llms

Local, open-source AI app builder for power users ✨ v0 / Lovable / Replit / Bolt alternative 🌟 Star if you like it!

Structured Outputs

主要记录大语言大模型（LLMs） 算法（应用）工程师相关的知识及面试题

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

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.

A blazing fast AI Gateway with integrated guardrails. Route to 1,600+ LLMs, 50+ AI Guardrails with 1 fast & friendly API.

📋 A list of open LLMs available for commercial use.

Pocket Flow: Codebase to Tutorial

Access large language models from the command-line

The official GitHub page for the survey paper "A Survey of Large Language Models".

The best way to get AI coding agents to solve hard problems in complex codebases.

AI Observability & Evaluation

A curated list of 120+ LLM libraries category wise.

Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!

An Open-Source Asynchronous Coding Agent

The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.

"AutoAgent: Fully-Automated and Zero-Code LLM Agent Framework"

Easily fine-tune, evaluate and deploy Qwen, Gemma, or any open weight LLM!

Build effective agents using Model Context Protocol and simple workflow patterns

Build autonomous AI agents in Python.

Easy Data Preparation with latest LLMs-based Operators and Pipelines.

22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.

NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.

Plano is an AI-native proxy server and data plane for agentic apps. Smart LLM routing, observability, agent orchestration, and guardrails so you stay focused on your agents core logic.

Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..

Open Source Neural Machine Translation and (Large) Language Models in PyTorch

TalkToFigma: MCP integration between AI Agent (Cursor, Claude Code, Codex) and Figma, allowing Agentic AI to communicate with Figma for reading designs and modifying them programmatically.

Data processing for and with foundation models! 🍎 🍋 🌽 ➡️ ➡️🍸 🍹 🍷

A log of things I'm learning

🔍 An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT)