Build
Agents and workflows
Connect anything. Automate everything. Miss nothing.
Your knowledge. Your tools. Your agent.
Click Run flow to see the sample output here.
Local sample run · No external requests or messages are sent.
| Run | ActionFlow | Trigger | Status |
|---|---|---|---|
| #AF-1042 | Customer support | Webhook | Queued |
| #AF-1041 | Research digest | Schedule | Success |
| #AF-1040 | Lead qualification | API | Success |
| #AF-1039 | Content review | Action Agents | Success |
| #AF-1038 | Customer support | Webhook | Success |
Build
Agents and workflows
Connect
Tools and data
Chat
Talk to an agent
Automate
Run the work
Schedule
Start it on time
Monitor
See every run
Your AI team
Build agents for every role, keep them in sync, and stay in charge.
Connect the AI models, APIs, and apps you already use, and turn them into a system that works for you.
Connect providers like OpenAI and Anthropic. Choose a model to read documents, summarize information, or write a response.
Connect MCP servers such as GitHub and Linear alongside the apps you already use, such as Notion and Google Sheets. From that one place, agents and workflows can read what is already there, update the records when something changes, and keep the work moving forward while you stay in charge.
An API lets your workflow exchange data with another service. Fetch customer details, call an internal tool, or send results to your own app.
New request
Your app sends a request through an API.
AI summary
A model extracts the key details.
Google Sheets
Save the summary as a new row.
Slack
Send the summary to your team.
Ground agents in document collections they search at runtime. Search can name the file. A reply does not always show a source box.
Collections
A knowledge base is a set of document collections your organization owns. Agents search only the collections you attach.
Add documents and wait until extraction is ready. Attach the collection to an agent. Search can name the file and the heading path.
Agents answer from your material instead of guessing. A reply does not always show a source box.
Gateways are the doors to your own agents and workflows. Reach them through the API, the TypeScript SDK, hosted MCP, or an inbound webhook.
Call your agents and start flow runs over REST with an organization API key.
Start runs and agent sessions from your code with the TypeScript SDK.
Call your agents and flows as tools from any MCP client. This hosted server is separate from the third-party MCP catalog.
Another system sends an event to an inbound webhook, and a run starts.
Decide what your agents can do, what they can share, and who can change the rules.
Agent message
Prepare an account summary for and attach the latest report.
Redaction
Replace detected emails, phone numbers, and other configured sensitive values in the content your policies screen.
Share the report outside the organization
Approval required
Guardrails
Apply policies to agent input, responses, and tool calls. Block, warn, redact, or require approval when a rule matches.
Customer support
Tools and data
Who can run it
Access control
An agent can use only the tools you grant and the data you attach. Anything you leave off stays out of reach.
You choose which people in the organization can start that agent.
Bring agents and workflows to your organization. Model keys, member roles, and run history stay in one place.
Screen for PII, secrets, prompt injection, and unsafe tool use. Block, redact, warn, or require approval.
Use your own provider credentials and control which models your organization can access.
Organization roles, permissions, two-factor authentication, API keys, and opt-in encrypted agent memory.
Bring APIs, webhooks, OAuth, MCP servers, and custom HTTP tools into your AI workflows.
Durable queues, retries, concurrency controls, run history, and cancellation for dependable execution.
Create a free account, open a template or a blank canvas, and run your first ActionFlow.
New nodes, agents, and product notes. We send mail only when we have something worth opening.