Memory Node Catalog

Generated category

Memory Node Catalog

Generated from 9 catalog nodes in AI/Memory.

AI/Memory/Graph

Nodes in this category

Showing 9 of 9 generated node docs.

Search

B

Build Memory Context

AI/Memory

Assembles retrieved memory records into a token-budgeted context string for injection into agent system prompts

4 in3 outSecurity 1/10

C

Compress Memory

AI/Memory

Compresses old memory observations into a summary using an LLM, then replaces them in the store. Runs the embedding model to store the summary vector.

4 in4 outSecurity 3/10

C

Create Memory Config

AI/Memory

Creates a MemoryConfig that bundles database, embedding model, and tuning parameters for all memory nodes

7 in1 outSecurity 2/10

O

Optimize Memory

AI/Memory

Runs LanceDB maintenance on the memory table: flush buffered writes, compact fragments, prune old versions, and rebuild indices. Run periodically or after bulk writes.

3 in1 outSecurity 0/10

S

Search Memory

AI/Memory

Searches the memory store using the configured recall strategy (recent, relevance, or hybrid)

4 in3 outSecurity 3/10

S

Store Memory

AI/Memory

Embeds text and stores it as a memory observation in the configured LanceDB table

4 in2 outSecurity 3/10

K

KG Extract

AI/Memory/Graph

Extracts entities (nodes) and relationships (edges) from text using an LLM, returning structured arrays ready for graph insertion

5 in6 outSecurity 4/10

K

KG Retrieve

AI/Memory/Graph

Retrieves context from a knowledge graph: embeds the query, finds matching nodes, then expands N hops to build structured context

7 in6 outSecurity 3/10

K

KG Summarize

AI/Memory/Graph

Converts a subgraph (nodes + edges) into a natural-language summary for LLM consumption

5 in4 outSecurity 2/10