LLM 模型排行

Self-hosted huggingface mirror service. 自建huggingface镜像服务。

A web UI Project In order to learn the large language model. This project includes features such as chat, quantization, fine-tuning, prompt engineering templates, and multimodality.

FineTune LLMs in few lines of code (Text2Text, Text2Speech, Speech2Text)

QA based on local knowledge and LLM.

Official repo for "LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs".

Hallucinations (Confabulations) Document-Based Benchmark for RAG. Includes human-verified questions and answers.

A pure-Go, single-file AI memory and knowledge graph library and plugin.

Compact operational charter that turns LLM coding agents into disciplined principal engineers. Eleven rules + one meta-rule.

Semantic layer on top of a graph database to provide an LLM with a set of robust tools to interact with the database

Understand and code every important component of RAG architecture

Honey (I Shrunk the AI) by GreenPT: a cross-tool coding skill that cuts AI coding-agent token usage and LLM API costs — write less code, less prose, and denser agent-to-agent handoffs (−53%, lossless in benchmarks) with no loss of quality. Works with Claude Code, Cursor, GitHub Copilot, Codex, Gemini CLI, Windsurf, Cline & Kiro.

XRAG: eXamining the Core - Benchmarking Foundational Component Modules in Advanced Retrieval-Augmented Generation

Curiso is an infinite canvas for your thoughts

Orchestration engine for long-running, tool-using AI agents

🤖 AI assistant command and control dashboard — Spawn more Overlords!

Persistent local memory layer for AI. ArcRift uses a extension and a native MCP server to sync context and decisions from your browser chats (Claude, ChatGPT, DeepSeek) straight to your local IDE agents (Cursor, Claude Code, Windsurf) powered by a local SQLite knowledge graph.

Parse partial JSON generated by LLM

Maintainer-governed agent for evidence-backed open-source contribution proposals

Safely run untrusted Python code using Pyodide and Deno

Pharos — local-first agentic RAG for your team's document library: multi-format ingest, hybrid retrieval, enterprise ACL, dual HTTP + MCP exits.