# OpenHelm

> OpenHelm is an operating system for AI agents. Its first template grows and looks after a live product: agents build a keyword plan from Google Keyword Planner data, write and publish posts to the product’s own repository, keep pages indexed through Google Search Console, make the product easy for AI answer engines to cite, map user journeys from GA4 and turn stalls into tasks, fix production bugs reported by Sentry or by customers (verified in production before the issue is resolved), and answer customer email with risky replies held for human approval. Agents run on the user’s own Claude Code or Codex subscription, on a local model such as Gemma through Ollama, or on hosted models billed from plan credits. It is used in the browser at www.app.openhelm.ai or as a macOS app. Made by Maxed Labs Ltd in the UK.

## Product
- [AI SEO agents that plan, write and fix your search](https://www.openhelm.ai/seo): AI SEO that does the work: a keyword plan from Keyword Planner, posts written and published, indexing fixed in Search Console and rankings reported weekly.
- [Autoblogging you would actually publish](https://www.openhelm.ai/autoblogging): Honest autoblogging: posts written against a keyword plan, committed to your repo, checked live, indexed, linked into clusters and refreshed when they stop earning.
- [Generative engine optimization (GEO) and AI visibility](https://www.openhelm.ai/ai-visibility): Generative engine optimization, run by agents: llms.txt, schema and crawler access audited, citable facts written, and AI visibility tracked across answer engines.
- [A customer journey map that updates itself](https://www.openhelm.ai/user-funnels): Agents build a customer journey map from your product and GA4 events, watch each step, and turn the places users get stuck into tasks with the evidence attached.
- [An AI coding agent for production bugs](https://www.openhelm.ai/bug-fixing): An AI coding agent that wakes when Sentry or a customer reports a bug, checks it is real, fixes it, deploys, verifies in production and resolves the issue.
- [AI customer service by email, with you in the loop](https://www.openhelm.ai/customer-support): AI customer service for your product inbox: every email answered from what the product really does, with risky replies held for your approval.

## Platform
- [An agent operating system for recurring work](https://www.openhelm.ai/platform): OpenHelm is an agent operating system: agents, jobs on schedules and triggers, data tables, charts, approvals, memory and templates, in one place.
- [Run agents on your Claude Code subscription, Codex or a local LLM](https://www.openhelm.ai/models): Put your Claude Code subscription or Codex plan to work around the clock, run a local LLM such as Gemma through Ollama, or use hosted models billed from credits.
- [Product growth template: AI for startups with a live product](https://www.openhelm.ai/templates/product-growth): The product growth template gives a live product a full crew of agents for SEO, content, funnels, bug fixing and customer email. AI for startups, set up in minutes.
- [OpenHelm pricing: free to start, then per seat](https://www.openhelm.ai/pricing): OpenHelm pricing: free to start, then per seat with AI credits included. Runs on your own Claude Code or Codex subscription or a local model use no credits.
- [OpenHelm security: sandboxes, scoped credentials and local mode](https://www.openhelm.ai/security): How OpenHelm keeps your code, data and credentials safe: isolated sandboxes, encrypted scoped credentials, organisation-level access control and a fully local mode.
- [OpenHelm for Mac: background agents on your Claude Code plan](https://www.openhelm.ai/local): The OpenHelm desktop app runs agents on your Mac with your own Claude Code or Codex subscription or a local model. Scheduled, self-checking, and local if you want it.
- [OpenHelm integrations: Sentry, GitHub, Search Console and more](https://www.openhelm.ai/integrations): Every tool OpenHelm agents can work in: Sentry, GitHub, Google Search Console, Google Analytics, Vercel, Stripe, Linear, Gmail, Slack and more.
- [OpenHelm changelog](https://www.openhelm.ai/changelog): What shipped in OpenHelm, newest first: new agents, templates, models and platform changes.

## Guides
- [Google Indexing: Fix Pages That Aren't Indexed (2026)](https://www.openhelm.ai/guides/google-indexing): How Google indexing works, what 'crawled' and 'discovered - currently not indexed' mean, and how to fix them with URL Inspection, sitemaps and IndexNow.
- [Schema Markup: A Practical Guide with JSON-LD Examples](https://www.openhelm.ai/guides/schema-markup): What schema markup is, JSON-LD vs Microdata vs RDFa, the types most sites need, what changed for FAQ rich results, and how to test your structured data.
- [E-E-A-T: What Google Means and How to Show It](https://www.openhelm.ai/guides/eeat): What E-E-A-T (EEAT) means in Google's Quality Rater Guidelines, why it is not a direct ranking factor, and how bylines, author pages and schema help show it.
- [Google AI Overviews: How They Work and How to Get Cited](https://www.openhelm.ai/guides/ai-overviews): How Google AI Overviews and AI Mode choose and cite sources, what query fan-out means, what site owners can control, and how to measure it in Search Console.
- [How to Rank in ChatGPT: Get Cited in ChatGPT Search](https://www.openhelm.ai/guides/how-to-rank-in-chatgpt): How to rank in ChatGPT search: let OAI-SearchBot crawl you, get indexed by Bing, earn brand mentions, publish citable facts, and check whether you are cited.
- [llms.txt: What It Is, the Format and an Example](https://www.openhelm.ai/guides/llms-txt): What llms.txt is, how the format works, how it differs from llms-full.txt and robots.txt, which AI tools actually read it, and an example file you can copy.
- [Aha Moment: How to Find Your Product's Activation Point](https://www.openhelm.ai/guides/aha-moment): What an aha moment is, how it relates to activation and time to value, and how to find yours from GA4 or any product analytics event data.
- [Retention Rate: Formula, Examples and Cohort Tables](https://www.openhelm.ai/guides/retention-rate): How to calculate retention rate with a worked example, N-day vs unbounded vs bracket retention, cohort tables, and net revenue retention explained.
- [Churn Rate: Formula, Examples and How to Reduce It](https://www.openhelm.ai/guides/churn-rate): How to calculate churn rate with worked examples, logo vs revenue churn, converting monthly to annual churn, and how cohorts and exit surveys reduce it.
- [Product Market Fit: How to Measure It (and What It Is Not)](https://www.openhelm.ai/guides/product-market-fit): What product market fit means, how to measure it with the Sean Ellis 40% test and retention curves, the signals to watch and the common false positives.
- [North Star Metric: Definition, Examples and How to Choose](https://www.openhelm.ai/guides/north-star-metric): What a north star metric is, how it differs from revenue, how to build an input metrics tree, examples by business model and the pitfalls to avoid.
- [Postmortem Template: A Blameless Format You Can Copy](https://www.openhelm.ai/guides/postmortem-template): A free blameless postmortem template to copy, with guidance on the incident timeline, root cause, five whys and action items, plus a fictional worked example.

## Comparisons
- [OpenHelm vs an SEO agency: cost, output and trade-offs](https://www.openhelm.ai/compare/seo-agency): An SEO agency brings senior judgement, links and PR. OpenHelm runs the weekly SEO work for a per-seat price. An honest look at cost, output and lock-in.
- [OpenHelm vs an SEO freelancer: cost, output and handover](https://www.openhelm.ai/compare/seo-freelancer): A good SEO freelancer brings judgement for audits, migrations and outreach. OpenHelm does the ongoing weekly work. Here's how cost, output and handover compare.
- [OpenHelm vs Linear: product tracker or growth agents?](https://www.openhelm.ai/compare/linear): Linear plans and tracks product development, now with agents and Loops. OpenHelm runs the growth and upkeep of a live product. Many teams will use both.
- [Surfer SEO alternative: OpenHelm vs Surfer compared](https://www.openhelm.ai/compare/surfer): Looking for a Surfer SEO alternative? Surfer has the deeper content editor; OpenHelm writes, publishes, indexes and measures posts for you. An honest look.
- [OpenHelm vs Peec AI: tracking AI visibility or acting on it](https://www.openhelm.ai/compare/peec-ai): Peec AI measures AI search visibility at scale, with share of voice and citation sources. OpenHelm audits and publishes to improve it. Where each one wins.
- [OpenHelm vs Profound: AI visibility for small teams](https://www.openhelm.ai/compare/profound): Profound tracks AI visibility across nine engines for larger brands. OpenHelm gives small teams a published price and agents that act on it. How they compare.
- [OpenHelm vs Sentry Seer: who fixes the bug after the alert?](https://www.openhelm.ai/compare/sentry-seer): Sentry Seer finds root causes inside Sentry and reviews PRs. OpenHelm takes a Sentry issue or a customer's bug email through to a fix verified in production.
- [OpenHelm vs Devin: an AI engineer or a product crew?](https://www.openhelm.ai/compare/devin): Devin is a general AI software engineer for your backlog. OpenHelm keeps a live product growing and fixes reported bugs through to production. How they compare.
- [OpenHelm vs Lindy: AI assistant or product growth crew?](https://www.openhelm.ai/compare/lindy): Lindy is an AI assistant for your inbox, meetings and Slack, with thousands of integrations. OpenHelm runs a crew for a live product. Where each one fits.
- [OpenHelm vs Relevance AI: agent builder or ready crew?](https://www.openhelm.ai/compare/relevance-ai): Relevance AI lets you build agents and workforces with 2,000+ integrations. OpenHelm ships a ready crew for a live product. Pricing, strengths and trade-offs.

## Developers
- [MCP servers and API](https://www.openhelm.ai/mcp): drive OpenHelm from Claude, ChatGPT or Cursor, or over REST
- [API reference](https://www.openhelm.ai/docs/api): the /v1 REST API
- [OpenHelm MCP (General-Purpose)](https://www.openhelm.ai/mcp/general-purpose): Spin up a virtual computer for any custom task, browse, run code, read data, and return structured results.
- [OpenHelm Deep Research MCP](https://www.openhelm.ai/mcp/deep-research): A virtual research environment that reads SEC filings, earnings prints, and live market data, grounded in official sources.
- [OpenHelm SEO & GEO Organic Growth MCP](https://www.openhelm.ai/mcp/seo-geo): A virtual SEO environment: audit rankings, draft content, and measure AI engine citations of your brand.
- [OpenHelm Email Outreach MCP](https://www.openhelm.ai/mcp/email-outreach): A virtual inbox your agent controls, send, monitor replies, and run the whole conversation to completion.
- [OpenHelm Dev Changes MCP](https://www.openhelm.ai/mcp/dev-changes): A virtual coding environment: clone the repo, make the change, run tests, and open a PR.
- [OpenHelm Site & Competitor Monitoring MCP](https://www.openhelm.ai/mcp/site-monitoring): Watch websites, competitors and prices; get evidence-backed diffs and briefs instead of noisy pixel alerts.

## Documentation
- [Getting Started: Installation](https://www.openhelm.ai/docs/installation)
- [Getting Started: Quick Start](https://www.openhelm.ai/docs/quick-start)
- [Getting Started: Requirements](https://www.openhelm.ai/docs/requirements)
- [For Developers: API Quickstart](https://www.openhelm.ai/docs/api-quickstart)
- [For Developers: Authentication & API keys](https://www.openhelm.ai/docs/authentication)
- [For Developers: Runs & the result envelope](https://www.openhelm.ai/docs/runs-and-results)
- [For Developers: Long-running & recurring jobs](https://www.openhelm.ai/docs/long-running-jobs)
- [For Developers: Connections API](https://www.openhelm.ai/docs/connections-api)
- [For Developers: MCP servers](https://www.openhelm.ai/docs/mcp-servers)
- [For Developers: Pricing & credits](https://www.openhelm.ai/docs/pricing-credits)
- [For Developers: Deep research guide](https://www.openhelm.ai/docs/guides/deep-research)
- [For Developers: SEO & GEO guide](https://www.openhelm.ai/docs/guides/seo-geo)
- [For Developers: Email outreach guide](https://www.openhelm.ai/docs/guides/email-outreach)
- [For Developers: Dev changes guide](https://www.openhelm.ai/docs/guides/dev-changes)
- [Core Concepts: Projects & Goals](https://www.openhelm.ai/docs/concepts/projects-and-goals)
- [Core Concepts: Jobs](https://www.openhelm.ai/docs/concepts/jobs)
- [Core Concepts: Runs](https://www.openhelm.ai/docs/concepts/runs)
- [Core Concepts: Licensing](https://www.openhelm.ai/docs/concepts/fair-source)
- [Scheduling: Schedule Types](https://www.openhelm.ai/docs/scheduling/schedule-types)
- [Scheduling: Manual Triggers](https://www.openhelm.ai/docs/scheduling/manual-triggers)
- [Features: AI Planning](https://www.openhelm.ai/docs/features/ai-planning)
- [Features: Self-Correction](https://www.openhelm.ai/docs/features/self-correction)
- [Features: Memory System](https://www.openhelm.ai/docs/features/memory-system)
- [Features: Data Export](https://www.openhelm.ai/docs/features/data-export)
- [Reference: App Settings](https://www.openhelm.ai/docs/reference/settings)
- [Reference: Troubleshooting](https://www.openhelm.ai/docs/reference/troubleshooting)

## Optional
- [Blog](https://www.openhelm.ai/blog): field notes and comparisons
- [llms-full.txt](https://www.openhelm.ai/llms-full.txt): product pages, guides and docs as one markdown file