--- title: "AutoAgent vs neuron-ai" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/hkuds-autoagent-vs-neuron-core-neuron-ai" tools: ["hkuds-autoagent", "neuron-core-neuron-ai"] --- # AutoAgent vs neuron-ai Neutral, constraint-first comparison with live GitHub stats. | | [AutoAgent](/tools/hkuds-autoagent.md) | [neuron-ai](/tools/neuron-core-neuron-ai.md) | | --- | --- | --- | | Tagline | Fully-Automated & Zero-Code LLM Agent Framework | The Agentic Framework of the PHP ecosystem to build production-ready AI driven applications. | | Stars | 9,451 | 2,005 | | Forks | 1,319 | 226 | | Open issues | 68 | 12 | | Language | Python | PHP | | Adopt for | AutoAgent is a fully-automated, zero-code framework enabling users to create and deploy language model agents using natural language inputs alone. | Neuron-AI is a PHP framework for building AI-driven applications that emphasizes both ease of learning and scalability, offering an integrated set of tools designed to simplify the development lifecycle. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, LLM Frameworks | LLM Frameworks, AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [AutoAgent](/tools/hkuds-autoagent.md) | [neuron-ai](/tools/neuron-core-neuron-ai.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 265d | 4d | | Open issues (now) | 68 | 12 | | Full report | [trust report](/tools/hkuds-autoagent/trust.md) | [trust report](/tools/neuron-core-neuron-ai/trust.md) | **Typed relationship:** AutoAgent _(alternative)_ neuron-ai Both frameworks are designed to build production-ready AI-driven applications using an agentic framework, potentially targeting the same audience with slightly different features. ## Decision facts: AutoAgent - **Pricing:** freemium - The tool is available under an MIT license for free usage and distribution, but additional cloud services or support might come at a cost. - **Requirements:** No Docker required as the framework operates on zero-code principles with no dependency on manual software containerization. - **Adopt for:** AutoAgent is a fully-automated, zero-code framework enabling users to create and deploy language model agents using natural language inputs alone. ## Decision facts: neuron-ai - **Pricing:** freemium - The core package is available under the MIT license for free, with potential premium services such as advanced support or access to future features through the community. - **Requirements:** Min 2 GB RAM; Supports PHP ^8.1 and later versions. - **Adopt for:** Neuron-AI is a PHP framework for building AI-driven applications that emphasizes both ease of learning and scalability, offering an integrated set of tools designed to simplify the development lifecycle. ## Choose when ### Choose AutoAgent if… - AutoAgent is primarily Python; neuron-ai is PHP. - Pricing: The tool is available under an MIT license for free usage and distribution, but additional cloud services or support might come at a cost.. - Requirements: No Docker required as the framework operates on zero-code principles with no dependency on manual software containerization.. - Both frameworks are designed to build production-ready AI-driven applications using an agentic framework, potentially targeting the same audience with slightly different features. - Tags unique to AutoAgent: llms. - - When you need a no-coding solution to develop LLM (Language Model) agents for collaboration or orchestration tasks. ### Choose neuron-ai if… - neuron-ai is primarily PHP; AutoAgent is Python. - Pricing: The core package is available under the MIT license for free, with potential premium services such as advanced support or access to future features through the community.. - Requirements: Min 2 GB RAM; Supports PHP ^8.1 and later versions.. - Both frameworks are designed to build production-ready AI-driven applications using an agentic framework, potentially targeting the same audience with slightly different features. - Tags unique to neuron-ai: vector-database, agents, llm, agentic-framework. - neuron-ai ships Docker support for self-hosted deployment. - - When your project requires a vertically-integrated ecosystem within the PHP domain dedicated exclusively to agentic application development. ## When NOT to use AutoAgent - - When customized technical configurations are mandatory for specific use cases as AutoAgent does not offer manual coding or advanced configuration options. - - If you require full control over the generated code, since AutoAgent operates on a zero-code generation mechanism that may limit direct intervention in the detailed coding process. ## When NOT to use neuron-ai - - If your project demands immediate support for a wider range of languages or broader ecosystems beyond PHP. - - When requiring a framework that offers more community-driven extensions or tools as Neuron-AI's ecosystem might be less expansive compared to general-purpose libraries that also cover agentic use-cs ## Common questions ### What is the difference between AutoAgent and neuron-ai? AutoAgent: Fully-Automated & Zero-Code LLM Agent Framework. neuron-ai: The Agentic Framework of the PHP ecosystem to build production-ready AI driven applications.. See the comparison table for live GitHub stats and shared categories. ### When should I choose AutoAgent over neuron-ai? Choose AutoAgent over neuron-ai when AutoAgent is primarily Python; neuron-ai is PHP; Pricing: The tool is available under an MIT license for free usage and distribution, but additional cloud services or support might come at a cost.; Requirements: No Docker required as the framework operates on zero-code principles with no dependency on manual software containerization.; Both frameworks are designed to build production-ready AI-driven applications using an agentic framework, potentially targeting the same audience with slightly different features; Tags unique to AutoAgent: llms; - When you need a no-coding solution to develop LLM (Language Model) agents for collaboration or orchestration tasks. ### When should I choose neuron-ai over AutoAgent? Choose neuron-ai over AutoAgent when neuron-ai is primarily PHP; AutoAgent is Python; Pricing: The core package is available under the MIT license for free, with potential premium services such as advanced support or access to future features through the community.; Requirements: Min 2 GB RAM; Supports PHP ^8.1 and later versions.; Both frameworks are designed to build production-ready AI-driven applications using an agentic framework, potentially targeting the same audience with slightly different features; Tags unique to neuron-ai: vector-database, agents, llm, agentic-framework; neuron-ai ships Docker support for self-hosted deployment; - When your project requires a vertically-integrated ecosystem within the PHP domain dedicated exclusively to agentic application development. ### When should I avoid AutoAgent? - When customized technical configurations are mandatory for specific use cases as AutoAgent does not offer manual coding or advanced configuration options. - If you require full control over the generated code, since AutoAgent operates on a zero-code generation mechanism that may limit direct intervention in the detailed coding process. ### When should I avoid neuron-ai? - If your project demands immediate support for a wider range of languages or broader ecosystems beyond PHP. - When requiring a framework that offers more community-driven extensions or tools as Neuron-AI's ecosystem might be less expansive compared to general-purpose libraries that also cover agentic use-cs ### Is AutoAgent or neuron-ai more popular on GitHub? AutoAgent has more GitHub stars (9,451 vs 2,005). Stars measure visibility, not whether either tool fits your constraints. ### Are AutoAgent and neuron-ai open source? Yes - both are open-source projects on GitHub (AutoAgent: MIT, neuron-ai: MIT). ### Where can I find alternatives to AutoAgent or neuron-ai? GraphCanon lists graph-backed alternatives at /tools/hkuds-autoagent/alternatives and /tools/neuron-core-neuron-ai/alternatives (/tools/hkuds-autoagent/alternatives.md, /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 /compare/hkuds-autoagent-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, AutoAgent or neuron-ai? AutoAgent: Slowing. 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 AutoAgent and neuron-ai? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: AutoAgent: /tools/hkuds-autoagent/trust; neuron-ai: /tools/neuron-core-neuron-ai/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=hkuds-autoagent`](/api/graphcanon/graph?tool=hkuds-autoagent) - 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/_