Spawn agents. Schedule them. Trigger them.

Your work, handled by agents
that run on your schedule.

WorkTwin is the bridge between the tools your team already uses — Slack, GitHub, Jira, Gmail, Drive. Connect them in minutes; no laptop has to stay awake. Spin up an agent for any recurring task, set a schedule or trigger, and walk away.

Request accessHow it stays secure
On a schedule
Cron-style intervals. Daily digests, hourly sweeps, weekly reports.
On a trigger
A new PR, a Slack mention, an alert firing — the agent picks up.
On demand
Ask in plain language; the agent runs once and reports back.
01

Built for personal agents that run themselves

WorkTwin is a managed product for spawning scheduled and triggered agents on your tools. The space around us is varied; here's a quick orientation so you can decide if we're the right fit.

← You build itManaged product →Vertical / enterprise  ←   →  Horizontal / personal
Agent frameworks
Build it yourself, in code
Foundation model APIs
Raw model APIs & primitives
Workflow orchestrators
Step-by-step automation tools
Self-hosted personal agents
Runs on each user's laptop
Vertical agent SaaS
Procurement · finance · ERP suites
WorkTwin
Managed · horizontal · personal

What we focus on

Spawning long-running agents tied to your tools — scheduled, triggered, or on demand — and learning how you'd handle each one.

What we're honest about

If you need to author multi-agent systems from scratch, run a department's procurement, or self-host on your own metal, other tools serve those well.

Time to first agent

Minutes. Connect a tool via OAuth, describe what you want handled, set a schedule or trigger. The agent does the rest.

02

Security model for agents that run on your tools

When agents act on your behalf — sometimes overnight, sometimes triggered while you're offline — security has to be the boring kind. Here are the six surfaces we pay close attention to.

worktwinOur approach
riskWhat we guard against
Where it runsWho hosts the agent and the model.
Managed by usWe host and run the agents centrally for your organisation. No model hosting, no GPU bills, no ops team to staff — and no laptop needs to stay awake for work to happen.
Tied to a single laptopAgents that live on a personal machine stop the moment it sleeps, drops Wi-Fi, or the employee leaves. Each install is a new attack surface and a new thing for IT to track.
Sandboxing modelWhat runs the agent's tool calls.
Isolated per-user runtimeEach agent runs in an ephemeral, network-isolated container. No filesystem on your machine, no shared local process.
Host accessAgents that run as a process on your laptop have access to the host filesystem and local network — a wide blast radius if anything goes wrong.
Tool permissionsHow the agent gets access to Slack, GitHub, etc.
OAuth, scoped per integrationEach tool grants the minimum scope it needs. Tokens are revocable from the user's tool dashboard.
Over-scoped tokensMany setups grant broad OAuth scopes and read local config files, so a single compromised credential reads more than it should.
Risky-action handlingDeploys, deletes, payments, sensitive data.
Approval queue, by defaultA typed risk classifier escalates before any irreversible action. The queue shrinks as the agent earns trust on each surface.
Silent autonomous actionAgents that "act first" on irreversible operations make recovery hard and erode trust the first time something goes sideways.
Audit loggingWhat the agent did and why.
Tamper-evident, exportableEvery tool call, prompt, and approval is logged with the model's reasoning and confidence — reviewable from the WorkTwin console.
Opaque runsWithout a standard log format, "what did the agent do at 3am?" is unanswerable — and that's the question that matters.
Skill / extension trustThe supply chain for what the agent can do.
First-party, signed integrationsBuilt and maintained by us, signed, version-pinned. Adding a new tool is a config change, not a download.
Unvetted skill marketplacesPublic registries make prompt-injection and data-exfiltration paths easy. Vetting and signing aren't optional for agents that act on your behalf.
03

What's in the box

A foundation model on its own can't run on a schedule, hold OAuth tokens, or coordinate work across an organisation. WorkTwin is the layer that turns a model into agents your whole team can rely on — deployed centrally, not living on someone's laptop.

Schedules and triggers. Cron-style runs, event-driven runs, on-demand runs — with retry, backoff, and dedup so an agent doesn't fire twice for the same event.
Integrations and OAuth. 20+ tools wired up with scoped tokens, schema-aware adapters, and webhook handling — so the agent has hands.
Hosted for your org. Deployed centrally — no laptop has to stay awake, and no GPU bill lands on engineering.
An approval queue you trust. Risk classification, escalation, audit, and the trust loop that shrinks the queue over time.

You

One person, many tools, finite hours.

Layer 04

WorkTwin product layer

Deployed in your organisation. The hosted layer between models and your team.

Layer 03

Schedules & triggers

Cron, event-driven, on-demand. Retry, backoff, dedup.

Integrations & OAuth

20+ tools, scoped tokens, schema-aware adapters, webhook handling.

Approval workflow

Risk model, queue, audit log, trust loop.

Multi-tool orchestration

One reasoning loop across every connected tool.

Foundation models

ClaudeKimiDeepSeekGeminiGLMQwenLlama

Pick per task; we handle the routing.

Primitives
04

Describe the outcome. The agent works out the rest.

A standing agent doesn't need every step mapped in advance. You tell it what good looks like; it figures out the rest from context and learns from your corrections.

Step-by-step automation tools

Map every step yourself.

The traditional way: deterministic triggers and actions. You handle every field and every edge case in advance.

A recipe to triage an inbound bug
When new Slack message in #bugschannel: #bugs
↓
Filter: contains "error" or "crash"match: regex
↓
Create Jira ticket in BUG projecttype: Bug
↓
Assign by mapping tableif(area==web)→Sarah
↓
If P0, page on-callvia: PagerDuty
Setup
~45 min per recipe, x N recipes
Edge cases
You handle them.
WorkTwin · a standing agent

Spawn an agent and walk away.

You describe the outcome. The agent infers the steps from context, runs on the schedule or trigger you set, and asks when it shouldn't guess.

The same job, in one sentence
"Keep an eye on #bugs and turn real reports into properly-assigned Jira tickets. Page on-call for the bad ones."
Inferred from context:
  • "real reports" — filters greetings, jokes, status threads
  • "properly-assigned" — uses CODEOWNERS + recent ticket history
  • "the bad ones" — reads severity from your past P0 patterns
  • Asks before paging anyone the first three times
Setup
One sentence; ~30 seconds
Edge cases
Escalated to your queue, then learned.
05

Where your agents can act

Filled tiles are live OAuth integrations. Dashed tiles are honest gaps — regions and systems we haven't built for yet. Tell us what's missing; we publish a public roadmap.

Communication

Live OAuth integrations

Slack
Teams
Discord
Microsoft 365

Code & CI

Live OAuth integrations

GitHub
GitLab
Azure DevOps
Sentry

Tickets & docs

Live OAuth integrations

Jira
Confluence
Notion
Linear

Observability & data

Live OAuth integrations

Datadog
Elasticsearch
PagerDuty
Zendesk

Regional comms

Not yet — request below

Lark / FeishuJP/CN
MattermostEU
DingTalkCN
LINE WorksJP/KR

Vertical / enterprise systems

Out of scope for personal-productivity tier

SAPERP
Oracle EBSERP
WorkdayHR
NetSuiteFIN
Live todayRoadmap candidatePlus MySQL, Postgres, AWS, GCP, MongoDB, Snowflake, BigQuery, ClickHouse, Vercel, Redis, DigitalOcean…
Missing one? Request an integration →

Build your first agent today.

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