Package for optimizing your GraphQL operations relay style.
A set of utils for faster development of GraphQL tools
Typescript bindings for langchain
Regular Expressions parser in JavaScript
A Vite plugin to optimize your image assets using Sharp.js and SVGO
Lean output compaction for terminal-heavy agent workflows.
Node adapter for RequireJS, for loading AMD modules. Includes RequireJS optimizer
OCI NodeJS client for Optimizer Service
Server-side rendering for AMPs.
This library will optimize the AsyncAPI specification file.
AWS SDK for JavaScript Compute Optimizer Client for Node.js, Browser and React Native
Utils for Electron main process.
A babel plugin that adds istanbul instrumentation to ES6 code
Pluggable integrations that can be used to enhance JS SDKs
Core package for monacopilot
Integration wrappers for utility libraries
Old abstractions from LangChain.js
Package for optimizing your GraphQL operations relay style.
Broccoli plugin for optimizing SVG files with SVGO
Zero-config drop-in client wrapper and proxy to optimize and compress prompts for OpenAI and Anthropic Claude.
styled() API wrapper package for emotion.
A WebdriverIO service to start & stop Appium Server
SkyKoi — Koi runtime. Multi-channel gateway CLI with RPC Koi.
A comprehensive Ruby implementation of a Knowledge-Based System featuring: • RETE Algorithm: Optimized forward-chaining inference engine with unlinking optimization for high-performance pattern matching • Declarative DSL: Readable, expressive syntax for rule definition with built-in condition helpers • Blackboard Architecture: Multi-agent coordination with message passing and knowledge source registration • Flexible Persistence: SQLite (durable), Redis (fast), and hybrid storage backends with audit trails • Concurrent Execution: Thread-safe auto-inference mode for real-time processing • AI Integration: Native support for LLM integration (Ollama, OpenAI) for hybrid symbolic/neural reasoning • Production Features: Session management, fact history, query API, statistics tracking Perfect for expert systems, trading algorithms, IoT monitoring, portfolio management, and AI-enhanced decision systems.
Chiridion generates documentation optimized for AI agents and LLMs working with Ruby codebases. It extracts documentation from YARD comments, merges RBS type signatures, and produces structured markdown suitable for context injection. Features: - YARD-based documentation extraction - RBS type signature integration (RBS is authoritative) - RSpec example extraction - Obsidian-compatible wikilinks for cross-references - Drift detection for CI/CD pipelines - toys/dx CLI task definitions