API for managing personal memory items with authentication and user-specific data.
API for managing personal memory items with authentication and user-specific data.
This API supports three authentication methods:
X-API-Key headerX-API-Key: <your-api-key>X-Session-Token headerX-Session-Token: <your-session-token>Authorization headerAuthorization: Bearer <token>All endpoints require one of these authentication methods.
curl -i -X DELETE \
'https://memoryserver-staging-223473570766.us-west1.run.app/v1/namespace/{namespace_id}?delete_memories=true&delete_neo4j_nodes=true&remove_acl_references=true' \
-H 'X-API-Key: string'Namespace deleted
ID of deleted namespace
ID of deleted namespace
ID of deleted namespace
Human-readable message
Human-readable message
Human-readable message
Cascade deletion details
Cascade deletion details
Error message if failed
Error message if failed
Error message if failed
{ "code": 200, "status": "success", "namespace_id": "string", "message": "string", "cascade": { "memories_deleted": 0, "memories_failed": 0, "neo4j_nodes_deleted": 0, "acl_read_cleaned": 0, "acl_write_cleaned": 0 }, "error": "string", "details": {} }
curl -i -X GET \
https://memoryserver-staging-223473570766.us-west1.run.app/v1/frequencies \
-H 'X-API-Key: string'Successful Response
Frequency band definitions
Frequency in Hz (brain-inspired band)
Field type: ENUM, FREE_TEXT, NUMERIC, DATE, MULTI_VALUE
Operational configuration
Path to DSPy-optimized extractor model (null = use direct LLM)
Path to DSPy-optimized extractor model (null = use direct LLM)
Path to DSPy-optimized extractor model (null = use direct LLM)
LLM model for metadata extraction
Frequency weight mode (legacy_sparse, code_search_v2, hybrid_optimized_v2)
Enable sparse frequency weights
Enable complex interference scoring (PDCI, SFI)
Enable query-adaptive frequency weights
Cross-encoder reranking model
Number of candidates for cross-encoder reranking
Over-fetch count from Qdrant for reranking
Enable entailment-gated reranking (EGR)
{ "success": true, "schemas": [ { … } ], "total": 0, "shortcuts": { "property1": "string", "property2": "string" } }
curl -i -X GET \
'https://memoryserver-staging-223473570766.us-west1.run.app/v1/frequencies/{frequency_schema_id}' \
-H 'X-API-Key: string'Successful Response
Frequency band definitions
Operational configuration
Path to DSPy-optimized extractor model (null = use direct LLM)
Path to DSPy-optimized extractor model (null = use direct LLM)
Path to DSPy-optimized extractor model (null = use direct LLM)
LLM model for metadata extraction
Frequency weight mode (legacy_sparse, code_search_v2, hybrid_optimized_v2)
Enable complex interference scoring (PDCI, SFI)
Enable query-adaptive frequency weights
Cross-encoder reranking model
Number of candidates for cross-encoder reranking
Enable entailment-gated reranking (EGR)
{ "schema_id": "string", "name": "string", "domain": "string", "version": "string", "description": "", "num_frequencies": 0, "frequencies": [ { … } ], "config": { "dspy_model_path": "string", "llm_metadata_model": "gpt-5-mini", "weight_mode": "legacy_sparse", "contrast_gamma": 2, "use_sparse_weights": true, "use_complex_interference": true, "use_adaptive_weights": true, "cross_encoder_model": "Qwen/Qwen3-Reranker-4B", "cross_encoder_topk": 25, "qdrant_topk": 50, "enable_entailment_rerank": true, "default_scoring_method": "egr_rerank" } }