Trace every memory
See its source, extraction policy, version history, retrieval score, and downstream use.
MEMORY INFRASTRUCTURE / EARLY ACCESS
THE MEMORY
CONTROL PLANE
FOR AI AGENTS.
Ingest raw interactions. Extract durable facts. Resolve conflicts. Build the right context under strict token, privacy, and freshness budgets.
AGENTS DO NOT NEED MORE MEMORY.
THEY NEED MEMORY THAT CAN BE TRACED, CORRECTED, EVALUATED, AND FORGOTTEN.
01 / DATA PLANE
From event to usable context.
One operational layer between your agents and every memory store.
01:12:04.201 event.received 200 OK 01:12:04.204 identity.resolved user_123 01:12:04.207 schema.validated conversation.message 01:12:04.209 pipeline.dispatched memory/default@v12
02 / CONTROL PLANE
See why your agent remembered.
Follow every memory from source event to injected context and final response.
01
USER EVENT
source“I moved to Hangzhou last month.”
02
CONFLICT FOUND
resolveCurrent city: Shanghai → Hangzhou
03
MEMORY UPDATED
writeVersion 4 · confidence 0.96
04
CONTEXT INJECTED
serveCurrent location included · 18 tokens
POLICY / customer-agent@v12
- Freshness
- < 30 days
- Token budget
- 1,200
- Sensitive data
- Redact PII
- Conflict mode
- Version + expire
CONTEXT BUDGET724 / 1,200
03 / OPERATIONS
Memory you can run in production.
Keep facts current
Detect contradictions, merge duplicates, expire stale claims, and preserve history.
Control context cost
Filter, rerank, and compress memory against explicit task and token budgets.
Replay before release
Compare policy versions against real events before reprocessing production memory.
Govern user data
Apply retention, deletion, redaction, access, and tenant isolation policies.
Use your own stack
Route to Postgres, vector stores, graphs, or existing memory providers.
04 / BUILT FOR
Teams whose agents serve the same user again and again.
01
Customer agents
Remember customer constraints, previous issues, attempted fixes, and commitments.
02
Sales & CRM agents
Keep account context, stakeholder preferences, objections, and next actions current.
03
Agent platforms
Give every internal agent one governed memory API across teams and stores.
PRIVATE PREVIEW
YOUR AGENT ALREADY HAS MEMORY.
NOW MAKE IT OPERABLE.
We are working with teams running stateful agents in production. Tell us where memory breaks in your stack.
Talk to the builder ↗