1.alibaba / spring-ai-alibaba
Agentic AI Framework for Java Developers
- artificial-intelligence
- java
- spring-ai
- agentic
- context-engineering
- multi-agent
- +3 more
Ranked by Attention Score: stars gained over the last 180 complete days
37 repositories by Attention Score · May 8, 2026 – Nov 3, 2026 (UTC)
Agentic AI Framework for Java Developers
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.
Apache Doris is a real-time analytics and hybrid search database for AI agents.
Style and Grammar Checker for 25+ Languages
Open source real-time translation app for Android that runs locally
Desktop app for managing BibTeX and BibLaTeX (.bib) libraries
The Unified and Autonomous Development Platform
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
An AI-powered next-generation open source real-time observability system.
MockServer is an HTTP(S) mock server and proxy for testing that lets you mock APIs, inspect and modify live traffic, and inject failures. It supports HTTP/1.1, HTTP/2, gRPC, WebSockets, TCP and more on a single port, with additional support for HTTP/3, message brokers, and AI/LLM APIs.
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
Android Input Method Editor (IME) based on Whisper
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
Java interface to OpenCV, FFmpeg, and more
Statistical Machine Intelligence & Learning Engine
A list of useful Java frameworks, libraries, software and hello worlds examples
Public domain software for processing and analyzing scientific images
Open scientific N-dimensional image processing :microscope: :sparkler:
Java dataframe and visualization library
Artificial Intelligence framework for games based on libGDX or not. Features: Steering Behaviors, Formation Motion, Pathfinding, Behavior Trees and Finite State Machines
Hopsworks - Data-Intensive AI platform with a Feature Store
A simple and highly efficient RTS-game-inspired environment for reinforcement learning
Apache cTAKES is a Natural Language Processing (NLP) platform for clinical text.
A Java library to use the OpenAI Api in the simplest possible way.
Anahata ASI - Artificial Super Intelligence - Cross-Platform, Modular, Enterprise Ready, Open Source, Pure Java, AGI and ASI Containers. Context Window Garbage Collector, Stateful Toolkits, Flight Recorder. Autonomous Observable Auditable JVM Agent with JIT java code execution. Anahata ASI SDK, Anahata ASI Desktop, Anahata ASI Studio - NetBeans.
Capacitor plugin for speech recognition.
Java Scientific Computing Library - Signal Processing, FFT, Filters, PSD, DCT, SciPy-like APIs for JVM & Android used in Machine Learning and Data Science.
java deep learning algorithms and deep neural networks with gpu acceleration
⚡️ Capacitor plugin for synthesizing speech from text.
A platform independent tensor library with autograd for the JVM
Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning
Android TensorFlow MachineLearning Example (Building TensorFlow for Android)
Java Statistical Analysis Tool, a Java library for Machine Learning
CogComp's Natural Language Processing Libraries and Demos: Modules include lemmatizer, ner, pos, prep-srl, quantifier, question type, relation-extraction, similarity, temporal normalizer, tokenizer, transliteration, verb-sense, and more.
DistilBERT / GPT-2 for on-device inference thanks to TensorFlow Lite with Android demo apps
Integrate with the latest language models, image generation, speech, and deep learning frameworks like ChatGPT, DALL·E, and Cohere using few java lines.