model2data turns data models into analytics-ready datasets. - JB-Analytica/model2data

Menu bar app to know when your Mac is thermal throttling - angristan/MacThrottle

Production-ready platform for agentic workflow development. - langgenius/dify

Easy Data Preparation with latest LLMs-based Operators and Pipelines. - OpenDCAI/DataFlow

A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require effective context management.

A comprehensive collection of Agent Skills for context engineering, multi-agent architectures, and production agent systems. Use when building, optimizing, or debugging agent systems that require effective context management. - Agent-Skills-for-Context-Engineering/skills/project-development at main · muratcankoylan/Agent-Skills-for-Context-Engineering

This skill covers the methodology for identifying tasks suited to LLM processing, designing effective project architectures, and iterating rapidly using agent-assisted development. The principles apply whether building batch processing pipelines, multi-agent research systems, or interactive applications.

Analyzing Hacker News discussions from a decade ago in hindsight with LLMs - karpathy/hn-time-capsule

A Hacker News time capsule project that pulls the HN frontpage from exactly 10 years ago, analyzes articles and discussions using an LLM to evaluate prescience with the benefit of hindsight, and generates an HTML report.

A Model Context Protocol (MCP) server that facilitates structured, progressive thinking through defined stages. This tool helps break down complex problems into sequential thoughts, track the progression of your thinking process, and generate summaries.

Earnings Call Civilizational Score Prompt. GitHub Gist: instantly share code, notes, and snippets.

You are a financial historian and industry expert conducting a review of past earnings calls with the benefit of hindsight and wisdom.

In-depth tutorials on LLMs, RAGs and real-world AI agent applications. - ai-engineering-hub/fastest-rag-milvus-groq at main · patchy631/ai-engineering-hub

This project builds the fastest stack to build a RAG application with retrieval latency < 15ms.

It leverages binary quantization for efficient retrieval coupled with Groq’s blazing fast inference speeds.

In which I talk about the process involved in switching forges, and how well that went.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

mlabonne.github.io/blog/

Molly is a hardened version of Signal for Android, the fast simple yet secure messaging app by Signal Foundation.

The “you only glance once” object detection model. Contribute to czbiohub-sf/yogo development by creating an account on GitHub.

A version of the YOLO architecture (versions 1 through 3), optimized for inference speed on simple object detection problems. Designed for the remoscope project by the bioengineering team at the Chan-Zuckerberg Biohub SF.

Use mkslides to easily turn markdown files into beautiful slides using the power of Reveal.js!

MkSlides is a static site generator that’s geared towards building slideshows. Slideshow source files are written in Markdown, and configured with a single YAML configuration file. The workflow and commands are heavily inspired by MkDocs and reveal-md.

Lightning-fast, on-device TTS — running natively via ONNX. - supertone-inc/supertonic

Supertonic is a lightning-fast, on-device text-to-speech system designed for extreme performance with minimal computational overhead. Powered by ONNX Runtime, it runs entirely on your device—no cloud, no API calls, no privacy concerns.

Verbalized Sampling, a training-free prompting strategy to mitigate mode collapse in LLMs by requesting responses with probabilities. Achieves 2-3x diversity improvement while maintaining quality. Model-agnostic framework with CLI/API for creative writing, synthetic data generation, and dialogue simulation. - CHATS-lab/verbalized-sampling

Open-Source Memory Engine for LLMs, AI Agents

What is Memori Memori enables any LLM to remember conversations, learn from interactions, and maintain context across sessions with a single line: memori.enable(). Memory is stored in standard SQL databases (SQLite, PostgreSQL, MySQL) that you fully own and control.

Why Memori?

One-line integration - Works with OpenAI, Anthropic, LiteLLM, LangChain, and any LLM framework SQL-native storage - Portable, queryable, and auditable memory in databases you control 80-90% cost savings - No expensive vector databases required Zero vendor lock-in - Export your memory as SQLite and move anywhere Intelligent memory - Automatic entity extraction, relationship mapping, and context prioritization

Penpot: The open-source design tool for design and code collaboration - penpot/penpot

Penpot is the first open-source design tool for design and code collaboration.

Designers can create stunning designs, interactive prototypes, design systems at scale, while developers enjoy ready-to-use code and make their workflow easy and fast. And all of this with no handoff drama.

Available on browser or self-hosted, Penpot works with open standards like SVG, CSS, HTML and JSON, and it’s free!

Fara-7B is Microsoft’s first agentic small language model (SLM) designed specifically for computer use.

With only 7 billion parameters, Fara-7B is an ultra-compact Computer Use Agent (CUA) that achieves state-of-the-art performance within its size class and is competitive with larger, more resource-intensive agentic systems.