×1 — Orbit
Observe everything.
From orbit, your whole fleet is one glance — every agent, every room, every burn meter. Attention is the only resource you actually spend. Vivari shows you exactly where to spend it.
The AI agent workspace
A brilliant stranger just
joined your team.
Every AI agent is enormous capability with zero knowledge of your world. We give a new human hire context, memory, scoped access, review, an audit trail, and a manager who can take the wheel — and we give agents none of it. Vivari is the management layer for AI agents.
×40 — The floor
Reach in anywhere.
Zoom to the floor and the constellation resolves into rooms of working agents. When Vivari Guard holds a risky change, it shows evidence, not opinions — and everything an agent does is on the record.
×400 — The terminal
Take the wheel.
All the way down is a real terminal — the same agents you already run, in a workspace that remembers, scopes, reviews, and answers to you. This is Vivari, today.
Request early accessThis is Vivari, today
Updated July 2026
What is Vivari?
Vivari is the AI agent workspace: a living, observed environment where fleets of AI agents are put to work and kept accountable at the magnification you choose — engineering agents shipping code, research agents mapping a market, ops agents running the pipeline. It is the management layer for AI agents: context, shared memory, scoped permissions, deterministic safety review, full audit trails, and a human who can always take the wheel.
The idea is old — we just never applied it to agents. Organizations already know how to absorb a brilliant stranger: onboard them, scope their access to their role, review their early work closely, keep records, and keep a senior nearby. Vivari gives your agents exactly that, as one workspace with five composing layers. It runs the agents you already use — Claude Code, Codex, Cursor today — and shipping code is only the first job you'll hire them for:
- The observed workspace — one continuous world: the whole fleet from orbit, one agent's terminal up close, a single zoom between them. Real terminals, not chat transcripts.
- Vaults — living shared memory with retrieval judgment: agents are born knowing your project, write back what they learn — and the vault knows what to surface, when, and at what depth. Preferences are not laws; gates are not suggestions.
- Vivari Guard — a deterministic change-safety engine that reviews risky changes with evidence from your git history. No LLM, no opinions: facts, scores, and a PASS/WARN/BLOCK gate.
- NEXUS — the resident orchestrator that runs the fleet, routes work to the right agent, and hands you the wheel the moment you want it.
- Awareness — the sense layer: agents that know what you're looking at and when to speak, on-device first. Rolling out across the workspace.
The parts everyone else skips
Orchestration is the easy part.
Running many agents is table stakes. Running them accountably is the product.
Guard
Evidence, not opinions.
A deterministic engine reviews risky changes against your own git history — “these two files changed together in 14 of 15 commits” — and gates with PASS/WARN/BLOCK. No LLM in the loop.
Vivari Guard — deterministic change governance Audit
Everything on the record.
Every tool call, every message, every decision — a replayable audit trail, exportable to your SIEM.
The event log — every agent event, timestamped Permissions & archetypes
An ecology, not an org-chart cosplay.
Agents ship as packages: role + instructions + a permission profile scoped to the niche. A reviewer that cannot write; a writer that cannot deploy. No VP titles — specialists.
The permission gate — every risky tool asks first Memory
Retrieval judgment, not a dump.
Shared memory that knows what to surface, when, and at what depth — and separates learned preferences from hard gates, standards, and rules. What one agent learns Tuesday, the right agent knows Wednesday.
The vault map — 181 notes, 940 links shown The cognitive pair
Review at both ends.
One model family drafts, a different one adversarially curates — before work is dispatched — so slop dies upstream. Cross-model on purpose: independent priors, not shared blind spots.
One workspace, two model families — side by side Controls
Attention and money, both metered.
Budgets, burn meters, model routing, kill switches — the fleet spends only what you gave it.
The metrics rail — live burn, per task
Receipts
Questions, answered
- Which AI agents does Vivari work with?
- The harnesses you already use — Claude Code, Codex CLI, and Cursor CLI today, with more runtimes joining. Engineering-first, and the workspace manages any work you hire agents for: code, research, operations, content.
- Is Vivari only for coding agents?
- No. Shipping code is the first job most teams hire agents for, and Vivari Guard is purpose-built for change safety in code — but the workspace manages fleets doing any knowledge work. Code is the flagship case, not the boundary.
- When does Vivari launch?
- Curated early-access cohorts open this fall. Capacity-limited for an operational reason: every workspace gets guided setup and calibration against your real repositories.
- Why should I believe any of this?
- Because we show receipts, not renders. The footage above is the real product, unstaged. At launch, the receipts page goes live: the Vivari fleet sessions behind this site's build, and every deploy risk-scored by Vivari Guard. The manifestoexplains the thesis.
Request early access
Vivari opens in curated cohorts starting this fall. Each cohort is capacity-limited for an operational reason: every workspace gets guided setup and calibration against your real repositories. Invitations go out in order of fit, not order of signup.
One email when your cohort opens — nothing else. Pricing is announced at launch; early cohorts lock in founding terms.