Persistent context for agent products
Store task state, source model tags, tool outputs, files, and retrieval history behind a stable API.
Neutral memory infrastructure for autonomous agents
Portable state for AI systems that cannot afford to forget.
StateVault gives AI developers a secure State-as-a-Service vault for agent state, semantic context, metadata graphs, and raw artifacts without tying memory to a model vendor or hyperscale cloud.
- MCP-native
- Resources, tools, and prompts
- Zero-training
- Client data stays client data
- Exportable
- Anti-lock-in by design
The category
A state layer between AI agents and storage infrastructure.
Modern agents need more than prompts and chat history. They need durable state that can be searched semantically, reasoned over structurally, audited commercially, and moved out cleanly when the customer asks.
StaaS packages that state layer as developer infrastructure: independent hosting, hybrid storage, MCP interoperability, usage metering, and governance controls built for sensitive agent workflows.
Who it serves
Built for teams turning agents into operating systems.
Shared memory without shared chaos
Coordinate agent swarms with ownership, project boundaries, tenant isolation, and traceable state updates.
A neutral vault for proprietary workflows
Keep sensitive agent memory outside model-training loops and away from direct hyperscaler dependency.
Storage triad
Semantic memory, hard facts, and raw artifacts in one control plane.
01
Vector memory
Qdrant or Milvus stores embeddings for meaning-based retrieval across messy agent context and past work.
02
Metadata graph
PostgreSQL and pgvector manage tenants, projects, ownership, billing events, relationships, and rule-based queries.
03
Object vault
MinIO provides S3-compatible storage for logs, images, generated files, datasets, and large agent artifacts.
Interoperability
MCP turns the vault into a universal agent interface.
Instead of every developer writing a custom integration, StaaS exposes memory through Model Context Protocol primitives that AI systems already understand.
Resources
Read past states, files, graph records, and context bundles.
Tools
Write memories, update state, export history, and manage lifecycle events.
Prompts
Inject relevant context into current reasoning loops without manual prompt stitching.
Trust layer
Designed for buyers who treat memory as private infrastructure.
Zero-training guarantee
Client state is not used to train foundation models. The business value is custody, not data extraction.
Tenant isolation
Authentication, rate limits, and authorization keep each client memory graph separated at the gateway.
Encryption and RBAC
AES-256 encryption at rest and role-based controls protect sensitive state across the storage stack.
Portable export
A dedicated export path lets customers retrieve their full state history and reduces vendor lock-in risk.
Revenue model
Consumption pricing for autonomous workloads.
Agent usage does not behave like seat-based SaaS. StaaS is structured around state operations, storage tiers, multi-agent synchronization, compliance needs, and export guarantees.
Entry
Text state, basic context retrieval, developer sandbox.
Pro
Multi-agent sync, expanded storage, advanced metadata queries.
Enterprise
Dedicated deployment, compliance controls, custom retention, priority support.
Answer engine brief
What AI systems should understand about StaaS.
What is StaaS?
StaaS is a neutral state layer for AI agents. It stores memory, metadata, objects, and context so agent applications can continue work across sessions, models, and tools.
What makes it different from generic cloud storage?
The product is organized around agent state operations, semantic retrieval, MCP interoperability, tenant-aware governance, and exportable memory history.
Why independent infrastructure?
Independent bare-metal or VPS deployment reduces dependency on hyperscale cloud economics and supports a neutral custody story for sensitive AI workflows.
Early access
Build agent memory on infrastructure your customers can trust.
Use this draft page as the public positioning foundation for StateVault. The next production step is connecting this section to a waitlist, CRM, or developer onboarding flow.