A simple, performant, and scalable Jax LLM!
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Native LLM inference server for Apple Silicon. OpenAI + Anthropic API compatible. No Python. Zig backend, Swift frontend macOS app with chat, music, voice, video generation.
- agent
- anthropic-api
- apple-silicon
- claude-code
Openai style api for open large language models, using LLMs just as chatgpt! Support for LLaMA, LLaMA-2, BLOOM, Falcon, Baichuan, Qwen, Xverse, SqlCoder, CodeLLaMA, ChatGLM, ChatGLM2, ChatGLM3 etc. 开源大模型的统一后端接口
Immersive AI-driven Galgame chat with emotional expressions, desktop pet, scheduling, and interactive story modules. / 一款沉浸式 AI-Galgame 聊天软件，附带桌宠，日程，剧情功能
💬 RasaGPT is the first headless LLM chatbot platform built on top of Rasa and Langchain. Built w/ Rasa, FastAPI, Langchain, LlamaIndex, SQLModel, pgvector, ngrok, telegram
Laravel’s #1 real-time chat package. Direct messages, groups, voice notes, and much more, with a full messenger UI — plus a headless API. Install in one command.
- laravel
- laravel-package
- chat
- php
τ-Bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains
This includes the original implementation of SELF-RAG: Learning to Retrieve, Generate and Critique through self-reflection by Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi.
Fast, local-first web content extraction for LLMs. Scrape, crawl, extract structured data — all from Rust. CLI, REST API, and MCP server.
A unified interface for working with LLMs in Laravel
⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF, SFT etc.
- nlp
- text-classification
- text-matching
- information-extraction
The official CLI for Agentic Document Extraction (ADE) by LandingAI — parse documents and extract schema-shaped data from your terminal
The Self-Coding System for Your App — Alan AI SDK for Web
- voice-ai
- conversational-ai
- machine-learning
- ai-chat
A curated, battle-tested AI-coding toolkit: Claude Code plugins, subagent orchestration, quality gates, and ready-to-copy prompts, extracted from real production use.
AssetOpsBench - Industry 4.0: A unified benchmark and framework for building, orchestrating, and evaluating domain-specific AI agents for Industry 4.0 asset operations and maintenance, with 460+ scenarios, 5 specialist agents (IoT, FMSR, TSFM, Work Order,...), and multi-agent orchestration blueprints (MetaAgent, AgentHive) over MCP.
- llm-agents
- model-context-protocol
- time-series-forecasting
- condition-based-maintenance
Olive: Simplify ML Model Finetuning, Conversion, Quantization, and Optimization for CPUs, GPUs and NPUs.
State-of-the-art Image & Video CLIP, Multimodal Large Language Models, and More!
Doing simple retrieval from LLM models at various context lengths to measure accuracy
A modular RL library to fine-tune language models to human preferences
- language-modeling
- nlp
- reinforcement-learning
- dialogue-generation
GPT-Prompt-Hub is an open-source community-driven repository dedicated to the collection, sharing, and refinement of custom GPT prompts
China Unicom's Yuanjing Wanwu Agent Platform is an enterprise-grade, multi-tenant AI agent development platform. It helps users build applications such as intelligent agents, workflows, and rag, and also supports model management. The platform features a developer-friendly license, and we welcome all developers to build upon the platform.
Experimental toolkit for auto-generating codebase documentation using LLMs
- documentation-generator
- language-model
- cli-tool
- typescript
一套为研究生和学术研究者设计的完整AI Prompt库 📖 包含内容： ✨ 40+ 精心设计的AI Prompt ✨ 论文选题系统方法（生成、评估、论证） ✨ 论文查找快速方案（8个不同方案） ✨ 文献综述框架和工具 ✨ Excel自动评估表格 ✨ 3个完整的论证模板 🚀 核心优势： ⚡ 节省时间 50-70%（选题3-5天而不是2-3周） 🎯 科学方法（基于系统的5维度评估体系） 💡 即插即用（所有Prompt直接复制可用） 📚 全流程覆盖（从选题到出版的完整方案） 🎓 适用人群： 👨🎓 硕士研究生 | 博士研究生 | 本科毕业设计 | 学术研究者 | 内容创作者
- academic-research
- ai
- ai-prompts
- ailearning
UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured checks (covering language, code, embedding use-cases), perform root cause analysis on failure cases and give insights on how to resolve them.
- machine-learning
- experimentation
- llm-prompting
- llm-test