Skip to main content

​
Overview

Alchemyst is the context layer for LLMs and AI agents.
It helps you store, retrieve, and apply context so AI systems stay accurate, relevant, and consistent over time. If you’ve ever struggled with:
  • Stateless LLM responses
  • Prompt stuffing
  • Fragile RAG pipelines
  • Agents that forget users or past actions
Alchemyst is built to solve exactly that.

​
What problem does Alchemyst solve?

Large language models don’t remember anything by default. Every request starts from scratch unless you:
  • Manually inject context
  • Rebuild memory systems
  • Orchestrate retrieval logic yourself
This quickly becomes brittle, expensive, and hard to scale. Alchemyst makes context a first-class system capability.

​
What is Alchemyst?

Alchemyst is a developer-first platform for AI context management. It gives you a reliable way to:
  • Store application, user, and workflow context as raw facts
  • Retrieve the most relevant information based on query
  • Feed that context into LLMs and agents
All without writing custom memory or retrieval infrastructure.

​
What you can do with Alchemyst

  • Persist memory across sessions
    Give agents long-term memory without prompt hacks.
  • Retrieve relevant context on demand
    Search and fetch only what matters for a given request.
  • Build reliable AI agents
    Create agents that behave consistently and deterministically.
  • Scale from prototype to production
    Use the same system for experiments, products, and enterprise workloads.

​
Why use Alchemyst instead of rolling your own?

  • Cleaner architecture – No custom vector plumbing or brittle glue code
  • Better AI outputs – Models respond using relevant, grounded context
  • Faster development – Official SDKs for Python and TypeScript
  • Production-ready – Built for real workloads, not demos

​
How Alchemyst works

Alchemyst sits between your data and your LLM.

​
The flow is simple

Ingest context
Store data from users, files, APIs, or application events. Index and organize
Context is structured for fast, relevant retrieval. Search when needed
Retrieve only the most useful context for a request. Use with LLMs or agents
Pass retrieved context into prompts or agent logic. Persist and evolve
Update memory as users and workflows change.

​
Who is this for?

Alchemyst is built for:
  • Developers building AI agents
  • Teams shipping LLM-powered products
  • Engineers tired of fragile context pipelines
If you’re building with LLMs in production, you’re in the right place.

​
Why Alchemyst?

Most AI systems break as context grows. We don’t. Alchemyst operates at the Pareto frontier — higher reliability without sacrificing capability.
  • Memory isn’t text - We store information as structured facts, modeled as connected nodes at ingestion.
  • LLMs aren’t the core - They reason over resolved context, but never own state or truth.
  • Context is deterministic - No bloated prompts, no token juggling, no surprise amnesia.
  • Built for production - Stable, inspectable context that holds up beyond demos.

​
Next steps

Start with the fastest path to value: When you’re ready, head to the Quick Start and build your first context-aware application.