Store, retrieve, search, and reason over memories with the StixDB SDK client.
npx skills add https://github.com/Pr0fe5s0r/StixDB --skill sdk-memory-layer
Please help me install this Agent Skill. Skill: sdk-memory-layer Source: https://github.com/Pr0fe5s0r/StixDB/tree/main/sdk/skills Command: npx skills add https://github.com/Pr0fe5s0r/StixDB --skill sdk-memory-layer
Stores, retrieves, searches, and reasons over memories using the StixDB SDK client, enabling memory-driven applications to persist experiences, facts, and metadata.
Install the stixdb-sdk, instantiate a client, and call memory.store to save your first memory.
High-intent search queries and answers about installing and using this skill.
Store and retrieve application memories using the StixDB SDK by instantiating a client and calling memory.store. You can organize memories across collections with various node types and hierarchical tiers, then query them back via the available APIs.
Perform semantic search over stored memories and documents using the StixDB SDK's SearchAPI. It enables querying across collections and ingested documents, allowing memory-driven applications to find relevant facts, metadata, and past experiences.
Yes, the StixDB memory management SDK supports both synchronous and asynchronous usage in Python. This allows you to build scalable workflows for document ingestion, memory storage, and agentic querying without blocking execution.
Ingest documents and manage metadata for agentic reasoning using the StixDB SDK's MemoryAPI and QueryAPI. These interfaces support tagging, hierarchical memory tiers, and semantic search to inform future application interactions.
You need Python 3.8 or higher and the stixdb-sdk package to use the StixDB SDK for memory persistence. The SDK provides synchronous and asynchronous clients to store, search, and reason over application memories.
Yes, you can build a personal assistant that recalls user preferences with a memory layer using the StixDB SDK. It stores user actions, facts, and metadata across collections, enabling the assistant to query past experiences and inform future interactions.
Pr0fe5s0rLoad, store, and retrieve AI agent memory via StixDB.
harperaaIngest URLs or files and extract deduplicated insights with source attribution.
ruvnetAutomate AI agent memory management with AgentDB persistent storage and ReasoningBank integration.
Pr0fe5s0rManage agent memories via Python async APIs to a StixDB server.
