> ## Documentation Index
> Fetch the complete documentation index at: https://docs.memmachine.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Get Long Term Memory Config

> Get long-term memory configuration.

    Returns the current long-term memory configuration including embedder,
    reranker, vector graph store, and enabled status.



## OpenAPI

````yaml /openapi.json get /api/v2/config/memory/episodic/long_term
openapi: 3.1.0
info:
  title: MemMachine API
  version: 0.3.10
  description: >-
    Architectural Memory Systems for AI Agents. Specialized in episodic and
    semantic memory management with strict namespace isolation.
servers:
  - url: http://localhost:8080
security: []
tags:
  - name: Configuration
    description: System overview and memory subsystem configuration.
  - name: Episodic Configuration
    description: Per-project episodic memory subsystem configuration.
  - name: Memories
    description: Core operations for episodic and semantic memory ingestion and retrieval.
  - name: Projects
    description: Lifecycle management for isolated memory namespaces.
  - name: Resources
    description: Embedder, language model, and reranker lifecycle management.
  - name: 'Semantic Memory: Categories'
    description: Category, template, and tag management for semantic sets.
  - name: 'Semantic Memory: Features'
    description: Add, retrieve, and update individual semantic features.
  - name: 'Semantic Memory: Sets'
    description: Set type and set ID lifecycle, listing, and configuration.
  - name: System
    description: Infrastructure, health, and observability.
paths:
  /api/v2/config/memory/episodic/long_term:
    get:
      tags:
        - Configuration
      summary: Get Long Term Memory Config
      description: |-
        Get long-term memory configuration.

            Returns the current long-term memory configuration including embedder,
            reranker, vector graph store, and enabled status.
      operationId: get_long_term_memory_config_configuration
      responses:
        '200':
          description: Successful Response
          content:
            application/json:
              schema:
                $ref: '#/components/schemas/LongTermMemoryConfigResponse'
components:
  schemas:
    LongTermMemoryConfigResponse:
      properties:
        backend:
          anyOf:
            - type: string
              enum:
                - declarative
                - event
            - type: 'null'
          title: Backend
          description: >-
            Long-term memory backend. None means the writer predates the
            discriminator and is treated as 'declarative'.
        embedder:
          anyOf:
            - type: string
            - type: 'null'
          title: Embedder
          description: |2-

                ID of the embedder resource used for long-term memory.
        reranker:
          anyOf:
            - type: string
            - type: 'null'
          title: Reranker
          description: |2-

                ID of the reranker resource used for long-term memory search.
        vector_graph_store:
          anyOf:
            - type: string
            - type: 'null'
          title: Vector Graph Store
          description: |2-

                ID of the vector graph store (database) for storing long-term memories.
        vector_store:
          anyOf:
            - type: string
            - type: 'null'
          title: Vector Store
          description: VectorStore resource id (event backend only)
        segment_store:
          anyOf:
            - type: string
            - type: 'null'
          title: Segment Store
          description: >-
            SQL engine resource id backing the segment store (event backend
            only)
        properties_schema:
          anyOf:
            - additionalProperties:
                type: string
              type: object
            - type: 'null'
          title: Properties Schema
          description: >-
            User-defined filterable properties (event backend only). Maps name
            to type ("bool", "int", "float", "str", "datetime").
        enabled:
          type: boolean
          title: Enabled
          description: |2-

                Whether long-term memory is enabled.
          default: true
      type: object
      title: LongTermMemoryConfigResponse
      description: Response model for long-term memory configuration.

````