Session amnesia
A returning user has to repeat goals, preferences, issues, and history every time a new session starts.
Production memory for AI products
Give your AI the context it should never forget.
MemoryOS turns conversations into governed, prompt-ready memory across sessions, agents, and services. Extraction, retrieval, conflict resolution, provenance, consent, and domain schemas - in one API.
Python SDKTypeScript SDKREST APIMCP Server
app.memoryo.dev/select-domain
Customer Support schema selected
The memory problem
Storage is the easy part.
Production memory must decide what is durable, what changed, which source to trust, what the user approved, and what context the next agent actually needs.
Multi-agent drift
Support, onboarding, recommendations, and copilots each build a different picture of the same person.
Conflicting truth
New facts contradict old facts, but raw vector retrieval returns both and leaves the model to guess.
Domain schema registry
One memory platform, multiple production engines.
Start with universal memory. Switch on a domain schema when your AI needs industry-specific extraction, retrieval, and safety behavior.
Customer support memory
Support bots resolve faster because customers stop repeating context.
Tracks account context, open issues, sentiment risk, resolution preferences, and vertical-specific support signals.
SaaSe-commercebanking/fintechtraveltelecom
Live memory context
engine: support
Open issue: invoice failed after Growth upgrade
ranked by relevance, importance, and freshness
Prefers refund over replacement for delayed orders
ranked by relevance, importance, and freshness
High escalation risk on payment failures
ranked by relevance, importance, and freshness
system_prompt_addition = retrieve(query, user_id, domain_schema)
From messages to memory
Four stages. One reliable context layer.
Keep your model, tools, and agent framework. MemoryOS handles the memory lifecycle around them.
01
Add
Conversations, tickets, lessons, tool events, and corrections.
02
Extract
Durable facts, preferences, goals, procedures, and domain signals.
03
Resolve
Authority, recency, conflicts, provenance, and version history.
04
Retrieve
Compact, prompt-ready context for the next model call.
Two calls to start.
Write after a conversation. Retrieve before the next model call. Add source metadata, domain schemas, or Memory Passport when your product needs them.
from memoryos import Memory
mem = Memory(api_key="mem_live_xxx")
mem.add(messages, external_user_id="user_123")
context = mem.get(query, external_user_id="user_123")MemoryOS product tour
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Your workspace is ready
One control surface for memory, users, quality, and usage.
Memory lab
Test the memory decision, not a fake chatbot.
Explore extraction, conflict handling, and consent in one compact console. It is simulated, so no account or API key is required.
memoryos://playground
local simulationInput signal
Remember memory
This demo visualizes the decision path. Production requests use your workspace key and tenant boundary.
Memory response
Relevant context, ready for the model
Preference
Short replies for debugging
Preference
Detailed learning steps
Fact
Mostly codes in Python
response · 187ms simulated
Production foundations
Reliable after the demo.
MemoryOS provides the controls teams usually discover only after their first memory prototype reaches real users.
Quality gates
Block duplicate, low-signal, over-budget, or rate-limited writes before they pollute memory.
Conflict resolution
Use authority, source truth, recency, and explicit review paths instead of storing contradictions forever.
Provenance
Track which service wrote a memory, what evidence produced it, and why retrieval trusts it.
Lifecycle controls
Reinforce useful memory, archive stale facts, preserve versions, and handle corrections without losing history.
Graceful degradation
Keep your product responsive when quotas or dependencies force a partial memory experience.
Tenant isolation
Keep customer memory scoped to the right tenant, user, agent, and permission boundary.
Inspect what MemoryOS stores and why.
Use the dashboard for API keys, users, usage, schemas, quality logs, and domain-specific views.
Built around real workflows
Memory that understands the product it serves.
Customer Support
Pick up where the last ticket ended.
Remember open issues, account context, sentiment risk, communication preferences, and resolution history.
Explore use caseEducation
Teach the learner you already know.
Carry weak topics, exam context, learning style, language comfort, and progress signals into every session.
Explore use caseMemory Passport
Share memory without hiding control.
Let users approve categories, inspect grants, correct facts, resolve questions, and revoke agent access.
Explore use caseStart with your real product
Give your next AI interaction the context the last one earned.
Try the simulated playground, follow the quickstart, or talk with us about production onboarding.