LLM 模型排行

Eagle: Frontier Vision-Language Models with Data-Centric Strategies

A quick guide (especially) for trending instruction finetuning datasets

Token conscious database MCP server for Postgres, MySQL, SQL Server, MariaDB, SQLite.

Build production-ready AI agents in both Python and Typescript.

II-Agent: a new open-source framework to build and deploy intelligent agents

Hypergraph is more powerful. Transform unstructured text into structured knowledge with LLMs. Graphs, hypergraphs, and spatio-temporal extractions — with one command.

[CVPR 2023] DepGraph: Towards Any Structural Pruning; LLMs, Vision Foundation Models, etc.

An AI-powered file management tool that ensures privacy by organizing local texts, images. Using Llama3.2 3B and Llava v1.6 models with the Nexa SDK, it intuitively scans, restructures, and organizes files for quick, seamless access and easy retrieval.

The open-source AI workbench for scientific research

A native macOS app that allows users to chat with a local LLM that can respond with information from files, folders and websites on your Mac without installing any other software. Powered by llama.cpp.

基于LangChain和ChatGLM-6B等系列LLM的针对本地知识库的自动问答

Leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents

A streamlined and customizable framework for efficient large model (LLM, VLM, AIGC) evaluation and performance benchmarking.

Distributed AI/LLM for the people. Share compute privately or publicly to power your agents and chat.

🔥 Comprehensive survey on Context Engineering: from prompt engineering to production-grade AI systems. hundreds of papers, frameworks, and implementation guides for LLMs and AI agents.

Automatic Generation of Visualizations and Infographics using Large Language Models

🕹️ Open-source, developer-first LLMOps platform designed to streamline prompt design, version management, instant delivery, collaboration, troubleshooting, observability and more.

The simplest desktop client for OpenClaw 🦞 — bridge your Agent to WeChat, Feishu, Slack & Discord in one click. Works with Claude Code, Codex & any LLM. BYOK, Oauth, local-first, chat from your phone 24/7.

Neo.mjs is a self-evolving software organism: a professional end-to-end AI engineering team whose cross-model swarm inhabits live apps via Neural Link, Active Hybrid GraphRAG, DreamService, and self-healing loops.

[NeurIPS 2023] Reflexion: Language Agents with Verbal Reinforcement Learning