Node.js/TypeScript MCP server for Atlassian Bitbucket. Enables AI systems (LLMs) to interact with workspaces, repositories, and pull requests via tools (list, get, comment, search). Connects AI directly to version control workflows through the standard MC

A npm package designed specializing in Natural Language Processing, which develops AI systems that can understand and generate natural language.

AWS SDK for JavaScript Ssm Client for Node.js, Browser and React Native

AI Context Protocol CLI - Token-efficient code documentation for AI systems

The Onion Architecture: 8-layer diagnostic and scaffold for production AI systems

Append-only event-log runtime for multi-agent AI systems

Council Protocol - Multi-agent consensus, communication, and governance for AI systems

A Model Context Protocol (MCP) server for WaterCrawl, enabling AI systems to perform web crawling and search operations

Open-source control plane for running, supervising, and documenting multi-agent AI systems.

**The AI Runtime.** Build production AI systems, not prompt chains.

LangGraph

TypeScript SDK for KyroDB, the freshness-aware context runtime for AI systems.

Intelligent AI orchestration with multi-provider LM management, drift detection, auto-retraining, and performance tracking for production AI systems

Automagik CLI - A powerful command-line interface for interacting with Automagik Hive multi-agent AI systems

User model layer across AI systems.

A powerful TypeScript library for creating collaborative multi-agent AI systems with DAG-based orchestration. Build sophisticated workflows where AI agents work together through dependency graphs, conditional routing, and pluggable execution strategies. F

The **Cerebras provider** for the [AI SDK](https://ai-sdk.dev/docs) contains language model support for [Cerebras](https://cerebras.ai), offering high-speed AI model inference powered by Cerebras Wafer-Scale Engines and CS-3 systems.

The execution boundary for autonomous AI systems. bind() must reach Lyhna or throw — no silent fallbacks, no local signing, no fabricated receipts.

Build consistent Claude Code skills using standardized syntax and guided workflows. Part of the Agentic OS by Chris AI Systems.

Evidence layer for agentic AI systems: turn OTLP agent traces into signed, independently verifiable audit evidence (EU AI Act, ISO/IEC 42001, NIST AI RMF).