nMemory
An agent picks up a workflow another agent started. It has no idea what context the previous agent gathered. It re-asks the user, re-fetches the data, re-does the work. Or a returning user hits the system and the agent treats them like a stranger. Or the memory is there, but retrieval takes 800ms and the agent's already moved on.
nMemory solves all three. Persistent context across agents and sessions. Sub-50ms retrieval. Plugged into your ERP and CRM the day your engagement starts.
SIGNAL_FLOW
Architecture
Inputs
Engine
Outputs
SYSTEM_CAPABILITIES
Persistent contextual intelligence.
01
Short-Term Memory
Active conversation context. Tracks entities, intent, and thread across a single session.
02
Long-Term Memory
Persists user preferences, history, and behavioral patterns across sessions and channels.
03
Episodic Memory
Stores specific interaction moments. Emotional peaks, key decisions, resolution outcomes.
04
ERP/CRM Integration
Pulls and pushes data to enterprise systems. SAP, Salesforce, HubSpot, Oracle.
05
Minimum-Latency Retrieval
Optimized retrieval pipeline. Context assembled before the LLM needs it.
06
Cross-Session Continuity
Users never repeat themselves. Agents pick up where the last conversation ended.
CASE_STUDIES
Proven at Scale
Agentic Workflows
When agent B picks up from agent A, it knows what A captured, what was decided, and what's still pending. Workflow state survives across agent boundaries and across sessions.
Case Study →Healthcare
Patient calls back two weeks later. Agent knows their previous concerns, preferred provider, insurance status, what was unresolved. Sub-50ms retrieval. HIPAA-compliant retention.
Case Study →EdTech
Mentor agent remembers what a learner practiced last session, what they struggled with, what they're ready for next. Picks up where the last conversation ended.
Case Study →