--- title: "agentfield vs neuron-ai" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agent-field-agentfield-vs-neuron-core-neuron-ai" tools: ["agent-field-agentfield", "neuron-core-neuron-ai"] --- # agentfield vs neuron-ai *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 neuron-ai if neuron-AI is specifically designed as an Agentic Framework for PHP developers to incorporate AI capabilities into their applications through the seamless integration of LLMs, tools, and vector. [agentfield](http://www.agentfield.ai) reports 2.6k GitHub stars, 415 forks, and 45 open issues, last pushed Sep 17, 2026. [neuron-ai](https://docs.neuron-ai.dev) has 2.1k stars, 247 forks, and 6 open issues, last pushed Sep 19, 2026. Figures are from public GitHub metadata via [agentfield's repository](https://github.com/Agent-Field/agentfield) and [neuron-ai's repository](https://github.com/neuron-core/neuron-ai). | | [agentfield](/tools/agent-field-agentfield.md) | [neuron-ai](/tools/neuron-core-neuron-ai.md) | | --- | --- | --- | | Tagline | Build, run and scale AI agents like API and microservices | Agentic Framework for building production-ready AI applications in PHP | | Stars | 2,565 | 2,101 | | Forks | 415 | 247 | | Open issues | 45 | 6 | | Language | Go | PHP | | 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. | Neuron-AI is specifically designed as an Agentic Framework for PHP developers to incorporate AI capabilities into their applications through the seamless integration of LLMs, tools, and vector databases with agents. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents, Inference & Serving | AI Agents, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentfield](/tools/agent-field-agentfield.md) | [neuron-ai](/tools/neuron-core-neuron-ai.md) | | --- | --- | --- | | Open issues (now) | 45 | 6 | | Stars delta | +93 (30d) | +80 (30d) | | Open issues delta | -29 (30d) | -3 (30d) | | Full report | [trust report](/tools/agent-field-agentfield/trust.md) | [trust report](/tools/neuron-core-neuron-ai/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: neuron-ai - **Adopt for:** Neuron-AI is specifically designed as an Agentic Framework for PHP developers to incorporate AI capabilities into their applications through the seamless integration of LLMs, tools, and vector databases with agents. ## Choose when ### Choose agentfield if… - agentfield is primarily Go; neuron-ai is PHP. - License: agentfield is Apache-2.0, neuron-ai is MIT. - Tags unique to agentfield: agent-auth, agent-authentication, agent-indentity, agent-scaling. - When you need a scalable solution for deploying AI agents that can be managed like APIs and microservices. ### Choose neuron-ai if… - neuron-ai is primarily PHP; agentfield is Go. - License: neuron-ai is MIT, agentfield is Apache-2.0. - Tags unique to neuron-ai: llm-inference, php, vector-database. - neuron-ai ships Docker support for self-hosted deployment. - When you are a PHP developer looking for an agentic framework that allows integration of AI components directly in your existing stack. ## 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 neuron-ai - If your application does not require integration of AI agents, sophisticated tools, or vector databases within the PHP framework as Neuron-AI doesn't offer standalone value without these integrations. - When a different programming language is heavily favored over PHP in your project environment, Neuron-AI would then be less suitable due to its PHP-centric design. - If immediate access to the latest advancements in AI components like neural networks or machine learning requires rapid iteration and experimentation beyond what PHP allows efficiently. ## Common questions ### What is the difference between agentfield and neuron-ai? agentfield: Build, run and scale AI agents like API and microservices. neuron-ai: Agentic Framework for building production-ready AI applications in PHP. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentfield over neuron-ai? Choose agentfield over neuron-ai when agentfield is primarily Go; neuron-ai is PHP; License: agentfield is Apache-2.0, neuron-ai is MIT; Tags unique to agentfield: agent-auth, agent-authentication, agent-indentity, agent-scaling; When you need a scalable solution for deploying AI agents that can be managed like APIs and microservices. ### When should I choose neuron-ai over agentfield? Choose neuron-ai over agentfield when neuron-ai is primarily PHP; agentfield is Go; License: neuron-ai is MIT, agentfield is Apache-2.0; Tags unique to neuron-ai: llm-inference, php, vector-database; neuron-ai ships Docker support for self-hosted deployment; When you are a PHP developer looking for an agentic framework that allows integration of AI components directly in your existing stack. ### 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 neuron-ai? If your application does not require integration of AI agents, sophisticated tools, or vector databases within the PHP framework as Neuron-AI doesn't offer standalone value without these integrations. When a different programming language is heavily favored over PHP in your project environment, Neuron-AI would then be less suitable due to its PHP-centric design. If immediate access to the latest advancements in AI components like neural networks or machine learning requires rapid iteration and experimentation beyond what PHP allows efficiently. ### Is agentfield or neuron-ai more popular on GitHub? agentfield has more GitHub stars (2,565 vs 2,101). Stars measure visibility, not whether either tool fits your constraints. ### Are agentfield and neuron-ai open source? Yes - both are open-source projects on GitHub (agentfield: Apache-2.0, neuron-ai: MIT). ### Where can I find alternatives to agentfield or neuron-ai? GraphCanon lists graph-backed alternatives at [agentfield alternatives](/tools/agent-field-agentfield/alternatives) and [neuron-ai alternatives](/tools/neuron-core-neuron-ai/alternatives) ([agentfield markdown twin](/tools/agent-field-agentfield/alternatives.md), [neuron-ai markdown twin](/tools/neuron-core-neuron-ai/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-neuron-core-neuron-ai.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentfield or neuron-ai? agentfield: Very active. neuron-ai: 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 neuron-ai? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentfield trust report](/tools/agent-field-agentfield/trust); [neuron-ai trust report](/tools/neuron-core-neuron-ai/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/_