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Neuron is a PHP framework for building agentic applications, handling provider orchestration, memory management, UI integration and debugging.

Documentation in progress

The product identity and source are confirmed, but some specifications or interface details do not yet have citable manufacturer evidence. Missing evidence is not treated as a negative claim.

Product information

Information below comes from the product website or public documentation. Pricing and availability may change.

Category
Robot Development
Maturityi
Available
Deploymenti
Self-hosted

Reality check

A demo shows what may be possible. These points help judge whether the product fits day-to-day use.

Works well when
  • Simulation, control, perception and repeatable experiments
  • Teams that can manage dependencies and hardware interfaces
  • Prototyping before committing to a physical deployment
What to check
  • Supported hardware, GPU requirements and version compatibility
  • Documentation, examples and community response
  • How simulation results transfer to the real robot
Not a magic solution
  • A guarantee that simulation equals a production cell
  • A replacement for safety validation on hardware
  • A low-maintenance toolchain without version ownership

About

Neuron is a PHP framework for developing agentic applications, built by the team behind Inspector.dev. It handles provider orchestration, memory management, UI integration and debugging so developers can focus on their project's core logic. The framework offers a unified AIProviderInterface across providers such as Anthropic, Ollama, OpenAI, Gemini and Mistral, plus components for memory, embeddings, vector stores and toolkits. It targets event-driven workflows, human-in-the-loop, multi-agent orchestration, streaming and agentic UI protocols like AG-UI, Vercel AI SDK and MCP.

Tags

Computer VisionLLM-PoweredHardware

Scenes

Production Line Automation

Product details

Manufacturer / team
Inspector.dev
Product typei
Framework

The cost iceberg

The purchase price is only one part of an automation project.

GPU, simulation assets and hardware adapters
Dependencies, datasets and test infrastructure
Version pinning, documentation and support
Sim-to-real gaps and safety validation