llms

WilmerAI is one of the oldest LLM semantic routers. It uses multi-layer prompt routing and complex workflows to allow you to not only create practical chatbots, but to extend any kind of application that connects to an LLM via REST API. Wilmer sits between your app and your many LLM APIs, so that you can manipulate prompts as needed.

Self-healing infrastructure for AI agent payments. 90.3% auto-recovery.

A curated collection of awesome AI Agents and LLM Apps built with multiple tech stacks, showcasing real-world implementations using OpenAI, Gemini, local models, and various AI frameworks.

👩‍⚖️ Agent-as-a-Judge: The Magic for Open-Endedness

Emacs as your personal AI assistant. Use LLMs such as ChatGPT or LLaMA for text generation or DALL-E and Stable Diffusion for image generation. Also supports speech input / output.

Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models

LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.

Llama 3+ inference in pure Java

Training/Fine-tuning at the speed of light

Open‑WebUI Tools is a modular toolkit designed to extend and enrich your Open WebUI instance, turning it into a powerful AI workstation. With a suite of over 15 specialized tools, function pipelines, and filters, this project supports academic research, agentic autonomy, multimodal creativity, workflows, and more

A minimal Python package for storing and retrieving text using chunking, embeddings, and vector search.

An implementation of iterative deep research using the OpenAI Agents SDK

Top-Conference Paper Figure Reproduction & Plotting Skills | 顶会论文图表复现绘制Skills

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. ACM Computing Surveys, 2026.

A library for prompt engineering and optimization (SAMMO = Structure-aware Multi-Objective Metaprompt Optimization)

Your Company Agentic Operating System

Generative AI Examples is a collection of GenAI examples such as ChatQnA, Copilot, which illustrate the pipeline capabilities of the Open Platform for Enterprise AI (OPEA) project.

Extend existing LLMs way beyond the original training length with constant memory usage, without retraining

Hashbrown is a framework for building agents that run the browser. Built for Angular and React.

Give your AI agents persistent, collective memory — with deduplicating absorb, supersession lineage, semantic search, and a graph UI. Speaks MCP.

Machine learning Guide. Learn all about Machine Learning Tools, Libraries, Frameworks, Large Language Models (LLMs), and Training Models.

LLMFlows - Simple, Explicit and Transparent LLM Apps

A NestJS module to effortlessly create Model Context Protocol (MCP) servers for exposing AI tools, resources, and prompts.

Editable, part-aware 3D generation from text or reference images. Open-source client for nova3d.xyz.

Generative Representational Instruction Tuning

The official repo of EurekaClaw

Build LLM-powered Dart/Flutter applications.

one sentence generates any graph

The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models (LLMs). Allowing users to chat with LLM models, execute structured function calls and get structured output. Works also with models not fine-tuned to JSON output and function calls.

Memento is a Python app that records everything you do on your computer and lets you go back in time, search, and chat with a LLM (Large Language Model) to find back information about what you did.