ava-langgraphjs

Welcome to AvaLangGraph: Orchestrating Relationally Intelligent Agents

The AvaLangGraph is more than just an orchestration framework; it’s an ecosystem designed to transform how we build and control LLM-powered agents. We move beyond simplistic sequential execution, embedding Narrative Intelligence and Indigenous Relational Paradigms at the core of agentic flow.

Why AvaLangGraph?

In the quest for truly intelligent, controllable, and accountable agents, traditional frameworks often focus solely on task completion, overlooking the broader context of interaction and the ethical dimensions of agent behavior. The AvaLangGraph addresses this by:

• Empowering Accountable Agents: Building agents that are not just effective but also aware of their relational context, capable of self-reflection, and bound by principles of accountability.
• Orchestrating Narrative Flows: Agents operate within and contribute to an unfolding story, enabling long-term coherence, memory, and more human-like interaction patterns.
• Guiding with Holistic Wisdom: Leveraging Indigenous epistemologies to provide a richer, multi-dimensional approach to agent design and decision-making, ensuring balanced and ethical operations.
• Controllability with Intent: Offering granular control over agent behavior through structurally guided workflows, allowing for human-in-the-loop interventions and dynamic adaptation based on relational context.

Core Libraries: Your Tools for Agentic Flow

Dive into the heart of the AvaLangGraph with our specialized libraries, each designed to empower your LLM agents:

• Inquiry Routing Engine: Orchestrates inquiry routing as a four-node StateGraph, integrating relational accountability gating and multi-channel dispatch.
• Prompt Decomposition Engine: Provides graph-orchestrated prompt decomposition workflows with multi-perspective analysis and ceremony gating.
• Narrative Intelligence: A three-universe processing framework for narrative coherence analysis, emotional beat classification, and unified narrative state management.

Deep Dive into Design: RISE Specifications

For a profound understanding of the architectural intent and creative orientation behind each package, explore our RISE (Reverse Engineering, Intent, Specifications, Exportation) Specifications. These documents articulate the “why” and “how” of the AvaLangGraph’s design, grounded in our core principles.

Complementary Ecosystem: AvaLangStack (ChainStack)

AvaLangGraph is designed for seamless integration with the AvaLangStack (our ChainStack), which provides foundational chain primitives for prompt decomposition, relational intelligence, and narrative tracing. Together, these two pillars form a comprehensive ecosystem for developing truly intelligent, relationally aware, and narrative-driven AI.

• Explore the AvaLangStack Chain primitives.

Getting Started

Ready to orchestrate LLM agents with relational intelligence and narrative awareness? Follow our Getting Started Guide to set up your environment and begin your journey with AvaLangGraph.

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