agentfield? Choose agency over agentfield when agency is primarily Python; agentfield is Go; License: agency is MIT, agentfield is Apache-2.0; Tags unique to agency: actor-model, agent-framework, autonomous-agents; When you prefer a lightweight solution for building autonomous agent systems without the need for extensive configuration or complex dependencies. ### When should I avoid agentfield? If your project does not require cloud-native deployment or Kubernetes support, as Agentfield is optimized for these environments. If you are looking for a tool that focuses solely on a single programming language, as Agentfield supports multiple languages and might be overkill for single-language projects. When you need a tool that is not primarily designed for AI agents but for a broader range of microservices or APIs, as Agentfield is specialized for AI agents. ### When should I avoid agency? If your development requires deeply integrated functionalities that would necessitate a heavier, more feature-rich framework. In scenarios where you need robust tooling for large-scale deployment and management as Agency does not offer extensive LLMOps (LLM Operations) capabilities beyond its minimalistic design. ### Is agentfield or agency more popular on GitHub? agentfield has more GitHub stars (2,565 vs 490). Stars measure visibility, not whether either tool fits your constraints. ### Are agentfield and agency open source? Yes - both are open-source projects on GitHub (agentfield: Apache-2.0, agency: MIT). ### Where can I find alternatives to agentfield or agency? GraphCanon lists graph-backed alternatives at [agentfield alternatives](/tools/agent-field-agentfield/alternatives) and [agency alternatives](/tools/operand-agency/alternatives) ([agentfield markdown twin](/tools/agent-field-agentfield/alternatives.md), [agency markdown twin](/tools/operand-agency/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-operand-agency.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentfield or agency? agentfield: Very active. agency: Slowing. 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 agency? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentfield trust report](/tools/agent-field-agentfield/trust); [agency trust report](/tools/operand-agency/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/_