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

2,785–2,808 of 4,121
636

Hands-on, framework-free Colab notebooks for the AI Engineer / Forward Deployed Engineer (FDE) skill set — model APIs, structured output, tool calling, RAG, evals-as-the-spine, agents (loop from scratch, tool design, guardrails, MCP, Skills), fine-tuning vs LoRA, prompt-injection/security, LLMOps, and customer craft. Runs on the free Groq API.

Jupyter Notebook
636

An MCP Server for Android running on the phone, optmized for token usage, supports also files downloads and cloudflare and ngrok automated tunnelling.

Kotlin
genomoncology

biomcp

635

BioMCP: Biomedical Model Context Protocol

Rust
Ryan-yang125

ChatLLM-Web

635

Private local model studio, AI chat, and agent workspace powered by WebGPU and WebLLM.

TypeScript
ServiceNow

AgentLab

635

AgentLab: An open-source framework for developing, testing, and benchmarking web agents on diverse tasks, designed for scalability and reproducibility.

Python
SpecterOps

skills

635

A marketplace for LLM skills

Python
firecrawl

cli

634

CLI and Agent Skill for Firecrawl - Add scrape, search, and browsing capabilities to your AI agents

TypeScript
java-up-up

nexus-agent

633

企业级 AI 智能体 Agent 平台,覆盖智能对话、文档知识问答、联网搜索、RAG 检索、MCP 工具协议、Skills 扩展等完整能力。三层执行器体系、双通道混合检索、组合式切块引擎、会话记忆管理、全链路可观测,每个环节都经过深 度设计和工程化打磨。

Java
spring-ai-community

spring-ai-agent-utils

633

A Spring AI library that brings Claude Code-inspired tools and agent skills to your AI applications.

Java
633

MCP server wrapper for OpenAI Codex CLI that enables Claude Code to leverage Codex's AI capabilities directly.

TypeScript
632

Karpathy's LLM Wiki implementation plugin for Obsidian - turns notes and PDFs into a linked, LLM-powered knowledge base with entity pages, concept pages, graph-powered Q&A, and local-first privacy.

TypeScript
Ingenimax

agent-sdk-go

632

A powerful Go framework for building production-ready AI agents!

Go
632

A minimal, fast, graphical UEFI boot manager written in C. no external dependencies — just a config file :)

C
kiwifs

kiwifs

632

Markdown filesystem for agents and teams.

Go
632

把大qmt的接口转接, 兼容原有miniqmt的接口以实现替换

Python

咨询AI Agent Skill - 为任何企业自动生成 AI 应用场景地图报告 | Auto-generate AI scenario map reports for any enterprise

Python
Agent-Field

pr-af

631

#1 open-source code reviewer on Code-Review-Bench

Go
631

Distill investment wisdom from Buffett, Dalio, Soros, Marks & more — 15 masters' methodologies + 13F tracking, built for AI agents.

scanaislop

aislop

631

Catch and fix the code-quality issues AI coding agents leave behind - dead code, unsafe casts, swallowed errors, duplication, security risks, and more. 50+ deterministic rules across 10 language targets, with CLI, CI, and GitHub Actions. No LLM at runtime. MIT.

TypeScript

一个基于 Andrej Karpathy 的 LLM Wiki 模式 实现的 Obsidian 知识库,利用 LLM 维护可复利的个人知识层。

630

End-to-end AI-powered academic paper writing system — from idea generation and literature search to experiment execution, result backfill, and LaTeX paper compilation. Supports multi-LLM routing, SSH remote training, incremental sync, and anti-AI-detection writing style.

Python
waynesutton

markdown-site

630

An open-source publishing framework built for AI agents and developers to ship websites, docs, or blogs. Write markdown, sync from the terminal. Your content is instantly available to browsers, LLMs, and AI agents. Built on Convex and Netlify.

TypeScript
iagooar

qqqa

629

Fast, stateless LLM for your shell: qq answers; qa runs commands

Rust
Tura-AI

tura

629

Across 348 long-horizon benchmark sessions, Tura used up to 83.1% fewer turns on the rewrite benchmark and improved the DeepSWE pass rate by up to 16.7 percentage points compared with Codex CLI.

Rust