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Overview

Alchemyst is the context cloud for LLMs and AI agents, a unified platform that helps developers build, integrate, and scale context-aware AI applications. Whether you are enhancing an existing workflow, building a new intelligent product, or exploring research prototypes, Alchemyst provides the memory, tooling, and integrations required to make AI systems more accurate, relevant, and maintainable. Key outcomes you can expect from Alchemyst:
  • Aggregate and enrich data from diverse sources, making it accessible to LLMs and agents in real time.
  • Maintain persistent, context-aware memory to enhance 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 extend.

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What is Alchemyst?

Alchemyst is a developer-first platform focused on AI context management and runtime orchestration. It offers:
  • Context management: Store, index, and retrieve context in ways that improve model outputs.
  • SDKs & APIs: Official SDKs for Python and TypeScript plus a rich REST API surface for other languages and environments.
  • Integration tooling: Built-in connectors and examples for popular tools and editors to accelerate development.
  • Sample projects & best practices: Real-world examples you can adapt to jumpstart your work

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Why Alchemyst?

  • Boost AI accuracy and relevance by giving your models the context they need.
  • Accelerate development with robust SDKs for Python and TypeScript.
  • Integrate seamlessly with popular tools like VS Code, GitHub Copilot, and more.
  • Leverage real-world examples and best practices from our community and team projects.

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How Alchemyst works

  • Ingest: Bring data from databases, files, user interactions, and external APIs.
  • Enrich & Index: Normalize and enrich data, then index it for fast retrieval by your agents or LLM prompts.
  • Serve context: Provide contextual snippets and memories to models at inference time.
  • Orchestrate: Chain tools and services to create deterministic workflows and agent behaviors.
  • Persist & Evolve: Store user- or application-level memory that can be updated and audited over time.

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Get Started

Everything you need to create world-class, context-driven AI applications:

Python SDK

Build with Python

TypeScript SDK

Build with TypeScript

AI Tools & MCP Setup

Integrate with AI tools and Model Context Protocol

API Reference

Explore the full API documentation

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Explore Further

Sample Projects

See real-world code and implementation patterns.

Cookbook

Explore full-fledged projects built on top of our platform.

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Need Help?

If you get stuck or want to share feedback:
  • Browse the Guides and API docs on this site.
  • Search the documentation for targeted answers.
  • Join our Discord server for real-time help.
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