Memory Agent Nodes

Query the long-term memory database (RAG) and unpack the returned memory documents.

2 nodes.

Node	Registry path
Query Context DB	`agents/memory/QueryContextDB`
Unpack Memory Document	`agents/memory/UnpackMemoryDocument`

Query Context DB

agents/memory/QueryContextDB

Queries the memory agent's context database with one or more queries and collects the matching documents, up to a total token budget.

Inputs

Input	Type	Description
`state`	`any`	The graph state
`queries`	`list,str`	(optional) The queries to run (list, or a single query string)
`meta_filters`	`dict`	Metadata filters to constrain the results (optional)
`max_tokens`	`int`	The maximum total tokens of results to return (optional)
`fn_filter`	`function`	Function that receives a result and returns whether to keep it (optional)
`fn_formatter`	`function`	Function that receives a result and returns its formatted replacement (optional)

Outputs

Output	Type	Description
`state`	`any`	The state input, passed through
`results`	`list`	The list of matching documents

Properties

Property	Type	Default	Description
`queries`	`list`	`[]`	The queries to use to query the context database
`meta_filters`	`dict`	`{}`	The meta filters to apply to the results
`max_tokens`	`int`	`1024`	The maximum number of tokens to return
`limit`	`int`	`10`	The number of N best results to consider per query
`iterate`	`int`	`3`	The number of results to return per query

agents/memory/UnpackMemoryDocument

Unpacks a memory document into its individual fields.

Inputs

Input	Type	Description
`document`	`memory/document`	The memory document to unpack

Outputs

Output	Type	Description
`document`	`memory/document`	The memory document, passed through
`meta`	`dict`	The document's metadata dict
`id`	`str`	The document's ID in the memory database
`raw`	`dict`	The document's raw content
`as_text`	`str`	The document rendered as text
`as_dict`	`dict`	The document as a dict
`context_id`	`context_id`	The document's context ID