LLM 模型排行

針對台灣求職市場的開源多代理 AI 求職 co-pilot：自動找職缺、履歷健檢、一鍵產生客製投遞包（履歷・求職信・面試準備・公司情報）與模擬面試。本機 Claude Code／Codex CLI 免 API key，也可自備金鑰接 OpenAI 相容模型。

303 份 AI/LLM 中文讲义，支持在线阅读、PDF 下载和 LaTeX 源码查看 | Stanford CS336/CS224R/CS25 | Berkeley LLM Agents | Agent 工程实践

"Generative AI in Action" book's code repository

🤖 Building AI Agent Systems from Scratch — A comprehensive, practical tutorial from fundamentals to production-grade multi-agent applications

Claude Code, Codex, and multi-agent configuration system: principles, hooks, skills, and workflow patterns for AI-assisted development

A companion guide for the blog post series, LangChain Decoded.

Your second brain for the web browsing. An AI powered Chrome extension that constructs personal knowledge base for you.

An LLM interface (chat bot) implemented in pure Rust using HuggingFace/Candle over Axum Websockets, an SQLite Database, and a Leptos (Wasm) frontend packaged with Tauri!

TAgent 是一个基于 Java 17、Spring Boot、Spring AI 和 DDD 分层构建的 AI Agent 工程实践项目。 它不是只封装一次模型调用，而是覆盖了一次 Agent 请求从接入、路由、运行时装配、规划执行、RAG、记忆、MCP 工具治理、人工审批、执行中干预，到 SSE 流式输出和全链路观测的完整过程。

Documents repo of ForkSilly. ForkSilly：兼容sillytavern（酒馆）角色卡、世界书、正则、预设、聊天记录的安卓移动端应用；同时也可作为stable diffusion客户端使用。

Universal Python SDK to run AI workloads on Kubernetes

An md file as a chat interface and editable history in one.

Terminal-first, knowledge-grounded multi-agent software delivery pipeline: scope requirements, implement changes, run tests, and gate pull requests with deterministic QA and ensemble code review.

Official code of the ACL 2025 paper "SimGRAG: Leveraging Similar Subgraphs for Knowledge Graphs Driven Retrieval-Augmented Generation"

🦜🪺 Parakeet is a GoLang library, made to simplify the development of small generative AI applications with Ollama 🦙.

A small utility to use Ollama models in LM Studio (and vice versa via symlinking) without duplicating disk space

A versatile multi-modal chat application that enables users to develop custom agents, create images, leverage visual recognition, and engage in voice interactions. It integrates seamlessly with local LLMs and commercial models like OpenAI, Gemini, Perplexity, and Claude, and allows to converse with uploaded documents and websites.

Ready-to-use system prompts for Agentic Code Review.

Agentic RAG, Multi-Agent Systems, and Vision Reasoning are three pipelines to find the perfect LLM

[ICLR 2025] Dissecting adversarial robustness of multimodal language model agents