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Vector Databases · neuron-core

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.

Source: GitHub — github.com/neuron-core/neuron-ai
2k
GitHub stars
226
Forks
PHP
Primary language
MIT
License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

FieldValue
Repositoryneuron-core/neuron-ai
Ownerneuron-core
Primary languagePHP
LicenseMIT — OSI-approved
Stars2k
Forks226
Open issues12
Latest release3.15.22 (2026-07-03)
Last updated2026-07-03
Sourcehttps://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.

Quickstart

Get the neuron-ai source

Clone the repository and explore it locally.

terminalbash
git clone https://github.com/neuron-core/neuron-ai.gitcd neuron-ai# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

PHP-based conversational agents with memory and tool use

Build chatbots, data assistants, or customer support agents that maintain conversation context, call external tools, and provide consistent responses—ideal for PHP monoliths and Laravel applications.

Retrieval-Augmented Generation (RAG) applications

Create agents that query vector databases and external knowledge sources to provide grounded, contextual responses for document analysis, research assistants, or knowledge-base interactions.

Multi-agent orchestration and agentic workflows

Coordinate multiple specialized agents in complex business processes (e.g., data analysis, report generation, decision-making) within a single PHP ecosystem without external orchestration frameworks.

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.

SignalAssessment
MaintenanceActive
DocumentationStrong
License clarityClear
Deployment complexityModerate
DEV.co fitGood
Assessment confidenceHigh
Security considerations

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.

Software development agency

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.

Talk to DEV.co

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neuron-ai FAQ

Can I switch LLM providers without rewriting agent code?
Yes. Neuron abstracts LLM provider differences behind an interface; change the provider class in one line and the agent logic remains unchanged.
What if I don't want to use external LLM services?
Ollama is supported, allowing local LLM inference. However, all provider integrations interact with external or self-hosted services; pure offline execution is not addressed in provided data.
Is Neuron production-ready?
Unknown. Project is active and MIT-licensed, but created March 2025 with limited deployment history. Requires independent security review and load testing before mission-critical deployments.
Do I need Laravel or Symfony to use Neuron?
No. Neuron is framework-agnostic and can be used in standalone PHP applications. Laravel/Symfony integration is natural but not mandatory.

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.