Every Agent in Your Stack.
The Right Context. Every Time.
MemoAIr is a shared memory and context engineering layer for production grade AI agents giving every agent in your stack persistent memory, full user context, and personalized responses across chat, voice, and video.
Cognitive Architecture
Not Just a Database.
A Living Brain.
Generic RAG is static. MemoAIr uses Hippocampal indexing theory to mimic the human brain by separating memory into specialized layers that mix and evolve at runtime.
Swipe cards to explore
Session Memory
Temporary working memory for active tabs, clips, and agent sessions. Fast capture + fast recall, designed to expire or consolidate.
Permanent Memory
Permanent memory consolidated into a user graph: preferences, decisions, facts, and long-lived relationships that survive across tools and time.
Hover over a layer to explore
Domain Ontology
Ontology layer: definitions, schemas, and domain concepts that keep memories consistent and prevent semantic drift across teams and agents.
Shared Knowledge
Org memory: shared policies, playbooks, and constraints enforced across every agent session—with governance and auditability built in.
How It Works
MemoAIr Replaces Your Entire RAG Stack
MemoAIr intercepts agent calls, structures memory intelligently, & serves optimized context to your LLM. One integration, live in minutes.
Org Knowledge
connector
User Information
connector (eg. CRM)
Custom data
pipeline
Unified Knowledge Layer
Connect Org Data + Personal Context
Grounded by Ontology
Your AI agents need more than just user memory. They need organizational knowledge and domain expertise—all working together, without conflicts.
Organization Data
Shared policies, playbooks, product specs, and team knowledge that every agent should know.
User Personalized Data
Individual preferences, history, decisions, and context that makes every interaction personal.
The Problem
Fragmented AI Memory
Every team uses multiple AI tools like support bots, copilots, assistants, and CRM agents.
But none of them share context
creating costly, inconsistent, and ungoverned AI systems.
Rebuilds Memory from Scratch
Time wasted setting up new memory systems for each tool
Burns 40–50% More Tokens
Redundant context passed wastefully to LLMs
Customers Repeat Themselves
Poor experience across disconnected systems
Zero Governance and Visibility
No visibility into what AI remembers or stores
What Can You Build with MemoAIr?
Domain-smart copilots that learn & adapt
Sits behind your agent as the retrieval and reasoning core. MemoAir gives every vertical copilot—healthcare, legal, finance—persistent memory tuned to its domain.
Replaces custom knowledge graphs and vector stores with one platform. Ontology-aware extraction structures your domain’s entities, relationships, and constraints automatically.
Learns from feedback, updates concepts and synonyms, and executes multi-step tasks with explanations. Your agent gets smarter with every interaction.
Platform Architecture
Five Layers. One Memory.
Purpose-built layers that work together—from raw data ingestion to real-time agent retrieval.
The unified memory surface for your entire AI stack. Persistent context flows across sessions, tools, and teams through a single MCP endpoint.
The Impact
Measured Outcomes
One API, deployed in minutes, eliminates the biggest pains of disconnected AI memory — reducing cost, improving experience, speeding setup, and restoring governance.
Deploy Once, Scale Everywhere
Unified memory setup takes minutes, not 4–6 weeks per tool.
LLM Cost Reduction
Smart memory retrieval injects only relevant facts (3–5 vs 50+ redundant lines).
Customer Experience
No more repeated questions—AI remembers customer context across all tools.
Compliance Audit-Ready
Central governance layer with access to every memory logged and policies enforced.
Use Cases
Built for Your Most Critical Workflows
From healthcare to sales — MemoAIr adapts to how your industry works.
Patient repeats medical history at every visit — no continuity across providers
Smart Patient Care Assistant
Remembers patient history, allergies, and treatment preferences across visits — providing personalized care that improves with every interaction.
AI assistants miss allergies, prior treatments, and medication interactions
Chronic Condition Companion
Learns what works (and what doesn't) for the patient over time, offering thoughtful reminders and insights tailored to each patient's journey.
Therapists lose session context between appointments — patients feel unheard
Therapy Progress Tracker
Builds on previous sessions to deliver consistent, context-aware mental health support. Creates trust through conversations that remember what matters.
Benchmarks
Measured Against the Best
Rigorous benchmarks comparing MemoAir against Mem0 and Supermemory. Real data, no marketing fluff.
Retrieval Latency
Mean response time (lower is better)
Benchmark: 10 iterations, 20 documents, 10 queries • MemoAir includes 50-100ms network overhead
Architecture Comparison
Unique capabilities that matter
Vector-only alternatives lack the relationship reasoning and temporal awareness that enterprise AI needs.
Why the Trade-off?
MemoAir invests more at write-time (knowledge graph construction) to optimize read-time. For read-heavy AI workloads, this delivers 2.7x faster retrieval where it matters most.
Benchmark data from February 2026 • MemoAir adjusted for network overhead • 10 iterations per provider •Full methodology
Developer First
Drop-in SDK.
Minutes to Value.
Three simple APIs deliver 80% of the value. Multi-tool memory that just works.
await memoair.add_memory({
user_id: "user_123",
text: "Customer prefers weekly summaries via email.",
source: "support_ticket_#402"
});Works With Your Existing Stack
Plus enterprise integrations
Pricing
Pricing That Scales With You
From freemium to enterprise. Proven unit economics with 95%+ retention.
Hobby
For individuals exploring shared AI memory
Growth
For small teams connecting 2–3 AI tools
Pro
For teams scaling across agents and workflows
Enterprise
For large orgs with 5+ tools & compliance needs
All plans include core APIs, multi-tenant isolation, and a 99.5% uptime SLA.
Ready to Unify Your AI Memory?
Join the Early Access
Join leading enterprises reducing token costs by 40%, improving CSAT by 25%, and becoming audit-ready in weeks.