Assembly Line

Neuron AI

The Agentic Framework of the PHP ecosystem to build production-ready AI driven applications. Connect components (LLMs, Tools, vector DBs, memory) to agents that interact with your data and UI.

Neuron AI is an open-source vector database project on GitHub under the MIT license (permissive), with 2.2k stars. It is built with Php-src and TypeScript. Its last push was today.

Stars
2.2k
License
MIT
Activity
Active
Latest release
4.1.19

Code on GitHub Website

Judgement

What it is
Framework or platform
What it does
A PHP framework for building AI agents that connects LLM providers, tools, vector stores and memory, with workflows and observability.
Adopt it when
Your application is in PHP or Laravel and you want to add agents without a separate Python service.
Watch out
About 18 months old and largely led by one developer.
Ready for
Usable
Runs as
Library
Built with
PHP
How established
Young: started 20 months ago, latest release 4.1.19.
What the license allows
You can build it into a product you sell, as long as you keep its copyright notice.

Judged on 2026-11-03 from the project's README and GitHub data. The license and age lines are worked out directly.

Built from

Follow it down: Neuron AI → Php-src → GCC → LLVM project → runs on a microchip

How compilers were built, back to punched paper tape

Open-source alternatives to Neuron AI

  1. 1
    Milvus milvus-io

    Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

    Building block Production-ready You need vector search over hundreds of millions of embeddings or more and have the people to run a distributed system.

    ★ 47k Apache-2.0 Go Active, pushed today
  2. 2
    Qdrant qdrant

    Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

    Building block Production-ready You are building semantic search, RAG or recommendations and want a dedicated vector store that is simple to self-host.

    ★ 35k Apache-2.0 Rust Active, pushed today
  3. 3
    Cognee topoteretes

    Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory with small models for free

    Building block Usable You build agents that need long-term memory across sessions and want graph-based retrieval rather than plain vector RAG.

    ★ 33k Apache-2.0 Python Active, pushed today
  4. 4
    Chroma chroma-core

    Search infrastructure for AI

    Building block Production-ready You are building retrieval for an LLM app and want something simple to start with locally.

    ★ 30k Apache-2.0 Rust Active, pushed 3 days ago
  5. 5
    Zvec alibaba

    A lightweight, lightning-fast, in-process vector database

    Building block Usable You want SQLite-style embedded vector search inside an app or agent without a separate server.

    ★ 16k Apache-2.0 C++ Active, pushed today
  6. 6
    LEANN StarTrail-org

    [MLsys2026 Best Paper]: https://arxiv.org/abs/2506.08276. RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.

    Building block Experimental You want to search your own files, email or chat history with RAG on a laptop and storage is the constraint.

    ★ 14k MIT Python Active, pushed yesterday
  7. 7
    LangChain4j langchain4j

    LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and vector stores, and makes implementing tool calling (including MCP support), agents and RAG easy. It integrates seamlessly with enterprise Java frameworks like Quarkus and Spring Boot.

    Framework or platform Production-ready You are adding LLM features to a Java or Kotlin application and want to stay on the JVM.

    ★ 13k Apache-2.0 Java Active, pushed today
  8. 8
    Txtai neuml

    💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

    Framework or platform Usable You want one Python library to build semantic search and RAG locally with few external services.

    ★ 13k Apache-2.0 Python Active, pushed today

Commercial vector databases

  1. 1
    Pinecone Pinecone Systems

    Pinecone is the trusted AI knowledge company. Its AI knowledge platform—Database, Nexus, and Marketplace—powers accurate, fast, cost-effective AI for 10,000+ customers and 1M developers worldwide.

    Building block Production-ready You need vector search at scale in production and do not want to run the infrastructure.

    Commercial

Stars, license and activity come from GitHub and refresh on a rolling hourly schedule. The project's own description is quoted as written.