--- title: "agentfield vs astron-agent" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agent-field-agentfield-vs-iflytek-astron-agent" tools: ["agent-field-agentfield", "iflytek-astron-agent"] --- # agentfield vs astron-agent *GraphCanon updated Sep 20, 2026* ## Verdict Pick agentfield if agentfield is a repository for developing and managing AI agents, emphasizing scalability and cloud-native deployment with support for Go, Python, and TypeScript, and integration with Kubernetes; pick astron-agent if enterprise-grade platform for building next-generation SuperAgents leveraging AI with support for low-code development and multi-agent orchestration. [agentfield](http://www.agentfield.ai) reports 2.6k GitHub stars, 415 forks, and 45 open issues, last pushed Sep 17, 2026. [astron-agent](http://astron.ai/) has 9.0k stars, 879 forks, and 47 open issues, last pushed Sep 10, 2026. Figures are from public GitHub metadata via [agentfield's repository](https://github.com/Agent-Field/agentfield) and [astron-agent's repository](https://github.com/iflytek/astron-agent). | | [agentfield](/tools/agent-field-agentfield.md) | [astron-agent](/tools/iflytek-astron-agent.md) | | --- | --- | --- | | Tagline | Build, run and scale AI agents like API and microservices | Enterprise-grade platform for building next-generation SuperAgents | | Stars | 2,565 | 9,002 | | Forks | 415 | 879 | | Open issues | 45 | 47 | | Language | Go | Java | | Adopt for | Agentfield is a repository for developing and managing AI agents, emphasizing scalability and cloud-native deployment with support for Go, Python, and TypeScript, and integration with Kubernetes. | Enterprise-grade platform for building next-generation SuperAgents leveraging AI with support for low-code development and multi-agent orchestration. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | 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) | [astron-agent](/tools/iflytek-astron-agent.md) | | --- | --- | --- | | Days since push | 0d | 4d | | Open issues (now) | 45 | 47 | | Stars delta | +93 (30d) | -239 (30d) | | Open issues delta | -29 (30d) | 0 (30d) | | Full report | [trust report](/tools/agent-field-agentfield/trust.md) | [trust report](/tools/iflytek-astron-agent/trust.md) | ## Decision facts: agentfield - **Adopt for:** Agentfield is a repository for developing and managing AI agents, emphasizing scalability and cloud-native deployment with support for Go, Python, and TypeScript, and integration with Kubernetes. ## Decision facts: astron-agent - **Adopt for:** Enterprise-grade platform for building next-generation SuperAgents leveraging AI with support for low-code development and multi-agent orchestration. ## Choose when ### Choose agentfield if… - agentfield is primarily Go; astron-agent is Java. - Tags unique to agentfield: agent-auth, agent-authentication, agent-indentity, agent-scaling. - Also covers Inference & Serving. - When you need a scalable solution for AI agents that can be deployed in a cloud-native environment, leveraging Kubernetes for orchestration. ### Choose astron-agent if… - astron-agent is primarily Java; agentfield is Go. - Tags unique to astron-agent: enterprise-automation, low-code, multi-agent, superagent. - You need an enterprise automation task solution that supports both low-code development and multi-agent orchestration. ## When NOT to use agentfield - If your project does not require cloud-native deployment or Kubernetes orchestration, as Agentfield is optimized for these environments. - If you are working in a language other than Go, Python, or TypeScript, as these are the only languages supported by Agentfield. - When you need a tool that does not treat AI agents as microservices, as Agentfield is specifically designed for this approach. ## When NOT to use astron-agent - If your project does not align with an Apache-2.0 license requirement or if dependency on Java is not feasible within your tech stack. - For scenarios preferring native Python configurations over Docker-based setups for simplicity and direct management of low-code AI agent tasks. ## Common questions ### What is the difference between agentfield and astron-agent? agentfield: Build, run and scale AI agents like API and microservices. astron-agent: Enterprise-grade platform for building next-generation SuperAgents. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentfield over astron-agent? Choose agentfield over astron-agent when agentfield is primarily Go; astron-agent is Java; Tags unique to agentfield: agent-auth, agent-authentication, agent-indentity, agent-scaling; Also covers Inference & Serving; When you need a scalable solution for AI agents that can be deployed in a cloud-native environment, leveraging Kubernetes for orchestration. ### When should I choose astron-agent over agentfield? Choose astron-agent over agentfield when astron-agent is primarily Java; agentfield is Go; Tags unique to astron-agent: enterprise-automation, low-code, multi-agent, superagent; You need an enterprise automation task solution that supports both low-code development and multi-agent orchestration. ### When should I avoid agentfield? If your project does not require cloud-native deployment or Kubernetes orchestration, as Agentfield is optimized for these environments. If you are working in a language other than Go, Python, or TypeScript, as these are the only languages supported by Agentfield. When you need a tool that does not treat AI agents as microservices, as Agentfield is specifically designed for this approach. ### When should I avoid astron-agent? If your project does not align with an Apache-2.0 license requirement or if dependency on Java is not feasible within your tech stack. For scenarios preferring native Python configurations over Docker-based setups for simplicity and direct management of low-code AI agent tasks. ### Is agentfield or astron-agent more popular on GitHub? astron-agent has more GitHub stars (9,002 vs 2,565). Stars measure visibility, not whether either tool fits your constraints. ### Are agentfield and astron-agent open source? Yes - both are open-source projects on GitHub (agentfield: Apache-2.0, astron-agent: Apache-2.0). ### Where can I find alternatives to agentfield or astron-agent? GraphCanon lists graph-backed alternatives at [agentfield alternatives](/tools/agent-field-agentfield/alternatives) and [astron-agent alternatives](/tools/iflytek-astron-agent/alternatives) ([agentfield markdown twin](/tools/agent-field-agentfield/alternatives.md), [astron-agent markdown twin](/tools/iflytek-astron-agent/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-iflytek-astron-agent.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentfield or astron-agent? agentfield: Very active. astron-agent: 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 astron-agent? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentfield trust report](/tools/agent-field-agentfield/trust); [astron-agent trust report](/tools/iflytek-astron-agent/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/_