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Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience

《深入理解 AI Agent：设计原理与工程实践》（李博杰 著）开源主仓库：全书正文、编译版 PDF 与按章配套代码

The Open-Source Multimodal AI Agent Stack: Connecting Cutting-Edge AI Models and Agent Infra

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

YC (S26) | Open Computer History | Continuously record your company computer work, map your workflows, help you find work worth automating, and power your agents' context

☁️ Build multimodal AI applications with cloud-native stack

Janus-Series: Unified Multimodal Understanding and Generation Models

Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.6, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM4.5v, Gemma4, Llava, Phi4, ...) (AAAI 2025).

🔍大模型应用开发实战一：RAG 技术全栈指南，在线阅读地址：https://datawhalechina.github.io/all-in-rag/

Production ready toolkit to run AI locally

SeaTunnel is a multimodal, high-performance, distributed, massive data integration tool.

Deeplake is AI Data Runtime for Agents. It provides serverless postgres with a multimodal datalake, enabling scalable retrieval and training.

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

Open-source framework for building agentic apps in JavaScript, Go, Dart, and Python, built and used in production by Google

Solve Visual Understanding with Reinforced VLMs

A visual playground for agentic workflows: Iterate over your agents 10x faster

High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale

A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines

A Next-Generation Training Engine Built for Ultra-Large MoE Models

Align Anything: Training All-modality Model with Feedback

Plug in and Play Implementation of Tree of Thoughts: Deliberate Problem Solving with Large Language Models that Elevates Model Reasoning by atleast 70%

The Ruby-native AI framework. Chats, agents, tools, images, audio, and video through one consistent API, in plain Ruby or Rails.

One-for-All Multimodal Evaluation Toolkit Across Text, Image, Video, and Audio Tasks

An open-source model family for long-form speech, dialogue synthesis, voice design, sound effects, and real-time streaming TTS

[ICML'26] SimpleMem: Efficient Lifelong Memory for LLM Agents — Text & Multimodal

Open-source multimodal retrieval engine (Morphik Core)

Code and models for ICML 2024 paper, NExT-GPT: Any-to-Any Multimodal Large Language Model

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

InternGPT (iGPT) is an open source demo platform where you can easily showcase your AI models. Now it supports DragGAN, ChatGPT, ImageBind, multimodal chat like GPT-4, SAM, interactive image editing, etc. Try it at igpt.opengvlab.com (支持DragGAN、ChatGPT、ImageBind、SAM的在线Demo系统)