The gateway layer between AI agents and the services they need. One natural language interface. Every action.
For 20 years, REST APIs have been the standard interface between services. They work well when a developer reads documentation, writes integration code, handles authentication, manages errors, and maintains the connection over time.
But AI agents don't work that way. They understand intent. They reason about goals. They shouldn't need to parse OpenAPI specs or manage OAuth flows. They need a layer that translates what they want to do into what services expect to receive.
The gateway sits between your AI agent and any external service. It receives natural language intent, resolves it to the correct API call, handles authentication, executes the request, and returns structured results.
// Traditional: 47 lines to send a Slack message and create a Jira ticket import { WebClient } from '@slack/web-api'; import JiraApi from 'jira-client'; const slack = new WebClient(process.env.SLACK_TOKEN); const jira = new JiraApi({ protocol: 'https', host: 'your-domain.atlassian.net', username: process.env.JIRA_USER, password: process.env.JIRA_TOKEN, apiVersion: '2', }); await slack.chat.postMessage({ channel: '#engineering', text: 'Payment service is returning 503 errors', }); await jira.addNewIssue({ fields: { project: { key: 'ENG' }, summary: 'Payment service 503 errors', issuetype: { name: 'Bug' }, priority: { name: 'High' }, } });
// With Open Agent Gateway: 1 call, natural language const gateway = new OpenAgentGateway({ key: process.env.OAG_KEY }); const result = await gateway.execute({ intent: `Alert #engineering on Slack that payment service is returning 503s, then create a high-priority bug ticket in Jira project ENG`, services: ["slack", "jira"], confirm: true }); // result.actions: [ // { service: "slack", action: "postMessage", status: "sent" }, // { service: "jira", action: "createIssue", status: "created", key: "ENG-4521" } // ]
| Dimension | REST API Legacy | Agent Gateway New |
|---|---|---|
| Interface | HTTP methods, JSON payloads, query params | Natural language intent |
| Authentication | Developer manages keys per service | Gateway handles credential injection |
| Error handling | Custom code per provider's error format | Structured error context for agent reasoning |
| Multi-service actions | Orchestration code, saga patterns, rollbacks | Single compound intent, gateway orchestrates |
| Maintenance | Update code when APIs change versions | Gateway adapts; agent intent unchanged |
| Time to integrate | Hours to days per service | Minutes. Connect credentials, describe intent. |
| Who builds it | Developer reads docs, writes code | Agent describes what it needs to do |
Any action your agent needs to take in the real world - from sending a message to provisioning infrastructure - flows through one interface.
Process refunds, create subscriptions, update invoices across Stripe, Square, or any payment provider.
Send emails, post Slack messages, trigger SMS alerts, create support tickets - all from one prompt.
Provision resources, scale services, configure DNS, manage deployments across AWS, GCP, Azure.
Query databases, update dashboards, trigger ETL pipelines, pull reports from any data source.
Create incidents, acknowledge alerts, deploy hotfixes, update status pages through PagerDuty, Datadog, etc.
Update CRM records, schedule meetings, generate documents, manage project boards in Salesforce, Notion, Linear.
Maps natural language to the correct service, endpoint, method, and parameters. Handles ambiguity by asking for clarification when needed.
AES-256 encrypted storage for API keys and OAuth tokens. Automatic refresh cycles. Your agents never see raw credentials.
Define policies per service and action type. Read operations flow freely. Write/delete operations require confirmation. Fully configurable.
Chain multiple service calls in a single intent. The gateway handles ordering, dependency resolution, and rollback on failure.
Every intent-to-action path is recorded. See what your agent asked for, how it was resolved, what was executed, and what was returned.
The gateway is the execution layer, not the reasoning layer. Works with GPT-4, Claude, Gemini, Llama, or any model you choose.
An agent's job is to reason about goals and decide what to do. The mechanics of how to call a service - authentication, serialization, error codes - should be invisible to it. The gateway absorbs that complexity.
Any action that modifies state requires explicit confirmation. The gateway enforces permission boundaries so agents can explore freely without causing damage. Read everything. Write nothing without approval.
Every decision the gateway makes is traceable. From the original intent to the final API call, the full chain is logged and inspectable. You should always know exactly what your agents did and why.
We don't gatekeep which services you can connect. Bring any API with an OpenAPI spec and the gateway can learn to speak it. The protocol is open. The connectors are composable.
The best interface for an AI agent is the one it already speaks. Natural language is more expressive than REST conventions. It captures intent, not just method calls. The gateway translates intent into action.
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