Software Alternatives, Accelerators & Startups

OpenMemory VS Orbator

Compare OpenMemory VS Orbator and see what are their differences

OpenMemory logo OpenMemory

Give AI agents long-term memory.

Orbator logo Orbator

See whether ChatGPT, Claude, Gemini, Perplexity & Grok recommend you in your category โ€” and what to do about it. Run a free AI-visibility check.
Not present
  • Orbator Are you recommended in AI search?
    Are you recommended in AI search? //
    2026-08-06

Orbator reveals whether ChatGPT, Claude, Gemini, Perplexity, and Grok recommend your product in your categoryโ€”and delivers actionable insights on how to fix it. Most visibility tools measure SEO rankings; Orbator measures what actually matters now: AI assistant recommendations. Run a free visibility check to see real queries and which sources AI cited. Weekly tracking shows how AI answer recommendations drift 40โ€“60% monthly, so you stay informed of changes. The platform handles directory placements, citation opportunities, and proof-of-placement receipts. Free tier includes the visibility check and a 50+ directory match. Paid tiers range from weekly monitoring ($39/mo) to done-for-you optimization and managed placement fulfillment. Local businesses use it to become the AI answer for their category in their city; SaaS founders track multi-channel AI visibility. No SEO expertise required; Orbator's team manages placement for higher plans. Built on the open-source AI Recommendation Index, tracking 13,779 products across 293 categories weekly.

OpenMemory

Website
github.com
Pricing URL
-
$ Details
-
Platforms
-
Release Date
-

Orbator

Website
orbator.io
$ Details
freemium $39.0 / Monthly ("Visibility","10 tracked prompts","Weekly")
Platforms
Web
Release Date
2026 June
Startup details
Country
United States
State
FL
City
Miami
Founder(s)
Henrik Telle
Employees
1 - 9

OpenMemory features and specs

  • Open Source
    OpenMemory is an open-source project, allowing developers to freely use, modify, and distribute the software according to their needs.
  • Community Support
    Being hosted on GitHub, OpenMemory benefits from a community of contributors who can provide support, improvements, and bug fixes.
  • Free Access
    The project is available for free, lowering the barrier to entry for individuals and organizations looking to incorporate memory management solutions.
  • Transparency
    The open-source nature ensures transparency in how memory is managed, which can help in security reviews and performance optimization.
  • Customizability
    Users and developers can tailor the system to better fit their specific requirements due to the customizable nature of open-source software.

Possible disadvantages of OpenMemory

  • Lack of Official Support
    As an open-source project, there may be no official customer support, making it potentially challenging for users to resolve issues without community help.
  • Variable Quality
    Contributions from multiple sources can lead to inconsistencies in code quality and documentation, which might affect reliability.
  • Potential Security Risks
    Open-source projects can be subject to security vulnerabilities if not regularly monitored and updated by the community.
  • Complexity
    The system might require a level of technical expertise to implement, customize, and maintain, which can be a barrier for less-experienced users.
  • Limited Documentation
    Open source projects sometimes suffer from sparse or outdated documentation, which can hinder user understanding and implementation.

Orbator features and specs

  • AI Visibility Scan
    Runs your buyers questions across ChatGPT, Claude, Gemini, Perplexity and Grok and shows whether each unique recommends you. First scan is Free.
  • Tracked Buyer Prompts
    Neutral "best X for Y" questions tracked per product, never your own name, so results reflect what a stranger is actually told.
  • Weekly Rechecks & Drop Alerts
    Every tracked prompt is re-asked weekly. You're alerted the week an engine drops you from its answers.
  • Competitor Answer Breakdowns
    See who each engine recommends instead of you, and how answers differ engine by engine.
  • Citation Source Map
    The exact sites each engine read before answering, labeled vendor-owned vs independent.
  • Done-For-You-Submissions
    Get listed on the AI-cited sources you're missing from. The chrome extension autofills the forms from your launch kit.

Analysis of OpenMemory

Overall verdict

  • OpenMemory is a solid open-source memory layer for AI applications, offering a self-hostable, privacy-focused way to give LLMs persistent, portable memory across sessions and tools.

Why this product is good

  • Open-source and self-hostable, giving you full control over your data and avoiding vendor lock-in
  • Provides persistent, portable memory that can be shared across different AI apps and LLM clients
  • Privacy-focused design keeps sensitive memory data local rather than sending it to third-party services
  • Integrates with popular protocols like MCP (Model Context Protocol), making it compatible with many AI tools
  • Active community and transparent development typical of open-source projects allow for customization and contributions

Recommended for

  • Developers building AI applications that need long-term or cross-session memory
  • Privacy-conscious users who want to keep AI memory data on their own infrastructure
  • Teams wanting a vendor-neutral, portable memory layer shared across multiple LLM clients
  • Hobbyists and tinkerers comfortable with self-hosting and open-source tooling
  • Projects using MCP-compatible AI assistants that require persistent context

Category Popularity

0-100% (relative to OpenMemory and Orbator)
AI
80 80%
20% 20
AI Visibility
0 0%
100% 100
Productivity
100 100%
0% 0
SaaS
0 0%
100% 100

Questions & Answers

As answered by people managing OpenMemory and Orbator.

What makes your product unique?

Orbator's answer:

Orbator measures whether AI assistants actually recommend your product. When buyers ask ChatGPT, Claude, Gemini, Perplexity or Grok for the best tool in a category, most founders have no idea if they are in the answer.

Orbator:

  • runs the exact questions your buyers ask, across all five engines
  • shows who gets recommended and who gets skipped
  • reveals which sources each engine read before answering
  • gets you listed on the sources AI actually cites

Most tools track Google rankings. Orbator tracks the AI answers where a growing share of buying research now starts.

Why should a person choose your product over its competitors?

Orbator's answer:

Three reasons.

  • Methodology. Orbator only asks neutral buyer questions, never your product name. A forced mention is not a recommendation, so reports show what a stranger would actually be told.
  • Evidence. Full answers are retained and every citation is resolved to its source. Any number in a report can be traced, and the methodology is public.
  • Action. Measurement alone moves nothing. Every scan comes with the fix list, the specific AI-cited sources you are missing from, and Orbator does the submissions for you.

The first scan is free, so the honest pitch is simple: run it and see where you stand before spending anything.

How would you describe the primary audience of your product?

Orbator's answer:

Founders and small software teams who sell to people that research with AI, plus local businesses (restaurants, med spas, dentists, law firms) whose customers ask for the best option near them in a chat window instead of a search box.

The typical user is a founder who just discovered ChatGPT recommends their competitor and wants to know why, and what to do about it.

What's the story behind your product?

Orbator's answer:

Orbator is built by a solo founder who runs both a restaurant and several small software products, so he sits on both sides of the problem. The trigger was watching buyers quietly switch from googling to asking AI assistants, and realizing there was no honest instrument for the obvious question: when someone asks AI for what I sell, am I the answer?

Existing SEO tools measure Google. Orbator was built to measure the answers themselves. It is also self-measuring: Orbator uses its own index to track whether AI recommends Orbator.

Which are the primary technologies used for building your product?

Orbator's answer:

  • Backend: Node.js and Express
  • Frontend: Next.js and React
  • Data: PostgreSQL, including a citation index with full retained answer texts
  • Infrastructure: self-hosted with Docker on European cloud servers
  • AI engines: official APIs of OpenAI, Anthropic, Google, Perplexity and xAI, with web search enabled
  • Submission assistant: Chrome extension (Manifest V3)

User comments

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What are some alternatives?

When comparing OpenMemory and Orbator, you can also consider the following products

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BrandPin.ai - The AI Visibility Measurement & GEO Tracking Platform. See whether ChatGPT, Gemini and Claude name and recommend your brand when buyers ask - Share of Voice, Competitor Gap, every number traceable to a real AI answer.

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