Fabric Mind is infrastructure for enterprise AI—durable memory, policy enforcement, and model-agnostic governance. Deploy sovereign intelligence that remembers, complies, and evolves under your control.

Modern AI systems reason well in isolation—but enterprises deploy them in environments where history, policy, and accountability must persist.
Each interaction is treated as a fresh problem, forcing agents to repeatedly reconstruct history and increasing inconsistency across sessions.
Reconstructed every time
Without a shared memory plane, agents diverge in decisions and interpretations over time—even when operating under identical policies.
Diverges across agents
Policies and knowledge updates propagate unevenly across prompts, tools, and systems, making compliance and auditability difficult at scale.
Policy copies fragment
Systems
CRM, ERP, Tickets
Communication
Slack, Email
Knowledge
Docs, Policies
AI Agents
Decisions, outcomes
Captures:
Decisions
Outcomes
Exceptions
(Entity-linked, time-indexed)
Policy enforcement
Retention rules
Retrieval rules
Relevance scoring
Policy-filtered
Access control
Recommendations
Agent decisions
Tool execution
Action gating
Audit logging
Replay safety
Stateless intelligence optimizes responses. Stateful memory governs systems.
These capabilities emerge from shared, durable enterprise memory—not stateless prompts or ad-hoc retrieval.
Memory-grounded decisions enforced by policy and historical precedent.
Derived from longitudinal memory, not prompt heuristics
Long-horizon behavioral pattern detection across entities, agents, and time.
Operates over time-indexed impressions, not logs
Task-specific context assembled from governed, durable enterprise memory.
Assembled from governed memory, not vector recall alone
Powered by Durable Enterprise Memory
Fabric Mind operates as dual infrastructure: memory that persists, and control that governs.
Events → Impressions → Patterns: Raw signals become structured memory, revealing long-horizon trends across time.
Cross-system timelines: Memory persists across agents, sessions, and systems—not trapped in isolated contexts.
Entity-linked, durable memory: Every interaction is anchored to entities, creating a continuous history that survives system changes.
Identity and authority: Every action is attributed, every decision is traceable to a known actor.
Policy enforcement: Governance rules constrain what memory can be accessed, how it's used, and when it expires.
Action gating: Decisions pass through policy checks before execution, ensuring compliance at every step.
Audit and replay: Full traceability of memory access and agent decisions, enabling forensic analysis and regulatory compliance.
Together, these planes enable AI systems that are both intelligent and accountable.
Fabric Mind is model-agnostic infrastructure. Bring your own models, deploy anywhere, and enforce governance at the memory layer—not the prompt layer.
Memory + Governance Layer
External, replaceable inference runtime
Open-source
Commercial APIs
Custom Models
Swap models without rewriting memory or policy.
Deploy on-prem, VPC, or air-gapped with full data locality.
Enforce access, retention, and audit at the memory layer.
Fabric Mind is infrastructure, not a model provider. Bring your intelligence, we provide the memory and control.
This is a new category. We are building Fabric Mind with a small number of design partners shaping the future of enterprise memory for AI systems.
Early access to Memory OS
Influence memory schemas and primitives
White-glove technical onboarding
Controls applied to memory ingestion and recall paths
Retention, deletion, and replay enforced at memory layer
Hard boundaries across memory graphs and embeddings
Fabric Mind introduces stateful memory as infrastructure—not a feature.
Join the waitlist for early access to Fabric Mind.