✦ Visual Agentic Workflow Platform

Build AI agents like connecting dots, not writing glue code.

MyFamilyAssistant.ai is a living canvas where triggers, LLM agents, and outputs snap together into production workflows — compiled to LangGraph and ready to run.

Open the Studio →See how it works
⚡ No infra to manage🔒 Runs in your tenant🧩 40+ integrations
MyFamilyAssistant.ai

Trusted by teams shipping autonomous workflows

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Visual Agent Builder

Compose family assistant workflows on a live canvas

Drag assistants, providers, connectors, notifications, and actions onto the canvas—then click one node and another to wire them together. Build your morning briefing, chore reminders, or meal planner visually.

Click a node to start a connection

Gmail

provider

Google Drive

provider

WhatsApp

provider

Webhook

connector

Assistant Bot

agent

Send Email/Text

action

Slack Alert

notification

◆ Capabilities

Everything you need to ship agents

From the first node to production scale, the platform handles the plumbing so your team stays focused on outcomes.

Living Visual Canvas

Drag, snap, and rewire nodes in real time. The graph is the single source of truth — no YAML, no hidden config.

Composable LLM Agents

Drop in Claude, GPT, or Titan models behind typed agent nodes. Swap models without touching the flow.

One-click Compile

Your canvas compiles straight to a LangGraph state machine — validated topologically before a single token runs.

Real-time Telemetry

Watch each node pulse as it runs. Trace inputs, outputs, and latency per step without leaving the canvas.

Enterprise Security

Cognito-issued JWTs, WAF edge protection, and per-tenant isolation baked into every request.

Elastic Worker Fleet

LangGraph workers auto-scale on ECS Fargate, buffered by FIFO queues so bursts never drop a job.

◆ The Studio

A canvas that runs what it draws

Every node you place is a real, executable step. Connect them, press run, and watch the workflow come alive.

myfamilyassistant.ai/studio
TriggerWebhook · ScheduleLLM AgentClaude · GPT-4oOutputDB · Slack · Email
Run result

Pipeline Completed Successfully. Captured node output: Parsed via Bedrock Claude 3.5: "Q3 summary"

trigger_processedllm_completedpipeline_completed
Latency p50 12ms · Workers 4 · Region us-east-2
◆ How it works

From blank canvas to running agent

Three moves and your workflow is live. No clusters to provision, no orchestration code to maintain.

01

Design on the canvas

Drag a Trigger, wire an LLM Agent, and connect an Output. Every edge is a data hand-off the compiler understands.

02

Connect your tools

Authenticate Vector stores, Slack, databases, and search with per-tenant secrets — pulled at runtime, never hard-coded.

03

Deploy & observe

Hit run and the graph compiles to LangGraph. Watch nodes light up live, then ship it behind the API gateway.

99.99%
Workflow uptime SLA
40+
Native integrations
12ms
Median step latency
5,000+
Agents in production
✦ Get started free

Ship your first agent this afternoon

Spin up the Studio, connect a model, and deploy a workflow in minutes. No credit card to explore the canvas.

Open the Studio →Explore features