neuron-ai
Neuron AI is a PHP framework for building AI-driven agent applications that integrate LLMs, tools, vector databases, and memory components. It provides a unified architecture designed to scale from simple prototypes to complex multi-agent production systems without framework switching.
Key facts
Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.
| Field | Value |
|---|---|
| Repository | neuron-core/neuron-ai |
| Owner | neuron-core |
| Primary language | PHP |
| License | MIT — OSI-approved |
| Stars | 2k |
| Forks | 226 |
| Open issues | 12 |
| Latest release | 3.15.22 (2026-07-03) |
| Last updated | 2026-07-03 |
| Source | https://github.com/neuron-core/neuron-ai |
What neuron-ai is
Neuron offers a Workflow-based architecture for PHP 8.1+ that abstracts LLM provider integration (Anthropic, OpenAI, Ollama, Gemini, and others), tool/toolkit orchestration, MCP support, RAG capabilities, and multi-agent coordination. It includes monitoring via Inspector integration and structured output support.
Get the neuron-ai source
Clone the repository and explore it locally.
git clone https://github.com/neuron-core/neuron-ai.gitcd neuron-ai# follow the project's README for install & configurationNeed it deployed, integrated, or customized instead? DEV.co ships production installs.
Best use cases
Implementation considerations
- Requires PHP 8.1+ and Composer; integrates with existing Laravel or Symfony applications but can be used standalone.
- LLM provider credential management and rate-limit handling must be implemented; framework does not abstract authentication complexity.
- Memory and conversation history are framework-managed but persistence backend selection (e.g., database, cache) and retention policies are your responsibility.
- Tool/toolkit development follows framework conventions; test and validate tool schemas carefully to avoid silent LLM call failures.
- Multi-agent scenarios require explicit workflow design; framework provides primitives but orchestration logic is application-specific.
When to avoid it — and what to weigh
- You require production-proven stability across enterprise scale — Project created March 2025 with latest release July 2026; limited track record of large-scale deployments. Newer frameworks may lack battle-tested patterns for high-availability requirements.
- Your team uses non-PHP stacks primarily — Neuron is PHP-native. If your infrastructure is Python, Node.js, or Go-centric, integrating a PHP agent framework introduces operational complexity and language-switching overhead.
- You need guaranteed low-latency, real-time inference — Agent-based systems inherently involve multiple LLM calls and decision loops. PHP execution model and network roundtrips to external LLM providers may not meet sub-100ms requirements.
- You require extensive pre-built domain-specific agents — Neuron provides a framework and component registry, not off-the-shelf agents for healthcare, finance, or other verticals. Custom development required for specialized domains.
License & commercial use
MIT License. Permissive OSI-approved license allowing unrestricted use, modification, and distribution in proprietary and open-source projects.
MIT License permits commercial use, modification, and distribution without restriction. No license payment required. Verify that any dependencies and integrated third-party services (LLM providers, vector DBs, Inspector) comply with your commercial requirements separately.
DEV.co evaluation signals
Editorial assessment — not user reviews. Directional, with an explicit confidence level.
| Signal | Assessment |
|---|---|
| Maintenance | Active |
| Documentation | Strong |
| License clarity | Clear |
| Deployment complexity | Moderate |
| DEV.co fit | Good |
| Assessment confidence | High |
LLM provider API keys and credentials must be managed securely (environment variables recommended by example). Tool/toolkit inputs should be validated to prevent prompt injection or unintended LLM behavior. Conversation history and memory persistence should consider PII storage and data retention policies. Vector database and external service integrations inherit their respective security postures. No explicit security audit or vulnerability disclosure process mentioned in provided data.
Alternatives to consider
LangChain (Python) or LangChain.js (Node.js)
Mature, multi-language agentic frameworks with broader ecosystem and adoption; Neuron is PHP-specific and newer.
Laravel AI / Blade Components (PHP ecosystem)
Lighter-weight PHP AI integration for Laravel; less opinionated than Neuron, suits simpler use cases.
Crew AI (Python) or AutoGPT ecosystem
Python-native multi-agent orchestration frameworks; battle-tested at scale with larger community; Neuron targets PHP specifically.
Build on neuron-ai with DEV.co software developers
Contact our engineers to assess Neuron AI fit for your agentic application requirements, architecture review, and deployment planning.
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neuron-ai FAQ
Can I switch LLM providers without rewriting agent code?
What if I don't want to use external LLM services?
Is Neuron production-ready?
Do I need Laravel or Symfony to use Neuron?
Work with a software development agency
DEV.co is a software development agency delivering custom software development services to companies building on open source. Our software developers and web developers design, integrate, and ship production systems — spanning web development, APIs, AI, data, and cloud. If neuron-ai is part of your vector databases roadmap, our team can implement, customize, migrate, and maintain it.
Evaluate Neuron AI for Your PHP AI Initiative
Contact our engineers to assess Neuron AI fit for your agentic application requirements, architecture review, and deployment planning.