> ## Documentation Index > Fetch the complete documentation index at: https://docs.orq.ai/llms.txt > Use this file to discover all available pages before exploring further. # List memory stores > Retrieves a paginated list of memory stores in the workspace. Use cursor-based pagination parameters to navigate through the results. ## OpenAPI ````yaml get /v2/memory-stores openapi: 3.1.0 info: title: orq.ai API version: '2.0' description: orq.ai API documentation servers: - url: https://api.orq.ai security: - ApiKey: [] tags: - description: List models available through the AI Router. name: Models - name: Guardrail Rules - name: Policies - name: Routing Rules - name: API keys description: >- API keys authenticate programmatic access to the workspace. The unified key model exposes opaque tokens, per-domain access grants, and budget / rate-limit constraints (see ADR 0001 and ADR 0002). - name: Budgets description: >- Budgets govern spend, token usage, and request rate across six scopes: workspace, project, identity, api-key, provider, and model. A budget is hierarchical and defense-in-depth — every applicable budget is a hard gate, and the most restrictive one wins per dimension (see ADR 0007). - name: Documentation description: >- Search the orq.ai documentation. Proxies the workspace's query to the hosted docs search index. - name: Files description: File upload and retrieval operations. - name: Identities description: >- Identities represent end users from your system for usage and engagement tracking. - name: Projects description: Projects organize resources within a workspace - name: Skills description: >- Skills are modular instructions you can use to codify processes and conventions - name: Responses - description: >- Run agents on a cadence — cron, interval, or one-off. Minimum firing interval is 1 hour. name: Agent Schedules - name: Embeddings - name: Reporting description: >- GenAI reporting API over canonical analytics rollups. Accepts a metric name, time range, grain, group-by, and filters; returns a typed time series and optional totals. externalDocs: url: https://docs.orq.ai description: orq.ai Documentation paths: /v2/memory-stores: get: tags: - Memory Stores summary: List memory stores description: >- Retrieves a paginated list of memory stores in the workspace. Use cursor-based pagination parameters to navigate through the results. operationId: GetAllMemoryStores parameters: - schema: type: integer minimum: 1 maximum: 200 default: 10 description: >- A limit on the number of objects to be returned. Limit can range between 1 and 50, and the default is 10 required: false description: >- A limit on the number of objects to be returned. Limit can range between 1 and 50, and the default is 10 name: limit in: query - schema: type: string description: >- A cursor for use in pagination. `starting_after` is an object ID that defines your place in the list. For instance, if you make a list request and receive 20 objects, ending with `01JJ1HDHN79XAS7A01WB3HYSDB`, your subsequent call can include `after=01JJ1HDHN79XAS7A01WB3HYSDB` in order to fetch the next page of the list. required: false description: >- A cursor for use in pagination. `starting_after` is an object ID that defines your place in the list. For instance, if you make a list request and receive 20 objects, ending with `01JJ1HDHN79XAS7A01WB3HYSDB`, your subsequent call can include `after=01JJ1HDHN79XAS7A01WB3HYSDB` in order to fetch the next page of the list. name: starting_after in: query - schema: type: string description: >- A cursor for use in pagination. `ending_before` is an object ID that defines your place in the list. For instance, if you make a list request and receive 20 objects, starting with `01JJ1HDHN79XAS7A01WB3HYSDB`, your subsequent call can include `before=01JJ1HDHN79XAS7A01WB3HYSDB` in order to fetch the previous page of the list. required: false description: >- A cursor for use in pagination. `ending_before` is an object ID that defines your place in the list. For instance, if you make a list request and receive 20 objects, starting with `01JJ1HDHN79XAS7A01WB3HYSDB`, your subsequent call can include `before=01JJ1HDHN79XAS7A01WB3HYSDB` in order to fetch the previous page of the list. name: ending_before in: query responses: '200': description: Successfully retrieved the list of memory stores. content: application/json: schema: type: object properties: object: type: string enum: - list data: type: array items: type: object properties: _id: type: string description: The unique identifier of the memory store key: type: string minLength: 1 maxLength: 255 pattern: ^[A-Za-z]([A-Za-z0-9]*([._][A-Za-z0-9]+)*)?$ description: >- The unique key of the memory store. The key is unique and inmmutable and cannot be repeated within the same workspace. description: type: string description: >- The description of the memory store. Be as precise as possible to help the AI to understand the purpose of the memory store. created_by_id: type: - string - 'null' description: The user ID of the creator updated_by_id: type: - string - 'null' description: The user ID of the last updater created: type: string description: The creation date of the memory store updated: type: string description: The last update date of the memory store ttl: type: number description: >- The default time to live of every memory document created within the memory store. Useful to control if the documents in the memory should be store for short or long term. embedding_config: type: object properties: model: type: string description: >- The embeddings model to use for the knowledge base in the format "provider/model" for public models or "workspaceKey@provider/model" for private workspace models. This model will be used to embed the chunks when they are added to the knowledge base. Refer to the (Supported models)[/docs/proxy/supported-models] to browse available models. required: - model required: - _id - key - description - created - updated - embedding_config has_more: type: boolean required: - object - data - has_more '401': description: Unauthorized - Bearer token is missing or invalid. content: application/json: schema: $ref: '#/components/schemas/HonoApiError' components: schemas: HonoApiError: type: object properties: code: type: string description: HTTP status code message: type: string description: Error message required: - message securitySchemes: ApiKey: type: http scheme: bearer bearerFormat: JWT ````