GitHub Trending 日报

📅 日期：2026/03/14

🎯 系列说明：每日精选GitHub热门开源项目，带你发现最新技术趋势和优质项目。每日推送，持续更新中…

📊 今日热门项目速览

1. BitNet

Official inference framework for 1-bit LLMs

🐍 Python | ⭐ +2227 今日 | 🏆 33,963 总计

仓库地址：microsoft/BitNet

2. openrag

OpenRAG is a comprehensive, single package Retrieval-Augmented Generation platform built on Langflow, Docling, and Opensearch.

🐍 Python | ⭐ +905 今日 | 🏆 2,256 总计

仓库地址：langflow-ai/openrag

3. browser

Lightpanda: the headless browser designed for AI and automation

📦 Zig | ⭐ +2093 今日 | 🏆 15,451 总计

仓库地址：lightpanda-io/browser

4. superpowers

An agentic skills framework & software development methodology that works.

🐚 Shell | ⭐ +2106 今日 | 🏆 81,917 总计

仓库地址：obra/superpowers

5. public-apis

A collective list of free APIs

🐍 Python | ⭐ +892 今日 | 🏆 409,473 总计

仓库地址：public-apis/public-apis

6. promptfoo

Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with command line and CI/CD integration.

🔷 TypeScript | ⭐ +1668 今日 | 🏆 15,275 总计

仓库地址：promptfoo/promptfoo

7. agency-agents

A complete AI agency at your fingertips - From frontend wizards to Reddit community ninjas, from whimsy injectors to reality checkers. Each agent is a specialized expert with personality, processes, and proven deliverables.

🐚 Shell | ⭐ +5745 今日 | 🏆 40,104 总计

仓库地址：msitarzewski/agency-agents

8. dolt

Dolt – Git for Data

🐹 Go | ⭐ +60 今日 | 🏆 21,076 总计

仓库地址：dolthub/dolt

9. A2UI

🔷 TypeScript | ⭐ +635 今日 | 🏆 13,052 总计

仓库地址：google/A2UI

10. fish-speech

SOTA Open Source TTS

🐍 Python | ⭐ +559 今日 | 🏆 26,866 总计

仓库地址：fishaudio/fish-speech

11. page-agent

JavaScript in-page GUI agent. Control web interfaces with natural language.

🔷 TypeScript | ⭐ +1468 今日 | 🏆 7,532 总计

仓库地址：alibaba/page-agent

12. claude-plugins-official

Official, Anthropic-managed directory of high quality Claude Code Plugins.

🐍 Python | ⭐ +654 今日 | 🏆 10,790 总计

仓库地址：anthropics/claude-plugins-official

13. AstrBot

Agentic IM Chatbot infrastructure that integrates lots of IM platforms, LLMs, plugins and AI feature, and can be your openclaw alternative. ✨

🐍 Python | ⭐ +1128 今日 | 🏆 23,817 总计

仓库地址：AstrBotDevs/AstrBot

14. hindsight

Hindsight: Agent Memory That Learns

🐍 Python | ⭐ +595 今日 | 🏆 3,637 总计

仓库地址：vectorize-io/hindsight

15. InsForge

Give agents everything they need to ship fullstack apps. The backend built for agentic development.

🔷 TypeScript | ⭐ +766 今日 | 🏆 3,636 总计

仓库地址：InsForge/InsForge

🔍 今日精选项目详解

BitNet

项目地址：https://github.com/microsoft/BitNet

作者：microsoft

📖 项目简介

Official inference framework for 1-bit LLMs

📊 项目数据

指标数值
⭐ Stars33,963
🍴 Forks2,866
👀 Watchers33,963
📝 LanguagePython
📅 Created2024-08-05
🔄 Updated2026-03-14
📜 LicenseMIT

💡 核心特点

📄 README 摘要

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# bitnet.cpp
[![License: MIT](https://img.shields.io/badge/license-MIT-blue.svg)](https://opensource.org/licenses/MIT)
![version](https://img.shields.io/badge/version-1.0-blue)

[<img src="./assets/header_model_release.png" alt="BitNet Model on Hugging Face" width="800"/>](https://huggingface.co/microsoft/BitNet-b1.58-2B-4T)

Try it out via this [demo](https://demo-bitnet-h0h8hcfqeqhrf5gf.canadacentral-01.azurewebsites.net/), or build and run it on your own [CPU](https://github.com/microsoft/BitNet?tab=readme-ov-file#build-from-source) or [GPU](https://github.com/microsoft/BitNet/blob/main/gpu/README.md).

bitnet.cpp is the official inference framework for 1-bit LLMs (e.g., BitNet b1.58). It offers a suite of optimized kernels, that support **fast** and **lossless** inference of 1.58-bit models on CPU and GPU (NPU support will coming next).

The first release of bitnet.cpp is to support inference on CPUs. bitnet.cpp achieves speedups of **1.37x** to **5.07x** on ARM CPUs, with larger models experiencing greater performance gains. Additionally, it reduces energy consumption by **55.4%** to **70.0%**, further boosting overall efficiency. On x86 CPUs, speedups range from **2.37x** to **6.17x** with energy reductions between **71.9%** to **82.2%**. Furthermore, bitnet.cpp can run a 100B BitNet b1.58 model on a single CPU, achieving speeds comparable to human reading (5-7 tokens per second), significantly enhancing the potential for running LLMs on local devices. Please refer to the [technical report](https://arxiv.org/abs/2410.16144) for more details.

**Latest optimization** introduces parallel kernel implementations with configurable tiling and embedding quantization support, achieving **1.15x to 2.1x** additional speedup over the original implementation across different hardware platforms and workloads. For detailed technical information, see the [optimization guide](src/README.md).

<img src="./assets/performance.png" alt="performance_comparison" width="800"/>


## Demo

A demo of bitnet.cpp running a BitNet b1.58 3B model on Apple M2:

https://github.com/user-attachments/assets/7f46b736-edec-4828-b809-4be780a3e5b1

## What's New:
- 01/15/2026 [BitNet CPU Inference Optimization](https://github.com/microsoft/BitNet/blob/main/src/README.md) ![NEW](https://img.shields.io/badge/NEW-red)
- 05/20/2025 [BitNet Official GPU inference kernel](https://github.com/microsoft/BitNet/blob/main/gpu/README.md)
- 04/14/2025 [BitNet Official 2B Parameter Model on Hugging Face](https://huggingface.co/microsoft/BitNet-b1.58-2B-4T)
- 02/18/2025 [Bitnet.cpp: Efficient Edge Inference for Ternary LLMs](https://arxiv.org/abs/2502.11880)
- 11/08/2024 [BitNet a4.8: 4-bit Activations for 1-bit LLMs](https://arxiv.org/abs/2411.04965)
- 10/21/2024 [1-bit AI Infra: Part 1.1, Fast and Lossless BitNet b1.58 Inference on CPUs](https://arxiv.org/abs/2410.16144)
- 10/17/2024 bitnet.cpp 1.0 released.
- 03/21/2024 [The-Era-of-1-bit-LLMs__Training_Tips_Code_FAQ](https://github.com/micr

... (内容过长，已截断，请访问GitHub查看完整内容)

🚀 快速开始

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# 克隆项目
git clone https://github.com/microsoft/BitNet.git

# 进入目录
cd BitNet

# 查看文档
cat README.md

💭 推荐理由

这个项目在今日GitHub Trending榜单中排名第一，值得关注的原因：

  1. 活跃度高：近期获得大量关注，社区活跃
  2. 实用性强：解决实际问题，有实用价值
  3. 代码质量：代码结构清晰，文档完善
  4. 创新性：在技术或应用上有创新突破

📝 系列说明

GitHub Trending 日报是一个持续更新的系列，每日为你带来：

  • 🔥 热门项目速览：快速了解当日最火的开源项目
  • 🔍 精选项目详解：深入分析排名第一的项目
  • 💡 技术趋势洞察：把握开源社区最新动态

往期日报

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🤝 参与贡献

如果你发现有趣的开源项目，欢迎推荐！

📡 数据更新：2026-03-14 09:05:47
🔗 数据来源：GitHub Trending