Persistent, deterministic memory for AI coding agents that build Shopify themes and apps. Liquid, JSON schema, section settings, and Dawn conventions — indexed once, recalled in sub-millisecond, at $0 per query.
You're building a Shopify agent — or using Claude Code / Cursor to write Liquid — and every session starts the same way: the agent re-reads sections/header.liquid, re-discovers the section's {% schema %} JSON, and re-guesses whether settings.color_scheme exists on the page object. Tokens burn; the agent still proposes snippets that violate Dawn conventions.
Liquid is not a well-served language in the tooling world. No Language Server Protocol. No canonical SCIP indexer. Tree-sitter support is patchy and version-pinned. So every agent that touches Shopify does regex + hope — and it shows.
If you're building Shopify-focused agents at scale, this is the silent tax on every output.
ArgosBrain ships a vendored Liquid tree-sitter grammar with Dawn-aware indexing: sections, snippets, blocks, schema settings, and translation keys all land in the symbol graph as distinct node types. We wrote our own bindings so we aren't blocked by upstream grammar version pins.
{% render %} / {% include %}.{% schema %} JSON parsed and linked to the enclosing section — so resolve_member("header_section.settings.logo_width") returns a real answer in microseconds.naming_convention tool) so new sections the agent creates match the rest of the theme.sections/cart.liquid, only that section's chunks re-index. No full re-ingest.All of this is local. No theme content leaves your machine. No LLM call on the read path.
We ran the full LongMemCode methodology against Shopify's Dawn reference theme — 500 deterministic scenarios across completion, bug-fix, refactor, test-gen, feature-add, api-discovery, control-flow, and config tasks. Compared a regex / grep baseline against ArgosBrain's MCP adapter.
Methodology, scoring, and corpus generator are all open source. You can replicate the number on your own laptop in under an hour.
curl -fsSL https://argosbrain.com/install.sh | sh cd my-shopify-theme argosbrain ingest . # done — Claude Code, Cursor, Aider, any MCP agent now has memory
Ingestion walks sections/, snippets/, templates/, layout/, config/, and locales/. Parses Liquid + embedded JSON. Builds the symbol graph. Takes under a minute on a full Dawn fork.
After that, any MCP-compatible agent pointed at the argosbrain server gets seven new tools — recall, search, resolve_member, symbol_exists, list_symbols, naming_convention, introspect — and the memory persists across sessions, branches, and restarts.
If you're building a vertical agent for merchants — Shopify store generators, theme customizers, app scaffolders, onboarding bots that modify Liquid — ArgosBrain is the memory layer you'd otherwise have to build yourself. Badly. In six months. With a token bill to match.
If you're a solo Shopify developer using Claude Code or Cursor, it's the same engine, same install, same $0 per query. The solo tier is free forever.
Either way — tell us what you're building. We're actively prioritizing the Shopify surface area (Liquid translation-key resolution, theme-editor block graph, app extension manifests) and design-partner feedback moves it up the queue.
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