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LLM apps

Open-source LLM apps and frameworks

Most-starred projects

5,473–5,496 of 5,866
haunchen

n8n-skills

★ 412

Designed specifically for AI assistants, the n8n Workflow Automation Skills Suite.

TypeScript
mezmo

aura

★ 412

AURA is a production-tested SRE agent platform you can deploy in minutes. AURA handles the guardrails, APIs, state management, streaming, and failure handling required to put AI to work safely on production infrastructure.

Rust
microsoft

iq-series

★ 412

The IQ Series is a hands-on learning experience for Microsoft IQ: Microsoft's unified intelligence layer for the enterprise, spanning Foundry IQ, Work IQ, and Fabric IQ. The series includes video episodes, Jupyter notebooks, and Azure deployment templates.

Jupyter Notebook
★ 412

A Claude skill: reverse-map a supply chain to find overlooked upstream bottleneck stocks. Distilled from trader Serenity (@aleabitoreddit)'s public methodology. Not financial advice.

Python
ohdearquant

lionagi

★ 412

An intelligence orchestra

Python
TheDesignFounder

DreamLayer-Eval

★ 412

DreamLayer Eval: open-source benchmarking for image and video diffusion models. Automate prompts, seeds, and metrics for reproducible results. A research project from DreamLayer AI (dreamlayer.io).

Python
wesammustafa

opencode-primer

★ 412

Master OpenCode, the open-source AI coding agent — setup, agents, skills, plugins, MCP, Zen & headless CI.

JavaScript
zurawiki

tiktoken-rs

★ 412

Ready-made tokenizer library for working with GPT and tiktoken

Rust
GizClaw

flowcraft

★ 411

Production-grade Go SDK for building AI agents with long-term memory, knowledge retrieval, and voice — runnable as a library, a daemon, or a real-time pipeline.

Go
★ 410

Veldra — talk an agent into existence, then watch it grow. A self-hostable, local-first agent platform: describe what you need in plain language and it compiles a working agent tools, MCP, RAG, teams. The more you use it, the better it gets agents learn from your feedback and reshape as you talk.

Python
★ 410

Claude powered advisor system for option traders

Python
weibocom

rill-flow

★ 410

Rill Flow is a high-performance, scalable workflow orchestration engine for distributed workloads and LLMs

Java
Meridiona

meridian

★ 409

Stop letting your work go unnoticed. Meridian keeps an automatic work journal of what you worked on and what you finished, summarised daily, and automatically drafts your project tickets for you.

Rust
sonichi

sutando

★ 409

My AI Stand. Realtime by day, rewriting itself by night. Summon my AI superpower.

Python
★ 408

clawdcursor compiles whatever's on screen into one UI map — accessibility tree and OCR fused into stable, addressable elements, with a screenshot only when needed — then drives apps through reusable scripts, verifying every action and routing it through a single safety gate.

TypeScript
canyonroad

agentsh

★ 408

Execution-Layer Security (ELS) for AI agents — policy-enforced shell with audit.

Go
★ 408

tmux plugin that runs Claude Code sessions in popups per project directory, with an fzf picker showing each session's status and a bell that highlights the window that needs you.

Shell
evilmartians

agent-prism

★ 408

React components for visualizing traces from AI agents

TypeScript
langchain-ai

langchain-google

★ 408

🦜🔗 LangChain interfaces to Google's suite of AI products (e.g. Gemini & Vertex AI)

Python
ai-dashboad

flutter-skill

★ 406

AI-powered E2E testing for 10 platforms. 253 MCP tools. Zero config. Works with Claude, Cursor, Windsurf, Copilot. Test Flutter, React Native, iOS, Android, Web, Electron, Tauri, KMP, .NET MAUI — all from natural language.

Dart
Extelligence-ai

bagel

★ 406

Query robotics, drone, and IoT data in plain English through an MCP server, with an intelligent edge data reduction pipeline that keeps only the data that matters.

Python
qianye60

XianTu

★ 406

"Immortal Path" AI-driven immersive cultivation text adventure game, based on Vue 3 + TypeScript + Fastapi, supports multiple AI models such as Gemini/Claude/OpenAI

Vue
★ 406

ATLAS: a senior-engineer layer for Claude Code. Explore with wireframes & prototypes, clarify the essentials, capture it in HTML spec doc then let Claude Code's native plan/goal/workflow loop build. Fewer tokens, less ceremony, faster to what people pictured. KISS/YAGNI/DRY, context decides. No overengineering. Clean architecture that works.

Python