Memory & Context Engine
Versioned, shared, governed memory for every agent across your entire organization. Your AI never forgets — and never accesses what it shouldn't.
Think of the Memory Engine like GitHub — but for AI context. Every interaction committed. Every decision versioned. Conflicts resolved automatically. Any agent, any session, any team can query the same shared memory — with access controls enforced by Knox so nothing leaks that shouldn't.
Memory That Works Like GitHub
Versioned and Committed
Every memory operation is a commit — timestamped, attributed, and reversible. When agents store context, decisions, or knowledge, the Memory Engine versions it. You always know what was stored, when, by which agent, and why.
Every memory operation is a commit — timestamped, attributed, and reversible.
Shared Across Your Stack
System-scoped memory is available to every agent across every team. When your sales agent learns something about a customer, your service agent knows it too. No manual sync. No duplicated context. One source of truth.
System-scoped memory is available to every agent across every team.
Conflict Resolution Built In
When multiple agents store conflicting information, the Memory Engine resolves it automatically — based on confidence scores, recency, and source credibility. Your agents always reason from the most reliable available context.
When multiple agents store conflicting information, the Memory Engine resolves it automatically.
How It Works
Agents Query, Not Own
Agents don't manage their own memory — they query the Memory Engine. This separation means memory persists when agents are updated, models are swapped, or sessions end. Your institutional knowledge outlives any individual agent.
Scoped to the Right Level
Agent-scoped memory is private to a specific agent — personalization, preferences, specific context. System-scoped memory is shared across all agents — customer history, company knowledge, process outcomes. You control the scope.
Temporal and Contextual
Some memory persists indefinitely — fundamental knowledge, long-term preferences. Some decays over time as it becomes less relevant. The Memory Engine manages this lifecycle automatically, returning the most contextually relevant memory for each reasoning query.
What Gets Remembered
Customer and Lead History
Every interaction, every preference, every signal — stored and queryable across sales, service, and marketing agents. Your agents pick up exactly where the last conversation left off, regardless of which agent handled it.
Decisions and Outcomes
Past decisions and their outcomes inform future reasoning. When the Thinking Agent OS constructs a plan, it queries Memory for what worked and what didn't. Your agents get smarter with every resolved ticket, closed deal, and completed workflow.
Institutional Knowledge
Upload SOPs, playbooks, contracts, and policies once. The Memory Engine indexes them and makes them queryable by every agent across every team — governed by Knox so access is always authorized.
Governed by Knox
Access Controls at Query Time
Knox enforces memory access controls at the moment of query — not after the fact. Agents can only access memory they're authorized to see. Sensitive information never leaks between agents or teams without explicit policy authorization.
Compliance-Ready
Every memory operation is logged — what was stored, who stored it, who accessed it, and how it influenced decisions. Retention policies, deletion schedules, and access audits are built into the infrastructure. Not configured per regulation — ready for any regulation.
Why Memory Is the Hardest Layer to Build
Can't Be Retrofitted
Memory infrastructure has to be designed into the platform from day one. Adding it later means architectural rebuilds, data migrations, and governance gaps that cannot be patched incrementally.
Compounds Over Time
Every interaction makes the Memory Engine more valuable. More context, better reasoning, sharper agents. Organizations that build on persistent memory infrastructure accumulate an intelligence advantage that competitors without it cannot replicate.
Model-Agnostic by Design
Memory persists independently of which LLM your agents use. Swap models, upgrade reasoning, experiment with new approaches — your accumulated context and knowledge stays intact.
Build AI That Remembers Everything
Start Building Today
Deploy memory infrastructure that makes your AI smarter with every interaction — governed, auditable, and model-agnostic.
Start Building Today
Deploy memory infrastructure that makes your AI smarter with every interaction — governed, auditable, and model-agnostic.
No credit card required • Memory persists across any LLM or agent framework