Agent Memory Persistence by @imgolye
Provide long-term memory persistence for AI agents with SQLite-backed storage, structured metadata, vector embeddings, semantic retrieval, lifecycle manageme...
π Tips & Best Practices
Embeddings are stored as JSON arrays in SQLite.
Vector search is implemented in TypeScript using cosine similarity, which keeps deployment simple and avoids SQLite extensions.
If memory volume grows substantially, replace VectorIndex with an ANN index or SQLite vector extension while preserving the MemoryManager API. βΈ Show full description clawhub install agent-memory-persistenceCopy
π§ͺ Use this skill with your agent Most visitors already have an agent. Pick your environment, install or copy the workflow, then run the smoke-test prompt above.
π Can't find the right skill?
Search 60,000+ AI agent skills β free, no login needed.
Search Skills β 