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Signed-off-by: Steve Scargall <[email protected]>
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‎.gitignore‎

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# Generated files by hugo
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/public/
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/resources/_gen/
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/assets/jsconfig.json
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hugo_stats.json
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# Executable may be added to repository
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hugo.exe
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hugo.darwin
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hugo.linux
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# Temporary lock file while building
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/.hugo_build.lock

‎archetypes/default.md‎

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date = '{{ .Date }}'
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draft = true
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title = '{{ replace .File.ContentBaseName "-" " " | title }}'
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‎content/en/blog/2025/08/product-launch/featured_image.png‎

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‎content/en/blog/2025/08/product-launch/index.md‎

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---
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title: "Introducing MemMachine: The Missing Memory Layer for Your AI Agents"
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date: 2025-08-26T10:00:00-06:00
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featured_image: "featured_image.png"
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tags: ["Product Launch", "AI", "Memory", "featured"]
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author: "The MemMachine Team"
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description: "Today marks a significant milestone in AI development! We're thrilled to announce the official launch of MemMachine, an open-source, multi-layered memory system designed to empower your AI agents with true intelligence and context."
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---
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We're incredibly excited to pull back the curtain and officially launch **MemMachine**, a project we believe will fundamentally change how developers build and interact with AI agents. Today, we're making MemMachine available to everyone – from individual developers to large enterprises – offering a robust, flexible, and open-source solution for true agent intelligence.
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## **The Challenge: Forgetful Agents**
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If you've built AI agents using frameworks like LangChain or LangGraph, you've likely encountered a common frustration: your agents forget. They struggle with long-term context, personalized interactions, and building upon past conversations. While existing memory solutions offer pieces of the puzzle, a comprehensive, multi-layered system has been elusive... until now.
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## **Enter MemMachine: Memory, Reimagined**
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MemMachine is designed to be the missing memory layer for your AI agents. It provides:
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1. **Short-Term Memory (STM):** For immediate conversational context. Think of it as the agent's working memory, allowing fluid, natural dialogue within a single interaction.
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2. **Long-Term Memory (LTM):** For recalling facts, procedures, and general knowledge over extended periods. This enables agents to learn and retain information across sessions and users.
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3. **Personalization Memory (PM):** This is where MemMachine truly shines. Agents can remember user-specific preferences, interaction history, and unique facts, leading to deeply personalized and intuitive experiences.
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**http://googleusercontent.com/image_generation_content/0
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**
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## **Key Features at a Glance**
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* **Open Source:** Full transparency and flexibility. Deploy it yourself, inspect the code, and contribute to its evolution.
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* **Multi-layered Architecture:** Go beyond basic conversation buffers with dedicated layers for different memory types.
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* **Seamless Integration:** Designed to work with popular agent frameworks like LangChain and LangGraph, enhancing their capabilities without reinvention.
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* **Granular Data Control:** Securely connect to your existing data silos (Notion, Slack, databases, etc.) and precisely control what your agent remembers and forgets.
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* **Scalability & Persistence:** Built for production, ensuring your agents' memories are robust and available when needed.
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## **The Vision: Truly Intelligent AI**
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Our goal with MemMachine is to empower developers to build AI agents that are not just reactive, but truly *intelligent*. Agents that understand context, learn from interactions, adapt to individual users, and retain knowledge like a human. This opens up a new realm of possibilities for customer service, personalized assistants, internal tools, and much more.
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## **Get Started Today!**
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Whether you're an individual developer experimenting with AI or an enterprise looking to deploy sophisticated agents, MemMachine has a plan for you:
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* **Open Source:** Dive into the code, self-host, and build.
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* **Pro:** Managed cloud service for production-ready teams.
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* **Enterprise:** On-premise deployment, custom SLAs, and dedicated support for maximum control and security.
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**Explore the Code:** [View on GitHub](#)
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**Try it Out:** [Explore Our Playground](#)
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**Learn More:** [Check out our Pricing Page](#) or [Contact Sales](#)
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We invite you to join our community, explore the possibilities, and start building the next generation of truly intelligent AI agents with MemMachine.
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**The MemMachine Team**

‎content/en/blog/2025/08/test-post/featured_image.png‎

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‎content/en/blog/2025/08/test-post/index.md‎

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---
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title: "Markdown Test Post: Showcasing All Elements"
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date: 2025-08-20T10:00:00-07:00
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draft: false
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authors: ["Theresa Webb"]
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featured_image: "featured_image.png"
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tags: ["AI", "Sales"]
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categories: ["Technology"]
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---
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## Heading Level 2
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### Heading Level 3
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#### Heading Level 4
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##### Heading Level 5
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###### Heading Level 6
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---
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## Text Formatting
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**Bold text**
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*Italic text*
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***Bold and italic text***
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~~Strikethrough~~
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**Bold _and_ _italic_** mixed
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---
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## Lists
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### Unordered List
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- Item 1
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- Item 2
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- Subitem 2a
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- Subitem 2b
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- Item 3
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### Ordered List
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1. First item
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2. Second item
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1. Subitem 2.1
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2. Subitem 2.2
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3. Third item
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---
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## Blockquotes
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> This is a blockquote.
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>
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> It can span multiple lines.
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---
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## Code Blocks
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### Inline code
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Example: `console.log("Hello, Hugo!");`
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### Fenced code block (Go example)
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```go
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package main
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import "fmt"
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func main() {
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fmt.Println("Hello, Hugo!")
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}
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```
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---
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## Links
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- [Hugo Official Site](https://gohugo.io/)
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- [Markdown Guide](https://www.markdownguide.org/)
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---
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## Images
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![Sample Image](https://i.ytimg.com/vi/aqz-KE-bpKQ/maxresdefault.jpg)
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---
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## YouTube Video Embed
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{{< youtube aqz-KE-bpKQ >}}
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---
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## Tables
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| Feature | Supported | Example |
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|-----------------|-----------|----------------------|
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| Headings | Yes | See above |
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| Lists | Yes | `- Item`, `1. Item` |
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| Images | Yes | See the image above |
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| YouTube Videos | Yes | See above |
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| Code Blocks | Yes | See the Go example |
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---
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## Horizontal Rule
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---
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## Task List (if supported by theme)
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- [x] Completed task
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- [ ] Incomplete task
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---

‎content/en/blog/_index.md‎

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---
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title: "Blog"
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---
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Welcome to the MemMachine blog, your essential resource for building with the next generation of AI memory. Here you'll find product announcements, in-depth technical guides, and news from the forefront of open-source agent development.

‎content/en/community.md‎

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title: "Welcome the Community Building Agent Memory"
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date: 2024-08-21T12:00:00-07:00
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draft: false
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layout: "community"
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---
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Welcome! The MemMachine community is a global group of developers, researchers, and AI enthusiasts dedicated to building the open-source memory layer for the next generation of intelligent agents. We're glad you're here.

‎content/en/contact.md‎

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title: "Contact"
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layout: "contact"
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hero:
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title: "Contact"
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span: "Us"
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---
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Got questions? Reach out! We're here and ready to assist.

‎content/en/conversations.md‎

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title: "Example Conversations"
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date: 2024-08-21T12:00:00-07:00
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draft: false
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layout: "conversations"
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---
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Unlock the Potential of Data-Driven Assistants with Actual Conversations

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