Vector Memory
A persistent second brain. Every conversation, document, and decision is embedded and remembered. Context that compounds instead of resetting every session.
The enterprise brain behind Flotira
VectorBrain is the self-hosted vector-memory engine that powers Flotira: agent orchestration, persistent memory, and complete data ownership, running entirely in your environment.
Self-hosted or VPC · Your data never leaves your cloud · Model-agnostic
Battle-tested in production as the engine behind
Flotira · six AI agents, one persistent memory, thousands of daily tasksThe problem
Chat wrappers demo well and deploy badly. Three failure modes show up in every serious rollout:
Generic AI starts from zero every session. Your teams re-explain context daily, and institutional knowledge never accumulates anywhere.
Every prompt sent to a shared SaaS endpoint is data leaving your perimeter. For regulated teams, that is a non-starter, so adoption stalls.
No audit trail, no access control, no answer when compliance asks "what did the AI do, and who approved it?" Shadow AI fills the gap.
The brain
VectorBrain is not a chatbot with a database bolted on. It is a memory-first, governance-first engine designed for how enterprises actually run.
A persistent second brain. Every conversation, document, and decision is embedded and remembered. Context that compounds instead of resetting every session.
A Director engine that decomposes goals, dispatches specialist agents, and coordinates who does what and when. Outcomes, not chat transcripts.
Run in your VPC, your datacenter, or fully air-gapped. Your prompts, embeddings, and data never leave infrastructure you control.
Claude, GPT, Gemini, or your own fine-tuned models. Route per task, switch any time, and never get locked into a single provider.
Email, calendars, document stores, CRMs, and internal APIs. The brain plugs into the systems your teams already run on.
Role-based access, scoped permissions, and a complete audit trail of every agent action. AI your security team can actually sign off on.
Proof, not promises
Flotira (a fleet of six specialized AI agents with persistent memory, used daily for research, writing, design, code, and automation) runs entirely on VectorBrain. The enterprise edition is that same engine, deployed inside your walls and shaped around how your team works: your tools, your agents, your look.
Free to try on flotira.com. No credit card, no sales call. Sign up and look around.
The fleet & its tools
Memory and orchestration are the engine. The Director turns that into action, running a fleet of five specialists across 21 tools. Studio, CRM, Brand Kit, Canvas, and more, all on your self-hosted brain.
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How it works
Three moves. No rip-and-replace, no data exodus.
Documents, email, wikis, CRMs, internal tools. VectorBrain ingests and embeds it into a governed vector memory, inside your environment.
Persistent memory builds context that compounds: how your business works, what was decided, who owns what. Nothing resets at midnight.
The Director orchestrates specialist agents (research, writing, code, automation) that act with your full history behind them, under your policies.
Built for your security review
Deployment in your VPC or fully air-gapped. SSO and role-based access. Complete audit trails. Data residency on your terms. VectorBrain is designed to pass the review most AI tools fail.
Enterprise & SecurityFAQ
VectorBrain is an enterprise, self-hosted AI engine combining persistent vector memory with multi-agent orchestration. It is the same engine that powers Flotira, packaged to run entirely inside your own infrastructure.
Flotira is the consumer and SMB product built on VectorBrain. VectorBrain is the underlying brain (the memory, orchestration, and integration engine) offered as an enterprise edition for organizations that need self-hosting, governance, and data ownership.
In your environment: your VPC on any major cloud, your own datacenter, or a fully air-gapped network. Your data, prompts, and embeddings never leave infrastructure you control.
VectorBrain is model-agnostic. It routes work across Claude, GPT, and Gemini, and can target your own hosted or fine-tuned models, switchable per task without re-architecting.
See VectorBrain running on your use case: a focused 30-minute walkthrough with an engineer, not a sales deck.