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.

NornicDB is a high-performance graph database designed for AI agents and knowledge systems. It speaks Neo4j’s language (Bolt protocol Cypher) so you can switch with zero code changes, while adding intelligent features including GPU accelerated embedding search, k-means, and auto TLP with optional LLM inference, plus plugins. - orneryd/NornicDB

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

CLAUDE.md is a high-leverage configuration point for Claude Code.

Learning how to write a good CLAUDE.md (or AGENTS.md) is a key skill for agent-enabled software engineering.

An LLM will perform better on a task when its’ context window is full of focused, relevant context

a system that monitors ~200,000 news RSS feeds in near real-time and clusters related articles to show how stories spread across the web. It uses Snowflake’s Arctic model for embeddings and HNSW for fast similarity search. Each “story cluster” shows who published first, how fast it propagated, and how the narrative evolved as more outlets picked it up.

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

mlabonne.github.io/blog/

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.

Research assistant powered by Lotus.

DeepScholar, an openly-accessible DeepResearch system from Berkeley & Stanford.

DeepScholar efficiently processes 100s of articles, demonstrating strong long-form research synthesis capabilities, competitive with OpenAI’s DR, while running up to 2x faster!

OCR Arena is a free playground for testing and evaluating leading foundation VLMs and open source OCR models side-by-side. Upload a document, measure accuracy, and vote for the best models on a public leaderboard.

Run Qwen LLMs locally in your browser with WebGPU. Zero installation, instant AI chat.

An open-source, code-first Go toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control. - google/adk-go

Web Search MCP Server for use with Local LLMs A TypeScript MCP (Model Context Protocol) server that provides comprehensive web search capabilities using direct connections (no API keys required) with multiple tools for different use cases.

Features Multi-Engine Web Search: Prioritises Bing > Brave > DuckDuckGo for optimal reliability and performance Full Page Content Extraction: Fetches and extracts complete page content from search results Multiple Search Tools: Three specialised tools for different use cases Smart Request Strategy: Switches between playwright browesrs and fast axios requests to ensure results are returned Concurrent Processing: Extracts content from multiple pages simultaneously

“AI-Trader: Can AI Beat the Market?” Live Trading: https://hkuds.github.io/AI-Trader/ - HKUDS/AI-Trader

Five AIs battle for NASDAQ 100 supremacy. Zero human input. Pure competition.

New computer model helps reveal how the brain both adapts and misfires, laying the groundwork for more precise treatments for mental health disorders.

The exact same AI-coded page everyone else makes.

Hyperlink is a local-first AI agent that understands your files privately—PDFs, notes, transcripts, and more. No internet required. Data stays secure, offline, and under your control. A Glean alternative built for personal or regulated use.