LangChain4j is an open-source Java library that simplifies the integration of LLMs into Java applications through a unified API, providing access to popular LLMs and vector databases. It makes implementing RAG, tool calling (including support for MCP), and agents easy. LangChain4j integrates seamlessly with various enterprise Java frameworks.

InternAgent-1.5: A Unified Agentic Framework for Long-Horizon Autonomous Scientific Discovery

A unified framework to solve and analyze heterogeneous-agent macro models.

TrinityGuard: A Unified Framework for Safeguarding Multi-Agent Systems

Context Encoding for Semantic Segmentation MegaDepth: Learning Single-View Depth Prediction from Internet Photos LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume On the Robustness of Semantic Segmentation Models to Adversarial Attacks SPLATNet: Sparse Lattice Networks for Point Cloud Processing Left-Right Comparative Recurrent Model for Stereo Matching Enhancing the Spatial Resolution of Stereo Images using a Parallax Prior Unsupervised CCA Discovering Point Lights with Intensity Distance Fields CBMV: A Coalesced Bidirectional Matching Volume for Disparity Estimation Learning a Discriminative Feature Network for Semantic Segmentation Revisiting Dilated Convolution: A Simple Approach for Weakly- and Semi- Supervised Semantic Segmentation Unsupervised Deep Generative Adversarial Hashing Network Monocular Relative Depth Perception with Web Stereo Data Supervision Single Image Reflection Separation with Perceptual Losses Zoom and Learn: Generalizing Deep Stereo Matching to Novel Domains EPINET: A Fully-Convolutional Neural Network for Light Field Depth Estimation by Using Epipolar Geometry FoldingNet: Interpretable Unsupervised Learning on 3D Point Clouds Decorrelated Batch Normalization Unsupervised Learning of Depth and Egomotion from Monocular Video Using 3D Geometric Constraints PU-Net: Point Cloud Upsampling Network Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer Tell Me Where To Look: Guided Attention Inference Network Residual Dense Network for Image Super-Resolution Reflection Removal for Large-Scale 3D Point Clouds PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image Fully Convolutional Adaptation Networks for Semantic Segmentation CRRN: Multi-Scale Guided Concurrent Reflection Removal Network DenseASPP: Densely Connected Networks for Semantic Segmentation SGAN: An Alternative Training of Generative Adversarial Networks Multi-Agent Diverse Generative Adversarial Networks Robust Depth Estimation from Auto Bracketed Images AdaDepth: Unsupervised Content Congruent Adaptation for Depth Estimation DeepMVS: Learning Multi-View Stereopsis GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose GeoNet: Geometric Neural Network for Joint Depth and Surface Normal Estimation Single-Image Depth Estimation Based on Fourier Domain Analysis Single View Stereo Matching Pyramid Stereo Matching Network A Unifying Contrast Maximization Framework for Event Cameras, with Applications to Motion, Depth, and Optical Flow Estimation Image Correction via Deep Reciprocating HDR Transformation Occlusion Aware Unsupervised Learning of Optical Flow PAD-Net: Multi-Tasks Guided Prediciton-and-Distillation Network for Simultaneous Depth Estimation and Scene Parsing Surface Networks Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation TextureGAN: Controlling Deep Image Synthesis with Texture Patches Aperture Supervision for Monocular Depth Estimation Two-Stream Convolutional Networks for Dynamic Texture Synthesis Unsupervised Learning of Single View Depth Estimation and Visual Odometry with Deep Feature Reconstruction Left/Right Asymmetric Layer Skippable Networks Learning to See in the Dark

Sayna is a unified Voice Layer for AI Agents with a seemless integration to an existing agentic frameworks

A smaller, lighter-weight version of OpenClaw, natively multi-agent, compiles to Rust, and built on the Swarms framework and Swarms ecosystem. One API, unified messaging across Telegram, Discord, and WhatsApp with optional Claude-powered reasoning.

MCPHub is an embeddable Model Context Protocol (MCP) solution for AI services. Seamlessly integrate MCP servers with OpenAI Agents, LangChain, and Autogen frameworks through a unified interface. Simplifies configuration, setup, and management of MCP tools across different AI applications.

Desktop Tiny Agent is a lightweight, modular desktop intelligent agent framework. It offers plugin extensibility, task scheduling (sync/async), configuration management, and unified logging, supporting dynamic plugin loading for task execution. With an out-of-the-box CLI and examples, it’s ideal for quickly building extensible automation assistants

😎 Sagentic.ai Agent Framework - Sagentic.ai is a unified platform for building, running and scaling autonomous agents.

This accelerator unifies enterprise data with Microsoft Fabric and applies agentic AI to enable faster, smarter decisions. With Microsoft Foundry agents and the Microsoft Agent Framework orchestration, teams can automate workflows, query data in natural language, and uncover insights that fuel agility, collaboration, and innovation.

The First Unified Agent Data Synthesis Framework for Custom Agentic Task with all-in-one envrionment

OpenEarthAgent is a unified framework for tool-augmented geospatial agents.

LLM router + minimal agent framework in one. Call any LLM API with OpenAI format. Unified billing, tools, retries, fallback, logging. Build agents and AI apps in pure Python. Full control. Zero magic.

The Unified Intent Mediator (UIM) protocol standardizes interactions between AI agents and web services, streamlining how intents are discovered, executed, and managed. It provides a secure and efficient framework, simplifying integration and enabling scalable, autonomous AI-driven applications and workflows.

BackdoorAgent is a stage-aware framework and benchmark that instruments LLM-agent workflows (planning, memory, tools) to systematically inject, track, and evaluate backdoor triggers across multi-step trajectories using unified metrics like ASR and clean accuracy.

[ICML 2025] UDora: A Unified Red Teaming Framework against LLM Agents

Code of our paper "A Unified Agentic Framework for Evaluating Conditional Image Generation".

ContextLoom is the shared "brain" for multi-agent systems. It weaves together memory threads from frameworks like DSPy and CrewAI into a unified, persistent context, powered by Redis and hydrated from your existing databases.

A unified framework for building, running, and training general agents at scale.

[WOSAC 2025] Revisit Mixture Models for Multi-Agent Simulation: Experimental Study within a Unified Framework

MEDDxAgent: A Unified Modular Agent Framework for Explainable Automatic Differential Diagnosis

Modular TypeScript framework for building LLM-powered apps. Unified streaming API, agent loop, and CLI coding agent. Four providers. Zero bloat.

A Go toolkit for building AI agents and applications across multiple providers. Unified LLM client, agent framework with handoffs, tool calling, streaming, structured output, MCP integration, and cost tracking.

⚕️ the world's first unified, lifecycle-centric regulatory framework specifically designed for autonomous AI agents in medical environments (270+ requirements, 3 risk categories).

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A unified framework for building and evaluating safe multi-agent systems. Write once, run on Autogen, LangGraph, or OpenAI Agents. Built-in safety evaluation (ARIA, DHARMA), attack detection, and support for benchmarks like AgentHarm and ASB.

[JMLR 2023] A Unified Framework for Factorizing Distributional Value Functions for Multi-Agent Reinforcement Learning

NeuroCore is a self-hosted, modular AI agent framework for building persistent, tool-using autonomous systems. It combines workflows, long-term memory, RAG, and a plugin-based architecture into a unified platform for advanced AI applications.

Unified AI Agent Development Platform - 35+ projects consolidated using SPARC Framework (claude-flow, agentic-flow, ruvector, agentdb)