LLM 模型排行

RAG LLM Ops App for easy deployment and testing

Persistent project knowledge graph for coding agents. MCP server with semantic search, in-process embeddings, and web explorer.

LangStream. Event-Driven Developer Platform for Building and Running LLM AI Apps. Powered by Kubernetes and Kafka.

EdgeChains.js is Full-Stack GenAI library. Front-end, backend, apis, prompt management, distributed computing. All core prompts & chains are managed declaratively in jsonnet (and not hidden in classes)

An AI-powered GitHub code review tool that uses LLMs to detect high-confidence, high-impact issues—such as security vulnerabilities, bugs, and maintainability concerns.

AI agent tooling for data engineering workflows.

An example agent demonstrating streaming, tool use, and interactivity from your terminal. This agent builder can help you to build your own agents and tools.

Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 and semantic retrieval. Progressive Disclosure. No vector DB.

A web-based tool for visualizing and exploring artifacts from Microsoft's GraphRAG.

Cross-platform on-device AI toolkit

Portable semantic memory for AI agents: core engine, TypeScript SDK, framework adapters, MCP server, CLI, and host plugins.

Redis Vector Library (RedisVL) -- the AI-native Python client for Redis.

A website where you can compare every AI Model ✨

基于大语言模型(LLM)和多智能体(Multi-Agent)，探究AI写小说能力的边界

AG2 Visualized - Build Multi-Agentic Apps with Drag-and-Drop.

Python package for LLM compression

A Model Context Protocol (MCP) server that provides tools for fetching and analyzing Reddit content.

A curated archive of breakthroughs in Agents, Architecture, Training, RAG, and On-Device AI.

Building blocks for frontier OpenAI agents in Rust. Nanocodex empowers you with Codex-level performance anywhere.

CLI proxy that reduces LLM token usage by 60-90%. Declarative YAML filters for Claude Code, Cursor, Copilot, Gemini. rtk alternative in Go.