ILO
Vektra AI · Agent 01

Hello.I’m ILO.

Your AI Chief of Staff

I live across your inbox and your calendar — I know what you owe, what you’re owed, and what’s worth your attention before you’re in the room. One memory, one context. Every move waits for you.

R&D · Pre-release

First 100 founders get concierge onboarding. We’ll wire your stack with you on the call.

Telegram-readyPer-user memoryAuditable
What I handle

The work that doesn’t scale.

Founders trade their best hours for admin that has nothing to do with the work only they can do. ILO is a chief of staff with a team of skills behind her — not a chatbot, a presence that remembers and follows through.

Your inbox, sorted by 9am

I read what came in overnight, flag the three that need you, and draft the replies in your voice. You wake up to triage, not chaos.

A calendar that holds the line

I book, reschedule, and defend your focus blocks. You walk into every call already briefed — not scrambling.

Every open loop, closed

I track who owes you what. I nudge them on the right day in the right tone. You stop being the bottleneck.

The status update, written

I watch your projects across docs and tools. I surface what slipped before standup and hand you the summary — not the dashboard.

The pre-meeting dossier

I pull the brief before the call. Cited sources, the questions worth asking, the context you'd otherwise be Googling at 8:59.

The errand, done

Drafts the email, files the expense, schedules the demo. I always ask before sending — you sign off, I ship.

Our bet on agents

ILO is our bet on the first AI that earns a seat at the table — not as a tool, but as a team. Open architecture, audited, owned by you.

The difference

Most agents reply. I move.

The chatbots you know are good at answers. I’m built for the part after the answer — the part where someone has to actually do the thing.

Most agents

Answers your question.

ILO

Hands you the answer, the draft, the calendar block.

Most agents

Tells you what to do next.

ILO

Does it. Then asks before it ships.

Most agents

Forgets the conversation.

ILO

Remembers your company, your people, your promises.

At a glance

The agent, in numbers.

Context
200K tokens

Carries weeks of conversation, not minutes

Channels
Web · Telegram · Voice

One memory across every surface

Tool surface
5 connectors at launch

Spotify, Discord, GitHub, Calendar, Telegram

Models
Provider-agnostic

Anthropic, OpenAI, Bedrock, Vertex, local

ConnectionsMCP-native

I plug into what you already use.

ILO speaks the same open protocol Claude and ChatGPT use. Five connectors at launch, more on the way. Every write passes an approval gate. Your tokens stay encrypted with per-user keys — never logged.

Live
Google Calendar
Schedule

Read events, draft holds, surface conflicts.

Coming soon
Telegram
Channel

Where ILO lives by default — message, photo, voice notes.

Coming soon
Spotify
Music

Search, play, queue, build playlists from a vibe.

Coming soon
GitHub
Code

Read repos, file issues, comment on PRs, run actions.

Coming soon
Discord
Channel

Read channels, post updates, run commands across servers.

Live
Google Calendar
Schedule

Read events, draft holds, surface conflicts.

Coming soon
Telegram
Channel

Where ILO lives by default — message, photo, voice notes.

Coming soon
Spotify
Music

Search, play, queue, build playlists from a vibe.

Coming soon
GitHub
Code

Read repos, file issues, comment on PRs, run actions.

Coming soon
Discord
Channel

Read channels, post updates, run commands across servers.

One-click connect

OAuth flow handled in a popup. No URLs, no tokens to paste, no copying client IDs into config files.

Per-tool permissions

Allow / Ask / Deny on every capability. Read-only tools auto-allow; writes stay behind the approval gate.

Approval-gated by default

Every write asks before it ships. Tool calls are logged with args, result, and your decision — so you can audit what I did and why.

Browse the catalog →MCP-native means every connector your team needs — already shipped or one URL away.
Memory + Skills

She remembers. She specializes.

Two layers most general-purpose agents skip. Memory means I walk into every conversation already knowing who you are. Skills mean I run your recurring tasks the way you want them run — without you re-explaining.

Memory

Auto-extracted, user-editable, persistent.

After every turn, I mint memories for what’s worth remembering — your role, preferences, ongoing projects, references. Next turn, the relevant slice folds into my context before I reply. You can read, edit, or forget any memory from Settings.

  • · Five memory types: user, feedback, project, reference, note
  • · Postgres tsvector retrieval — sub-100ms, scales to 10k+ memories per user
  • · Encrypted at rest, RLS-isolated per account
  • · Manual entries supported — "Teach ILO something"
Skills

Markdown playbooks for the work you repeat.

Write a skill once — "Inbox Triage", "Calendar Prep", "Pablo's Voice" — and ILO loads it whenever the task matches. She becomes a domain expert tuned to you, not a generic chatbot waiting for instructions.

  • · Three platform builtins ship by default — Calendar Prep, Voice, Daily Briefing
  • · Auto-matched by trigger keywords + full-text relevance
  • · Pinnable from the composer for forced inclusion next turn
  • · Editable, exportable, owned by you — not locked to one provider
Under the hood

Model card.

Cognitive core
Vektra Lineage Engine
Models live now
Claude Opus 4.7 · Sonnet 4.6 · Haiku 4.5
Provider layer
Pluggable — OpenAI · Grok · Gemini · Ollama next
Memory tier
Auto-extracted · per-user · user-editable
Skills
Markdown playbooks — pinned or auto-matched
Connectors
MCP host + curated catalog (Google Calendar live)
Approvals
Allow / Ask / Deny per tool · approval inbox · undo
Audit
Every action logged with status, args, result, timestamp

ILO is model-agnostic by design. Pick the right tier for the task — Haiku for speed, Sonnet for everyday work, Opus for hard reasoning — and swap providers entirely when the operator experience needs to stay constant.

One agent architecture. Multiple backends. A single memory and control plane.

Memory is persistent and per-user. ILO auto-extracts what matters from each conversation — preferences, ongoing projects, references, corrections — and surfaces the relevant slice on every turn. You can edit or forget any memory from Settings; she catches up next turn.

Skills are reusable playbooks. Calendar prep, your writing voice, daily briefing — write them once and ILO loads them when the task matches. Pin the ones you want forced into the system prompt for the next turn.

Every action emits an audit trail with the decision, args, result, and timestamp. Read-only tools auto-allow. Mutating tools queue for approval. Reversible actions get an Undo. Allow / Ask / Deny per tool — your call, not ours.

Who I am

I work in the background. I stay current.

I’m the first agent from Vektra AI — a private cognitive companion. I listen, remember, reason, and act only on what you authorize. I stay useful in any context where presence and follow-through matter — and out of the way for anything you should decide yourself.

Other agents are built on me. Partners and vertical programs deploy custom personas on the same cognitive core — branded, tuned, scoped — inheriting my audit, routing, and human-in-the-loop guarantees by default.

Auditable end to end. Model-agnostic core. Human-in-the-loop on every action of consequence.

ILO at her interface

In the loop

I carry the queue
while you’re away.

I read what’s come in, draft what’s ready, hold what isn’t. When you return, it’s sorted, attributed, and in order. No surprises, no missed signals.

  • Triage every inbound while you sleep.
  • Drafts staged for one-tap approval.
  • Anything urgent escalates in real time.

How I’m built

One core. Many hands.

A single cognitive core handles memory, reasoning, and routing. Around it sit the layers that do the work — skills, connectors, sub-agents, audit. Each one is replaceable. None of it is locked to a single provider.

Cognitive core

The thinking layer. Memory, reasoning, planning, routing — provider-agnostic, swap models without rewriting the agent.

Skills

Markdown playbooks I load when the task matches. How you want recurring work handled, captured once.

Connectors

MCP-native tool layer. Calendar, Spotify, GitHub, your custom server — every action passes the approval gate.

Audit + control

Every reply, action, and decision logged with prompt, retrieval set, and result. Allow / Ask / Deny per tool.

← scroll to explore →

Why I exist

“Keep humans alive, keep humans strong, keep humans human.”

That’s the Vektra mission. I’m how it shows up in cognition — the part of the harness that listens, answers, and stays awake so you don’t have to.

Read the full mission →

Doors open soon

Your move.

ILO is in active development inside Vektra AI. Drop your email and I’ll come find you when it’s your turn.

Built by Vektra Industries · Vektra AI Division

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