Patterns

ProcessState -> PersistedState

Persist each orchestration phase and step of a multi-agent run to a local SQLite database to resume state after reboots or failures.

Tuple<GraphJSON, GraphJSON> -> GraphDelta

Compare two node-graph files to compute a structural delta showing added, removed, and parameter-modified nodes.

GraphLayoutJSON -> ExecutionGraphJSON

Convert a visual node-graph layout containing coordinate and interface metadata into a clean, execution-ready dependency graph.

List<DatasetPath> & List<Weight> -> Batch<Data>

Merge and sample from multiple independent data paths dynamically during training using configured mixture weights.

PlaintextData -> EncryptedHAMT

Store encrypted file chunks under random cryptographic labels in a Hash Array Mapped Trie (HAMT) without parent-child links to hide file structures and sizes from the storage host.

DAEFile -> BlockGraph

Read a 3D COLLADA design file to parse and instantiate a topological block graph.

ModelRegistryURI -> CachedModelPath

Translate diverse AI model source protocols (such as OCI registries, HuggingFace, and Ollama) into a uniform retrieval and caching interface.

FilePath -> LinkedFilePath

Link large model files into container volume boundaries using hardlinks, falling back to file copies if filesystem boundaries restrict hardlinking.

RawImage -> ModelInputTensor

Execute chained image transformations directly into pre-allocated, runtime-aligned execution tensors using specialized CPU/GPU libraries.

URL -> MarkdownDocument

Fetch content prioritizing native markdown HTTP headers, appending .md to target paths, and falling back to HTML-to-markdown DOM extraction.

URL -> TargetMarkdown

Traverse upward through a URL's path hierarchy recursively to locate and fetch the nearest context-providing llms.txt file.

Query -> RankedList<DocumentChunk>

Combine sparse keyword search scores and dense vector embedding similarity scores to retrieve relevant document chunks.

RawDocuments -> StructuredDataset

Ingest unstructured files like PDFs, CSVs, and DOCX documents and compile them into structured fine-tuning datasets.

(GraphTraversalQuery, SparseAdjacencyMatrices) -> QueryResult

Translate graph traversal and pattern matching queries into matrix multiplication operations over sparse adjacency matrices.

PropertyGraph -> SparseAdjacencyMatrices

Represent property graph topology and relationships as sparse adjacency matrices to optimize storage and allow algebraic traversals.

RelationalDataset -> RelationalDataset

Generate synthetic relational database tables by mapping and enforcing primary-foreign key linkages across parent and child tables.

UserEditRequest -> UpdatedAgentMemoryState

Exposes an agent's learned personal memory schemas directly to users for review, editing, and manual correction.

MultimodalMedia -> Stream<Chunk>

Deconstruct a complex media file or document into structured chunk sequences with sliding overlap for row-based extraction.

TableData + ColumnExpression -> TableData

Evaluate defined column expressions incrementally on new or stale rows using a dependency graph of column writes.

ReplicaMap, ClusterTopology -> List<ReplicationJob>

Monitor physical chunk placement maps and generate background copy or delete tasks to match target replication factors across varying server capacities.

NamespacePath, TransactionId, LockMode -> LockAcquisition

Serialize concurrent metadata mutations by applying intention and exclusive locks on path nodes inside a hierarchical tree namespace under a transaction context.

SQLQuery, Metadata<DistributedChunks> -> ResultSet

Execute SQL queries by running analytical engine instances (e.g., ClickHouse) natively inside cluster slots with direct, zero-copy read access to distributed storage chunks.