Pillars.js web development framework for Node.js
Korean Saju (Four Pillars) and Manseryeok calculation library
Four Pillars (四柱) calculator with flexible date adapter support
The Box primitive is one of the pillars of our system. It can be any HTML element and can receive many of our token values as props. We use Box to build most of our other components.
Governs AI-generated code so a human can verify it: a TypeScript/JavaScript static analyzer - 119 rules across 11 quality pillars, SARIF output, baselines, and a local dashboard.
Tool for creating a project to start with Pillars
Korean Saju (Four Pillars) MCP server — coming soon. See https://github.com/dangamsoft/cafe-mcp
BaZi (Four Pillars / 八字) — deterministic Chinese metaphysics MCP server. Rule-based engine, no LLM drift. Sub-200ms response. Pay-per-call via x402 USDC on Base. First 3 calls free per UA.
MCP server for AI-assisted hardened Docker image generation following the 15 GWShield hardening pillars
Accurate Four Pillars (八字) chart engine with True Solar Time correction, Da Yun cycles, and interaction detection. Extracted from the OpenFate.ai core engine.
Bazi (八字 / Chinese Four Pillars) calculation library — powered by Shunshi.AI, with true solar time correction built in. Zero framework deps, pure TypeScript.
ORUS Core Framework - Universal framework for 6 Pillars assessment, domain-agnostic
BaZi chart calculator — compute Four Pillars + Ten Gods — MCP shim forwarding to xuanxue-bazi-matching
Saju from Seoul — Korean Four Pillars (사주) MCP: birth charts, Five Elements, Day Master (일간) profiles, stem/branch reference, compatibility. Deterministic, no API keys. Full readings: sajufromseoul.com
一个功能完整的八字命理分析库，支持四柱排盘、五行分析、十神配置、神煞、大运流年等全面分析功能 | A comprehensive Bazi (Chinese astrology) analysis library with full support for four pillars, Wu Xing analysis, Shi Shen, Shen Sha (50+ stars), and Da Yun/Liu Nian predictions
Achira Workflow OS — AI-driven development ecosystem with 21 agents, 7 master pillars, and 22 project scaffolds.
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MCP server for Korean Saju (Four Pillars of Destiny) child temperament analysis
application supporting pillars
CLI coding agent for complex agentic workflows and long-horizon development. Local models (llama.cpp / Ollama), BYOK across 17 providers, parallel agents, persistent memory, scanned skills.
MCP server for Spore Agent Arena — 952 AI games across 36 pillars. Compete, earn COG tokens, climb the leaderboard.
Lookup lunar dates express as Four Pillars, from 1900-01-01 through 2100-01-01.
Shared canonical schema (TypeScript + Go via codegen) for Postwave migration, voice, and automation pillars. Single source of truth for cross-service contracts.
MCP (Model Context Protocol) server for Saroday - Korean Saju calculation tool. Lets Claude Desktop, Cline, Cursor and other MCP-compatible AI clients perform accurate Korean Saju (Four Pillars) calculation, lookup 80+ myeongni-hak (命理學) glossary terms, a
A framework for constructing parallel services governed by an executor
A file-based task tracker for managing projects, milestones, and issues
Session-based AI development assistant with conversational codebase interaction, multimodal vision support, built-in MCP tools, and multi-provider AI integration
pillar is a small tool to format lines into columns
Chinese astrology — BaZi Four Pillars, solar terms, Heavenly Stems, Earthly Branches
Columnar file format for multi-experiment genomic signal data
2D & 3D procedural generation with WFC/Model synthesis
Rust static analyzer and quality linter for CI: dead-code, complexity, security, secrets, and architecture rules with deterministic SARIF/JSON output and baseline support.
MCP server exposing all Relay pillars as tools over stdio or Unix socket
AMQP protocol support for MockForge
Traffic analytics and metrics dashboard for MockForge
Chaos engineering features for MockForge - fault injection and resilience testing
A class which tells fortune by Four Pillar astrology(四柱推命).
Component based rails applications mad easy.
Hiera like tool for use as an external pillar with SaltStack
ActiveGenie is an enabler for creating reliable GenAI features, offering powerful, model-agnostic tools across any provider. It allows you to settle subjective comparisons with a `ActibeGenie::Comparator` module that stages a political debate, get accurate scores from an AI jury using `ActiveGenie::Scorer`, and rank large datasets using `ActiveGenie::Ranker`'s tournament-style system. This reliability is built on three core pillars: - Custom Benchmarking: Testing for consistency with every new version and model update. - Reasoning Prompting: Utilizing human reasoning techniques (like debate and jury review) to control a model's reasoning. - Overfitting Prompts: Highly specialized, and potentially model-specific, prompt for each module's purpose.
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