Alchemyst AI LangChain 0.3.x Integration

Overview

This package provides seamless integration between Alchemyst AI and LangChain JS 0.3.x, enabling developers to leverage Alchemyst's unified context cloud within LangChain-powered applications.

Alchemyst AI is the context cloud for LLMs and AI Agents, purpose-built to serve as the connective tissue of your entire AI stack. It offers a unified memory layer that bridges data ingestion, context management, orchestration, inference, and deployment. By acting as a central hub for context and knowledge, Alchemyst enables your AI systems to access, share, and persist information across tools, sessions, and workflows.

With this integration, you can:

• Aggregate and enrich data from diverse sources, making it accessible to LLMs and agents in real time.
• Maintain persistent, context-aware memory that enhances reasoning, retrieval, and generation.
• Orchestrate complex workflows by connecting specialized frameworks, libraries, and platforms.
• Deploy modular, scalable AI solutions that are easy to maintain and evolve.

Features

• Plug-and-play context management: Effortlessly connect LangChain memory, retrievers, and tools to Alchemyst's context cloud.
• Unified knowledge layer: Share context and memory across multiple agents, sessions, and workflows.
• Real-time data ingestion: Stream and synchronize data from external sources into your LangChain pipelines.
• Production-ready orchestration: Build robust, scalable AI applications with persistent context and state.

Installation

bun install

Usage

To run the integration example:

bun run index.ts

Example

import { AlchemystMemory } from "@alchemyst-ai/langchain";
import { ConversationChain } from "langchain/chains";

// Initialize Alchemyst memory
const memory = new AlchemystMemory({ apiKey: "YOUR_ALCHEMYST_API_KEY" });

// Use with LangChain ConversationChain
const chain = new ConversationChain({ memory });

const response = await chain.call({ input: "Hello, who won the world cup in 2022?" });
console.log(response);

Why Use Alchemyst with LangChain?

• Persistent, cross-session memory: Retain knowledge across conversations and agents.
• Unified context for orchestration: Coordinate complex workflows with shared state.
• Future-proof integrations: Easily connect new tools and frameworks as your stack evolves.

Documentation

• Alchemyst AI Documentation
• LangChain JS Documentation

License

MIT

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This integration was created using bun init with bun v1.2.21. Bun is a fast all-in-one JavaScript runtime.