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AMEM.SEM.CREATE

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AMEM.SEM.CREATE agent_id dimensions
Group
Agent memory
Complexity
O(1)
Arity
3 (exactly, counting the command name)
Flags
write, slow
Keys
first 1, last 1, step 1
HotKV Cloud
Performance and Scale
On-Premise
requires the agent-memory license feature

Agent memory gives AI agents four kinds of memory. Semantic memory holds an agent’s long-term facts, each with an embedding your application computes, and recalls them by cosine similarity to a query embedding. AMEM.SEM.CREATE creates the store for agent_id, for embeddings of exactly dimensions values (1 to 65536). You must create it before you store facts with AMEM.SEM.STORE.

Return value

Section titled “Return value”
Case RESP2 RESP3
Store created Simple string OK Same

Errors:

  • ERR invalid dimensions (must be 1-65536) if dimensions is not an integer in that range.
  • ERR agent store already exists if the agent already has a semantic store.
  • ERR wrong number of arguments for 'amem.sem.create' command if the argument count is wrong.
  • NOLICENSE agent-memory requires a HotKV license. Contact sales@hotkv.com if your license does not include the agent-memory feature.

Examples

Section titled “Examples”
127.0.0.1:6379> AMEM.SEM.CREATE knowledge-base 1536
OK
127.0.0.1:6379> AMEM.SEM.CREATE notes 3
OK

Compatibility

Section titled “Compatibility”

HotKV-only command. Redis and Valkey have no equivalent.

See also

Section titled “See also”

AMEM.SEM.STORE, AMEM.SEM.RECALL, AMEM.SEM.FORGET, AMEM.SEM.LIST, AMEM.SEARCH, AI features guide