LLM 模型排行

R library to run Ollama language models

Transform your .txt and .md notes into visually appealing and well-structured Markdown for Obsidian, powered by local LLMs using Ollama.

🦙 echoOLlama: A real-time voice AI platform powered by local LLMs. Features WebSocket streaming, voice interactions, and OpenAI API compatibility. Built with FastAPI, Redis, and PostgreSQL. Perfect for private AI conversations and custom voice assistants.

Web UI for Ollama built in Java with Vaadin, Spring Boot and Ollama4j

Serverless AI API Gateway / Vercel / Cloudflare / Multiple Provider / Fallback Chain

<밑바닥부터 만들면서 공부하는 LLM>(길벗, 2025)의 코드 저장소

[ICLR 2026] Beyond a Million Tokens: Benchmarking and Enhancing Long-Term Memory in LLMs

Ruby Implementation of Nano Bots: small, AI-powered bots that can be easily shared as a single file, designed to support multiple providers such as Anthropic Claude, Cohere Command, Google Gemini, Maritaca AI, Mistral AI, Ollama, OpenAI ChatGPT, and others, with support for calling tools (functions).

Memory that learns what works.

Production-ready RAG Framework (Python/FastAPI). 1-line config swaps: 6 Vector DBs (Weaviate, Pinecone, Qdrant, ChromaDB, pgvector, MongoDB), 5 LLMs (Gemini, OpenAI, Claude, Ollama, OpenRouter). OpenAI-compatible API. 2100+ tests.

Top Dynamic AI World Simulation & Storytelling Tools 2026

A WhatsApp chatbot that leverages Bing AI's and others LLMs conversational capabilities.

Large Language Model (LLM) Inference API and Chatbot

A collection of personally developed projects contributing towards the advancement of Artificial General Intelligence(AGI)

A chat interface that uses the REMO memory system with LangFlow

A simple NPM interface for seamlessly interacting with 36 Large Language Model (LLM) providers, including OpenAI, Anthropic, Google Gemini, Cohere, Hugging Face Inference, NVIDIA AI, Mistral AI, AI21 Studio, LLaMA.CPP, and Ollama, and hundreds of models.

End-to-end educational RAG system: dual-engine retrieval (BM25 + BGE-M3 hybrid vector search), adaptive query strategies (HyDE/sub-query/backtracking), BERT intent classification, BGE-Reranker precision ranking, Chinese-optimized text splitting, and FastAPI SSE streaming — from documents to real-time answers.

Summarize web pages and YouTube videos with pluggable LLM backends (Ollama, OpenAI). CLI, library, and Gradio UI.

A general-purpose Python framework for building LLM agents and multi-agent systems. "Four lines of code, an agent with memory."

Local-first AI knowledge app and Agent Skill with evidence-backed Wiki, an interactive knowledge universe, Viki Q&A, and shareable knowledge galaxies.