$ /noetic-platformEarly Access
the whole agent lifecycle.one stack.

NOETIC
PLATFORM

The holistic agent platform. Build agents in TypeScript or plain language — then run, observe, prove, improve, and operate them without ever leaving the stack.

Durable sessions in the cloud or on your own machines. Evals against real traces. GEPA-based self-improvement. Connectors, permissions, metering — even billing your own customers, if you want it.

durable sessionsgepa auto-improvement10 chat connectorsbilling — if you want it
lifecycle.log
$ noetic agent create "support triage bot" workflow compiled       llm → branch → tool session started         microvm: warm (218ms) traces captured         14 spans → node graph eval suite passed       9/9 scorers gepa iteration +6.2%    variant promoted usage metered           plan: team
01 / the loop

Everything between prompt and production.

Most stacks cover two or three of these stages and hand you integration homework for the rest. Noetic closes the whole loop — and every stage is optional, so you adopt the next one when you need it, never rewriting to climb. Here is the lifecycle, the way the platform itself would trace it:

$ noetic trace agent-lifecycleworkflow.run — 6 spans
01build@noetic-tools/core

TypeScript primitives or plain language. The same portable workflow document runs in the open-source framework and on the platform. Compose it in code, or describe the agent in a sentence and let the builder draft it — context layers, tools, and all.

02runmicrovm · desktop

Durable sessions on real computers. Every session gets a persistent Linux microVM — or your own desktop as the compute backend. Turns survive disconnects and evictions; the same live session follows you across web, terminal, iPhone, Mac, and ten chat platforms.

03observenoetic.node.id

Traces that know your workflow. Every run captures real spans — each model call and tool call stamped with the workflow node that made it. The trace inspector lights up the exact path your agent took through its own DAG.

04provescorers · training sets

Evals against real traffic. Curate real sessions into training sets, annotate them, and run LLM-judge or code scorers against them like a test suite. Regressions surface before your users find them.

05improvesynthesize → reproduce → optimize

GEPA-based self-improvement. Synthesize reusable workflows from observed episodes, replay them behind a fidelity gate, then iterate prompt variants against held-out data. Your agents get better from their own production history.

06operatevaults · quotas · white-label

Permissions, metering — and billing, if you want it. Orgs and roles, device keys, write-only secret vaults, hard usage caps with honest 402s. Going commercial? White-label the whole thing: your brand, your domains, your plans, your customers metered per seat.

└── traces from this run feed the next improve pass — the loop closes ↩
02 / inside the box

Batteries very much included.

Everything an agent needs to be useful in the real world — the parts you would otherwise spend a quarter wiring together.

Automations
describe → plan → enable

Type what you want in plain language — "every weekday at 9, triage new issues" — and the platform drafts the trigger. Cron schedules and connector events, unified.

Connectors
slack · discord · teams · +7

Agents answer where the conversation happens: Slack, Discord, Teams, Telegram, WhatsApp, Messenger, GitHub, Linear, Google Chat, Twilio. Bring your own app or use ours.

Generative UI
forms · tables · charts · maps

Agents render live interactive UI — not walls of text. One OpenUI document renders natively on web, in the terminal, and in the iOS and macOS apps.

Context layers
editable · server-side

History windows, working memory, plans, steering rules, temporal facts. Live token usage per layer, and you can edit what the agent remembers mid-session.

Projects & environments
apt · repos · env · services

Declare the machine your agents work on: packages, CLIs, private git repos, seeded files, env vars, background services. Provisioned once, warm forever.

Sub-agents
agents calling agents

Any agent can delegate to another as a tool — same session, same workspace, per-run allow-list. Deep Research ships built in.

Local tools SDK
your code, their cloud

Declare a tool in a few lines of TypeScript on any machine you own, and cloud agents can call it — routed to the right machine, results streamed back into the run.

Secrets & permissions
write-only vaults

Org-scoped vaults where values go in but never come back out — resolved just-in-time inside the platform. Orgs, roles, device keys, and an audit log underneath.

White-label
your brand, your plans

Resell agents under your own domains and branding, with per-customer plans, hard limits, and metering. You bill your customers; Noetic meters the usage.

native, not a webview

The whole platform, in your pocket.

Chat, projects, agents, automations, and secrets ship in native iOS and macOS apps — the same live sessions as the web dashboard and the terminal. Describe an automation in a sentence from your phone; the platform drafts the plan.

Noetic iOS navigation — Chat, Projects, Apps, Agents, Automations, Secrets, and recent sessions
every surface
Creating an automation on iOS by describing it in plain language
describe-first automations

Writing software? The platform's flagship agent is Noetic Code — the coding agent in your terminal, on your Mac, and in your pocket.