Private beta — invitations open
Intgr8 is the workspace where you design AI specialists, wire them to real tools and data, orchestrate them as multi-agent workflows, and publish the result as a production API. The same run path from your first prompt to your customer's endpoint.
Copy the answer out. Paste it into the doc, the sheet, the ticket, the deploy. Do it again tomorrow. Intgr8 is built for everything that happens after the answer — the part that has to run on a schedule, survive a refresh, and leave a record.
An operator running a morning brief and a team shipping a customer-facing endpoint execute on the same runtime, against the same audit trail. Nothing gets rebuilt on the way to production.
Reliable help with recurring work — research, writing, analysis, scheduling, content — without building software.
A control plane for agents and workflows, with stable HTTP endpoints, streaming, and the exact execution path the UI uses.
Market intelligence, content pipelines, customer ops and internal automation — fast, shared, and traceable from day one.
Configure agents around your standards — role, voice, boundaries, output format — then delegate to sub-agents when the job gets bigger.
Own models, MCP catalogues, seed datasets, membership and the lifecycle of every published endpoint across the tenant.
Motion graphics, timeline video editing, storyboards and design systems — purpose-built studios inside the same workspace.
Every job below maps to shipped agents, workflows and integrations in the catalogue — not a roadmap.
Wake up to one merged report: AI news, Product Hunt launches, YouTube trends and your saved feeds — curated, deduplicated and written for a human.
Triage email, defend the calendar, run a Telegram channel, and keep a general-purpose assistant on call for whatever else lands.
Tailor a résumé to a specific role, rehearse the interview, pull apart academic papers, and extract structure out of dense PDFs.
Ask a structured question and get an evidence-linked answer grounded in your datasets and feeds — with the full session replay behind it.
Publish a frozen workflow or a single agent. Clients invoke it with a live key, resume multi-turn conversations, and subscribe to the event stream.
Draw the graph once — trigger, research lead, signal finder, decision brief — schedule it weekly, then export the whole thing as a portable bundle.
Storyboard agents, narration scripts, a design system and a timeline editor take a brief through to a rendered motion graphics cut.
Schema work, webhook-triggered automations, dataset-backed analysis, and MCP-connected GitHub and search running inside the same trace.
Shared feeds, second-brain profiles, team datasets and a library of saved outputs — scoped to the workspace, not to one person's laptop.
Eight capability areas, one execution model. Open any of them.
Configure a digital specialist the way you'd brief a person: what it does, how it thinks, what it must never do, and the shape of what it hands back.
Draw the graph, wire the dependencies, schedule it, and let it run in the background while you go and do something else.
Turn any workflow or agent into a stable endpoint with pinned revisions, so the thing your customers call never shifts under them.
Give agents something real to stand on — personal, team or tenant-scoped, with the retrieval path recorded like everything else.
Agents that can only talk aren't much use. These are the hands.
Every run leaves a durable trail — for debugging on Tuesday, for the audit in Q4, and for the invoice either way.
Clear lines between what's yours, what's the team's, and what belongs to the organisation.
Some jobs need a canvas, not a chat box. These live in the same workspace, on the same runtime.
The same path for a solo operator automating a morning and a startup shipping an endpoint to customers.
Start with what good looks like: the job to be done, the standards it has to meet, the knowledge the agent needs, and the decisions that actually matter.
Configure the specialists, connect tools and datasets, add skills, wire sub-agents or a workflow graph, then set the guardrails and the points where a human signs off.
Execute from web or desktop, publish the flow to your API, read every step in the trace, and tighten the system against results you can see.
Control plane on the core, execution on the runner, and one shared agent runtime beneath both — so the UI and your customers' API calls take the identical path.
A published run uses the publishing owner's workspace credentials — the integration key proves who's calling and nothing more. It's never used for model lookup or tool access. Every run writes step snapshots, events and usage to disk, so a session can be reconnected, replayed or audited long after it finished.
| Capability | Operator | Builder | Team |
|---|---|---|---|
| Chat with configured specialists | |||
| Publish as an HTTP API | |||
| Shared team catalogues | |||
| Tool and MCP integrations | |||
| Scheduled and triggered runs | |||
| Creator studios | |||
| Usage and audit trail | |||
| Human-in-the-loop checkpoints |
Built for this audienceAvailable to power users
Intgr8 is in private beta. Tell us what you'd automate first and we'll send an invitation with a workspace seeded for that job.
One email when your invitation is ready. Nothing else.
Private beta
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Intgr8
Deploy and run harness-powered agents
Categories and agents come from the server.
Multi-step harness pipelines you can design, export, and run
Multi-step agent pipelines you can design, export, and run.
Workflows in this category.
Workspace activity, cost, and harness audit trail
Insights
Workspace activity, workspace usage, published API usage, and a timestamped audit trail you can export.
Personal and team tables from the hub API
Browse and import agents, workflows, and MCP servers
Review saved outputs from agents and workflows
Select a file to preview it.
Organize feeds, fetch headlines, and browse them in a card grid
LLM models for agents and workflows
Saving profile…
Writing MCP configuration
Running tool…