AI channel
LLM apps

Open-source LLM apps and frameworks

This is the broadest group: chat interfaces, SDKs and frameworks, prompt and evaluation tools, and applications built on large language models. Many work with models from several providers, and some can run models on your own hardware.

How to choose

For anything you plan to ship, check three facts first: the licence, because some popular projects restrict commercial use; whether it supports the model provider you already use; and whether it is still maintained. The At a glance box on every project page answers the licence and maintenance questions from GitHub data.

Most-starred projects

2,017–2,040 of 3,650
963

Alpaca’s official MCP Server lets you trade stocks, ETFs, crypto, and options, run data analysis, and build strategies in plain English directly from your favorite LLM tools and IDEs

Python
e10nMa2k

cc-mini

963

Ultra-light Harness scaffolding for AI agents, a mini version of claude code

Python
helicalinsight

helicalinsight

963

Free, open source BI platform with AI conversational analytics (BYO-LLM), pixel-perfect paginated reports, interactive dashboards, SSO, embedding, multi-tenancy & row-level security. Every feature free in Community Edition. Self-hosted, Docker-ready

JavaScript
data-prep-kit

data-prep-kit

962

Open source project for data preparation for GenAI applications

HTML
runesleo

x-reader

962

Universal content reader MCP Server for 10+ platforms

Python
stackql

stackql

962

Query, provision and operate Cloud, SaaS, API and Model Context Protocol (MCP) resources through a unified SQL-based framework for humans and AI agents.

Go
kardolus

chatgpt-cli

961

ChatGPT CLI is a powerful, multi-provider command-line interface for working with modern LLMs. It supports OpenAI, Azure, Perplexity, LLaMA, and more, with features like streaming, interactive chat, prompt files, image/audio I/O, MCP tool calls, and an experimental agent mode for safe, multi-step automation.

Go
alesaccoia

VoiceStreamAI

960

Near-Realtime audio transcription using self-hosted Whisper and WebSocket in Python/JS

Python
cdxiaodong

cain-agent

960

Real-world AI penetration testing engineer for authorized assessments — built-in cloud module covering AWS/Azure/GCP + Aliyun/Tencent/Huawei clouds. Built on Claude Agent SDK

Python
noahgsolomon

brainrot.js

960

Text to video generator in the brainrot form. Learn about any topic from your favorite personalities 😼.

Python
beltromatti

get-it

959

Read it. See it. Get it. Built at GDG AI Hack Milan 2026 for "Learn Different" track.

JavaScript
959

The first open-source agentic AI physicist, by Physical Superintelligence PBC (PSI).

Python
harlan-zw

mdream

958

☁️ The fastest HTML to markdown convertor on GitHub. Optimized for LLMs and supports streaming.

TypeScript
s-kostyaev

ellama

958

Work with local and cloud LLMs from Emacs.

Emacs Lisp
NVIDIA-NeMo

Automodel

957

🚀 Pytorch Distributed native training library for LLMs/VLMs with OOTB Hugging Face support

Python
Raudaschl

rag-fusion

957

RAG-Fusion: multi-query generation + Reciprocal Rank Fusion for better retrieval-augmented generation. Includes evaluation harness with NFCorpus/BEIR.

Python
BinWang28

audio-ai-hub

956

The hub for audio AI research: papers, open models, benchmarks & datasets across audio LLMs, speech recognition, TTS, music & audio generation.

Python
jlrouzies-fr

DLSS5-Feeder

955

DLSS 5 neural rendering in D3D11/D12/Vulkan games that ship without any DLSS — feeds a synthetic DLAA contract (ReShade depth + motion vectors) to the DLSS 5 add-on via a private D3D12 device.

C++
jaredrhod

barehands

954

Move things on your screen with your bare hands. A webcam-powered, hand-tracked interface for your AI. No headset. No controllers.

HTML
yyjeqhc

webcodex

954

Give cloud AI agents a real development environment on your own machines.

Rust
953

MAC (Multi-Agent CAD): A decoupled multi-agent framework for text-to-CAD generation via constrained test-time compute

Python
952

A multi-platform desktop application to evaluate and compare LLM models, written in Rust and React.

TypeScript