Event collection you own, version, and trust

From browser to BigQuery and ad platforms - warehouse-native, and ready for AI agents via MCP.

The problem

GA4, custom tags, ad pixels - each one a separate setup, none of them agreeing on the same numbers. When something breaks, you can't see where.

walkerOS is one collection layer for all of them.

Why walkerOS?

• Config-as-code - version control your tracking, review it in PRs, deploy with confidence
• Declarative tagging - tag your UI in HTML, not scattered JavaScript
• Consent-native - events queue until consent is given, then flush correctly to every destination
• Schema validation - catch bad events at collection time, not weeks later in a dashboard
• One layer, many destinations - send to your warehouse and ad platforms from a single event definition
• Warehouse-native - events land clean and structured in your data warehouse, ready to query
• MIT licensed - self-host anywhere, no vendor lock-in

How it works

• Sources: Where events come from (browser, dataLayer, Express, AWS Lambda, GCP Functions, and more)
• Collector: The processing engine (consent, validation, mapping, routing, enrichment)
• Destinations: Where events go (GA4, Google Ads, Meta CAPI, BigQuery, and more)

Two ways to install walkerOS

Choose one based on your workflow and integration possibilities:

Mode	Description	Best For
Integrated	Import directly into your TypeScript application	React/Next.js apps, TypeScript projects
Bundled	Build a standalone script from JSON config with npx walkeros	Static sites, Docker deployments, CI/CD

Integrated (import into your app):

import { startFlow } from '@walkeros/collector';

const { elb } = await startFlow({
  destinations: {
    console: {
      code: {
        type: 'console',
        config: {},
        push: (event) => console.log('Event:', event.name),
      },
    },
  },
});

await elb('page view', { title: 'Home' });
// -> logs: Event: page view

Wire a real source and destination once you are ready:

import { startFlow } from '@walkeros/collector';
import { sourceBrowser } from '@walkeros/web-source-browser';
import { destinationGtag } from '@walkeros/web-destination-gtag';

await startFlow({
  sources: {
    browser: {
      code: sourceBrowser,
      config: { settings: { pageview: true } },
    },
  },
  destinations: {
    ga4: {
      code: destinationGtag,
      config: {
        settings: { ga4: { measurementId: 'G-XXX' } },
      },
    },
  },
});

Bundled (build from JSON config):

{
  "version": 4,
  "flows": {
    "default": {
      "config": {
        "platform": "web",
        "bundle": {
          "packages": {
            "@walkeros/collector": {},
            "@walkeros/web-source-browser": {},
            "@walkeros/web-destination-gtag": {}
          }
        }
      },
      "sources": {
        "browser": {
          "package": "@walkeros/web-source-browser",
          "config": { "settings": { "pageview": true } }
        }
      },
      "destinations": {
        "ga4": {
          "package": "@walkeros/web-destination-gtag",
          "config": {
            "settings": { "ga4": { "measurementId": "G-XXX" } }
          }
        }
      }
    }
  }
}

Then: npx walkeros bundle flow.json

• Operating Modes
• Quickstart guide for React
• Full Documentation - Complete guides and API reference
• Destinations - GA4, Meta, BigQuery, and more
• React Demo
• Storybook

AI-ready via MCP

walkerOS exposes a Model Context Protocol (MCP) interface. AI agents can read your event schema, suggest tracking definitions, and generate integration code - making your event layer programmable, not just configurable.

In Claude Code, one plugin installs both MCP servers and the walkerOS skills:

/plugin marketplace add elbwalker/walkerOS
/plugin install walkeros@elbwalker

For any other MCP client, add the servers to its configuration:

{
  "mcpServers": {
    "walkeros-flow": {
      "command": "npx",
      "args": ["@walkeros/mcp"]
    },
    "walkeros-source-browser": {
      "command": "npx",
      "args": ["@walkeros/mcp-source-browser"]
    }
  }
}

Loading a flow, validating it, and simulating an event all run locally, no account needed. See the MCP docs.

Coming from Google Tag Manager? See walkerOS vs. GTM.

Contributing

⭐️ Help us grow and star us. See our Contributing Guidelines to get involved.

Support

Need help? Start a discussion, or reach out via email.

For more insights, visit the talks repository.

License

Licensed under the MIT License.