Data & knowledge
Long-term memory for a personal agent
An assistant that remembers across sessions.
- Memory
- NoSQL
- Search
The scenario
A personal assistant keeps preferences, history and ongoing tasks between conversations.
How it works
- 1Short-term context lives in memory with an expiry.
- 2Durable facts are saved as records.
- 3Past conversations are searchable.
An illustrative scenario, not a customer story.
Interactive simulation
Simulate this case study
Watch the partition come up, each step run, and usage build as it goes. Simulated: volumes, timings and prices are illustrative.
Partition
—
Status
not created
Elapsed
00:00
- Provisioning
- Processing
- Complete
01Short-term context lives in memory with an expiry.
queued- Ahura Memorymemory.setqueued
status: queued · 0 / 240 keys written
02Durable facts are saved as records.
queued- Ahura NoSQLnosql.getqueued
status: queued · 0 / 600 records written
03Past conversations are searchable.
queued- Ahura Searchsearch.knnqueued
status: queued · 0 / 520 documents indexed
Services in this partition
Memory
0 calls · 0.00 ACU
NoSQL
0 calls · 0.00 ACU
Search
0 calls · 0.00 ACU
Spend by service
Event log
- Waiting to start.
Why Ahura OS
Why this is better on Ahura OS
An assistant without memory starts every conversation as a stranger, and one with a vendor-held memory has your history on someone else’s terms. On Ahura OS short-term context lives in fast memory with an expiry, durable facts become records and past conversations are searchable. You choose what is kept and for how long, and the whole memory can be destroyed completely. Recall is a single fast call.
What each capability replaces
- Ahura MemoryInstead of provisioning and securing a cache or database, agents get fast key/value state with expiry already scoped to their partition.
- Ahura NoSQLInstead of designing tables and maintaining indexes, you write documents and query them. Indexes are looked after for you.
- Ahura SearchInstead of running a search cluster, a managed, high-performance search engine indexes your content on write and queries it fast.
And on every use case
One endpoint, not a stack
Memory, storage, compute, inference, identity and messaging share one connection, one identity and one bill. The integration work you would normally own disappears.
Isolation by construction
Every agent’s world is a partition. Separation is how the platform is built, not a convention teams must remember to follow.
Cost follows use
Pay per call and per millisecond. Idle agents freeze to archive pricing. There is no capacity to reserve and nothing running unseen.
Retention and deletion built in
Lifetimes, expiry, freezing and destruction are platform features, so your data policy is enforced rather than aspirational.
Safe autonomy
Spending limits, protected signing keys, approval steps and signed actions let agents work unattended without being unaccountable.
Ready for audit
Designed against SOC 2 and ISO 27001 controls, with every call metered, recorded and attributable.
Compared
The old way of doing things
An assistant that forgets everything between chats, or a vendor holding your history with no way to control it.
Data retention is built in
Everything this scenario stores lives in one isolated partition with a lifetime you set. Expired data deletes itself, a paused project freezes to low-cost archive, and a finished one can be destroyed completely. Security and compliance

