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SimplAI Agent Memory

The memory layer for
enterprise AI agents

A core layer of SimplAI OS that gives agents continuity across users, workflows, and knowledge - with governance built in.

SimplAI Agent Memory - User Memory, Memory Rules and Agent Memory UI
Context Engine

Memory is the context layer for
enterprise agents

SimplAI Agent Memory gives agents the context they need to personalize, retrieve, reason, and act over time.

User Memory - stable user context like language, formatting preferences
User Memory
Remember stable user context like language, formatting preferences, identifiers, and recurring needs.
Agent Memory - execution patterns, workflow history, prior task behavior
Agent Memory
Retain useful execution patterns, workflow history, and prior task behavior that improve future performance.
Knowledge Memory - enterprise knowledge retrieval grounded in approved context
Knowledge Memory
Retrieve from enterprise knowledge so responses stay grounded in approved business context.
Connected Memory - graph-based context across entities and relationships
Connected Memory
Use graph-based context across entities and relationships so agents understand how users, workflows, and knowledge fit together.
Context

Without memory, every interaction
starts from zero

Agent Memory reduces repetition, improves continuity, and helps agents apply the right context at the right moment across conversations and workflows.

Personalized responses
Remember language, tone, output format, and recurring user preferences.
Less repeated input
Users do not need to restate identifiers, preferences, or workflow context every time.
Workflow continuity
Carry context across sessions so agents can support longer-running operational tasks.
Smarter execution
Use prior context and successful patterns to make future interactions more efficient.
SimplAI Agent Memory - User Memory, Memory Rules and Agent Memory UI
How It Works

Governed memory.
Applied automatically.

SimplAI captures stable context, evaluates it against policy, stores only what is permitted, and reuses it when relevant later.

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Context is introduced
A user or workflow provides a preference, identifier, business fact, or operational detail.
Policies are applied
Include and exclude rules determine whether that information can be stored.
Context becomes memory
Only permitted information is saved. Sensitive or excluded data is ignored.
Memory is reused later
Relevant context is applied automatically in future interactions to improve continuity, speed, and precision.
WHAT TO REMEMBER. WHAT NEVER TO STORE.
RECOMMENDED TO STORE
  • Preferred language or tone
  • Reply format preferences
  • Department or team
  • Location or time zone
  • Employee or user identifiers
  • Project codes or ticket queues
  • Approval chains or reporting preferences
MUST NEVER BE STORED
  • Passwords
  • One-time passwords
  • API keys or access tokens
  • Credit card or payment information
  • Health or medical records
  • Sensitive personal information
  • Temporary or session-only details
Enterprise Governance

Built for enterprise governance

SimplAI Agent Memory improves agent performance without compromising policy control, data isolation, or operational oversight.

Core pillar
Policy-based governance
Memory behavior is controlled by configurable organizational rules, not agent defaults.
User-level isolation
Each user's memory stays isolated to prevent cross-user leakage.
Sensitive data protection
Policy controls help ensure prohibited information is never retained.
Administrative control
Teams can review, adjust, and clear memory as policies evolve.
Auditability
Memory operations align to enterprise governance and oversight requirements.

Give your agents memory - without
giving up control

Deploy Agent Memory with the controls needed to improve continuity, personalization, and workflow execution safely.

Trusted by Industry Leaders

FAQ

Frequently Asked Questions

Everything you need to know about SimplAI Agentic Memory.

SimplAI Agentic Memory is an enterprise memory layer that enables AI agents to retain user preferences, conversation history, organizational knowledge, and connected tool data across interactions. Instead of starting every conversation from zero, agents deliver personalized, context-aware responses — critical for customer service, employee assistance, and long-term relationship workflows worldwide.
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