Run local AI models like gpt-oss, Llama, Gemma, Qwen, and DeepSeek privately on your computer.

Note: This is a personal essay by Matt Ranger, Kagi’s head of ML In 1986, Harry Frankfurt wrote On Bullshit ( https://en.wikipedia.org/wiki/On_Bullshit ).

via: https://news.ycombinator.com/item?id=46357194

What can you build with one HTML file and an LLM? A lot more than you think. This post shows hard-won patterns from 150+ real tools, showing how to skip frameworks, exploit browser primitives, and build projects fast with copy/pasteable code.

A four-step engineering process for software teams that don’t write code

Open-source platform to build and deploy AI agent workflows. - simstudioai/sim

Design agent workflows visually on a canvas—connect agents, tools, and blocks, then run them instantly.

A tool to snap pixels to a perfect grid. Designed to fix messy and inconsistent pixel art generated by AI. - Hugo-Dz/spritefusion-pixel-snapper

Artificial intelligence is a fast-moving field. I created Ahead of AI to help you keep up with the latest developments and research trends in the fields of machine learning, deep learning, and artificial intelligence.

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

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.

AI-Powered Data Processing: Use LOTUS to process all of your datasets with LLMs and embeddings. Enjoy up to 1000x speedups with fast, accurate query processing, that’s as simple as writing Pandas code - lotus-data/lotus

LOTUS is an open-source query engine that makes programming as easy as writing Pandas and optimizes your programs for up to 400x speedups.

Fast, stateless LLM for your shell: qq answers; qa runs commands - iagooar/qqqa