K.AIOSSecure, local AI operating system

Free public alpha

KWNTN

Agents need boundaries before they earn trust.

KWNTN lets normal users step into AI safely and lets workflow builders accelerate real work: files, tools, meetings, and automations stay reviewable, editable, approvable, deniable, and auditable before anything external happens.

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Rough, experimental, feedback-driven. The goal is not an agent that just does the thing. It is an OS for deciding what should happen, what needs a human, and what leaves evidence.

KWNTN Dashboard Local session
Tasks Meeting Evidence

Meeting open

Planning call follow-up Transcript, decisions, and action items attached for review.
QueuedSummarize meeting notesdraft
ReviewConfirm action itemsapproval
ApprovedAttach evidence receiptproof

Boundary moment

Look what it will not do without you.

KWNTN is built for visible, auditable control: the model proposes, the workflow preflights, risky actions stop for permission, and the user approves, edits, or denies before anything external happens.

KWNTN approval required
Green: local draft Yellow: needs review Red: external send

External action paused

Send meeting follow-up?

Workflow Meeting follow-up wants to email a summary, decisions, and next steps to everyone from the call.

To
meeting group
Subject
Follow-up from today's planning call
Evidence
meeting transcript, notes, tasks, recipients
Deny Edit draft Approve send

Why it is different

The cornerstone is governed execution, not a bigger model.

KWNTN turns intent into controlled work: routine paths run programmatically, uncertain paths ask the model, risky paths stop at gates, and every trusted run leaves proof.

Core loop

Classify, route, gate, prove

A small, accurate model helps understand the user, but the operating system decides how work should move: deterministic classifier routes for common requests, workflow code for repeatable actions, approval gates for risk, and evidence receipts for trust.

Token-efficient by design

The goal is to let the routine majority of prompts become programmatic over time, reserving expensive model calls for ambiguity, judgment, synthesis, and language.

Drift and hallucination controls

Actions are constrained by current state, tool contracts, preflight checks, denials, and readback evidence instead of model confidence alone.

World model and meetings

Meetings are not just summaries. They become structured context: decisions, people, files, tasks, follow-ups, and source evidence that future workflows can inspect.

Release map

A safer way to give agents real work starts with proof, limits, and feedback.

The public alpha path proves the trust loop, then expands into connectors, networks, business systems, and the larger KWNTN world.

Alpha release

Workflows, tools, and approvals

  • Files, meetings, tasks, messages, tools, and provider actions can run with explicit authorization and current proof.
  • Connector-by-connector verification expands the safe surface for email, calendars, Drive, chats, browser work, and workflow tools.
  • Risky actions pause for review, edits, approval, or denial before execution.
  • Meeting functionality turns calls, notes, action items, and follow-ups into auditable workflow context.
  • OpenClaw-adjacent agents, Hermes context, local CLIs, browser agents, and existing harnesses can operate behind the same boundary model.
  • Approved runs leave receipts: source references, provider IDs when available, screenshots, outputs, and reviewed state.

Beta release

Identity, contracts, social, and P2P

  • Workflow contracts make shared automations legible: who created them, what permissions they need, what evidence they produce, and who trusts them.
  • The social layer turns contracts into reputation, collaboration, provenance, verification, and reusable proof without giving up user control.
  • Identity and trust layers connect people, agents, workflows, wallets, browser sessions, and verified capabilities.
  • P2P and ETH-compatible wallet/browser flows point toward portable permission, portable proof, and trusted coordination.
  • The social network can expand into a greater mesh network for agents, humans, workflows, contracts, and evidence.

Business, enterprise, ecosystem

Enterprise systems and the KWNTN world

  • Business and enterprise releases need stable contract enforcement, team policy, reporting, hosted options, and stronger admin controls.
  • SOC 2-ready operation means audit logs, role permissions, incident review, retention controls, SSO paths, and evidence exports are part of the product surface.
  • Compute contracts and tokenomics should support proof, contribution, and coordination, not a money-making scheme.
  • The larger open-world concept grows from the mesh: agents, humans, workflows, identity, reputation, compute, and evidence in one aligned OS.

Built for

People who want agents to do real work without giving up the wheel.

Windows power users operating system users n8n and Windmill workflow builders agent harness users self-hosters founder/operators browser automation users safety-minded builders

Agent harness OS

Bring existing agents and CLIs under one approval layer.

OpenClaw-adjacent

Agent and harness users should be able to route real actions through KWNTN approval, evidence, and rollback-aware review.

Hermes context

Context from meetings, files, notes, and task surfaces can become reusable workflow memory instead of scattered chat output.

Existing CLIs

Local models, browser agents, scripts, and command-line tools can run as workers while KWNTN handles boundaries and receipts.

n8n bridge

The n8n bridge belongs in alpha; Windmill and other workflow systems follow the same contract-and-evidence pattern.

Integrations

The Agent OS

Alpha can do

MCP, browser, connectors, and reviewable tools

  • Route files, notes, meetings, tasks, browser work, and MCP-style tool surfaces through reviewable workflows.
  • Connect calendars, email, Drive, chat, website operations, and client workflows where authorization and proof are clear.
  • Pause outbound actions such as email, publishing, uploads, or provider changes for approval.
  • Produce evidence receipts a human can inspect after the run.

Next integrations

Workflow systems, apps, and agent networks

  • The n8n bridge is already part of the alpha path; Windmill and other workflow systems can follow the same bridge pattern.
  • Agent harness packaging can let browser agents, local models, and external CLIs operate as workers inside KWNTN.
  • Future panes surface social proof, P2P coordination, workflow contracts, compute contracts, and the KWNTN mesh layer.

Evidence first

A workflow should leave receipts.

KWNTN records the useful proof around a run: provider IDs when available, source references, logs, screenshots, workflow outputs, reviewed state, and explicit blockers when something cannot be trusted yet.

By Synaptisoft

Built by an AI product lab for trustworthy automation.

Synaptisoft is the company and lab behind KWNTN. The work starts with local-first workflows, approvals, evidence trails, and public alpha feedback before broader source, business, and ecosystem releases.

Visit Synaptisoft

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