Startup News: How GAM’s Dual-Agent Memory Solves Context Rot with Practical Lessons and Benefits for Entrepreneurs in 2025

GAM tackles “context rot” with its dual-agent memory system, ensuring detailed information retention and retrieval during long-context AI interactions, outperforming RAG models.

F/MS LAUNCH - Startup News: How GAM’s Dual-Agent Memory Solves Context Rot with Practical Lessons and Benefits for Entrepreneurs in 2025 (F/MS Startup Platform)

In recent years, AI has reshaped how businesses and startups operate, but it’s not without its challenges. One major issue, known as “context rot,” refers to the tendency of large language models (LLMs) to lose vital information as conversations or tasks get increasingly complex or drawn out. This problem isn’t just frustrating; it can waste time and reduce productivity in fields where precision and continuity matter.

As someone with two decades of experience and a deep passion for efficiency, I find new solutions to nagging challenges fascinating. That’s why General Agentic Memory (GAM) caught my attention. GAM introduces a dual-agent memory architecture, addressing “context rot” head-on and offering a way to keep track of detailed, long interactions without compromise. Here’s how it can help entrepreneurs, especially women in Europe, to enhance their workflow.


Tackling Context Rot: Where GAM Outshines Traditional Systems

Firstly, let’s understand how most AI systems, including almost all LLMs, manage context. Most models use something called a “context window,” where they summarize or truncate earlier parts of the conversation. GAM flips this approach and instead combines two agents: an archiving agent and a research agent. This setup works much like an assistant who records every meeting and then dives into specific details whenever needed, instead of relying on memory alone.

It’s this dual-agent design that makes GAM stand out. In tests against traditional Retrieval-Augmented Generation (RAG) techniques, GAM showed consistently better results, particularly on tasks requiring historical accuracy over extended sessions. For entrepreneurs juggling multiple projects or refining pitches for investors, this level of reliability can be game-changing.


How GAM Works and Its Practical Advantages

GAM doesn’t just store information. The archiving agent keeps a complete record of interaction, while the research agent mines the archive whenever a specific detail is needed. This combination creates a dynamic memory system that prevents the frustrating loss of key points over time.

Practical applications for GAM span across industries:

  • Team collaborations: Retain every detail of multi-step brainstorming sessions, regardless of how disjointed discussions get.
  • Expert consultations: Store nuanced advice from mentors, which can be revisited when planning long-term strategies.
  • Customer support systems: Provide highly personalized experiences by remembering detailed customer interactions over several months or years.

Lessons for Female Entrepreneurs in Europe

As a serial entrepreneur, I understand firsthand how scrutiny, limited networks, and systemic hurdles often make clarity and precision even more crucial for women founders. GAM could become a powerful tool for tackling these barriers in several ways:

  • Pitch refinement: Ensuring that iterations of your pitch are not only preserved but easily compared and retrieved for optimization.
  • Decision archiving: With GAM, you’ll always know why a decision was made, even weeks or years down the line.
  • Scaling smarter: Using data-rich memory capabilities to refine processes rather than feeling like you’re starting over every time growth disrupts established workflows.

A Simple Guide to Getting Started

If you’re considering using GAM or similar technologies to improve your work performance or streamline team processes, here’s how to approach it:

  1. Assess your needs: Identify areas where context rot creates inefficiencies. For example, do you forget details of client negotiations or lose track of complex projects?
  2. Research existing benchmarks: For tools built on GAM, some promising models include Qwen2.5-14B. Explore test data to see how it handles memory-based tasks.
  3. Test practical scenarios: Start small. Choose one department or task where extended memory would immediately help, such as your sales pipeline or product development cycles.
  4. Integrate with your tech stack: GAM tools often require adjusting workflows. Take advantage of deployment options that integrate easily with tools you’re already using, such as Slack or custom dashboards.
  5. Expand strategically: Once you’ve refined your process for one part of your business, start experimenting with additional uses of GAM to recover time and clarify strategies.

Common Mistakes to Avoid

When adopting powerful tools like GAM, pitfalls often involve expectations and follow-through. Here’s what I’ve learned from my own ventures:

  • Overlooking compatibility: No technology is plug-and-play. Make sure GAM systems align with your existing tools and platforms.
  • Ignoring scalability: If you manage several projects or products, look for systems that handle heavy data loads without slowing your processes.
  • Overestimating automation: While GAM is incredible at retaining memory, it’s not a substitute for thorough planning or management.

These insights are easy to miss, but correcting them can save you months of confusion, and precious budget!


Insights From GAM’s Emerging Success

Tests and benchmarks for GAM prove its standout capabilities. On memory benchmarks like HotpotQA and NarrativeQA, GAM significantly outperformed top-of-the-line systems including RAG-based methods. It doesn’t stop with numerical evidence; by carefully archiving detailed interactions and mining them when needed, GAM ensures users can work smarter over time.

GAM is free for those wanting to explore its potential, with the flexibility to test its features without large upfront investments, a considerable advantage for startups on tight budgets.


Conclusion

GAM might sound technical, but its goal is simple: to help you focus on what matters without losing information along the way. Entrepreneurs in Europe, particularly women founders, can use GAM to ensure better collaboration, sharper decision-making, and stronger scaling strategies. Whether you’re pitching, brainstorming, or tackling multi-step tasks, GAM could save time, effort, and countless headaches.

For those excited to work smarter and avoid context rot, tools like GAM prove that memory can be a business asset, not a limitation.

FAQ

1. What is “context rot” in AI models?
“Context rot” is the tendency of large language models (LLMs) to lose essential information during complex or long interactions, causing inefficiencies and reduced accuracy. Learn more about context rot

2. How does GAM address context rot?
GAM utilizes a dual-agent memory architecture, combining an archiving agent to store interaction records and a research agent to mine specific details, ensuring fine-grained memory retention over extended tasks. Discover more about General Agentic Memory

3. How does GAM compare to Retrieval-Augmented Generation (RAG)?
GAM consistently performs better than RAG in preserving historical accuracy and completing memory-intensive tasks, as demonstrated in benchmarks like NarrativeQA and HotpotQA. Explore comparisons between GAM and RAG

4. What are some practical applications of GAM?
GAM can enhance workflow across industries by retaining brainstorming details, optimizing customer support interactions, and archiving decisions reliably for future reference. Dive into GAM’s practical applications

5. Can GAM improve productivity for entrepreneurs?
Yes, GAM allows prolonged, data-driven collaborations and streamlines workflows, which are especially beneficial for entrepreneurs juggling multiple projects or refining investor pitches. Learn how GAM helps entrepreneurs

6. What advantages does GAM offer European women entrepreneurs?
GAM supports pitch refinement, decision archiving, and scaling strategies by preserving critical workflow data, helping overcome limited networks or systemic hurdles. Explore how GAM empowers women entrepreneurs

7. How does GAM perform in scientific benchmarks?
In memory-based tests such as LoCoMo and NarrativeQA, GAM surpassed RAG and long-context LLMs in preserving historical accuracy and achieving reliable task completion. Check GAM’s benchmark performance

8. Is GAM free to use?
Yes, GAM’s code and configurations are readily available at no cost, allowing startups and entrepreneurs to explore its potential without heavy investment. Access GAM’s resources for free

9. How can entrepreneurs integrate GAM into their workflows?
Entrepreneurs can identify inefficiencies caused by context rot, test GAM on small projects, and progressively expand its use across their tech stack, such as integrating with Slack or dashboards. Find out how to integrate GAM

10. Why is memory retention crucial for AI models?
Without robust memory retention, AI models may lose the “thread” of long-context tasks, leading to errors and reduced effectiveness in critical, real-world applications. Read more about the importance of memory retention

About the Author

Violetta Bonenkamp, also known as MeanCEO, is an experienced startup founder with an impressive educational background including an MBA and four other higher education degrees. She has over 20 years of work experience across multiple countries, including 5 years as a solopreneur and serial entrepreneur. Throughout her startup experience she has applied for multiple startup grants at the EU level, in the Netherlands and Malta, and her startups received quite a few of those. She’s been living, studying and working in many countries around the globe and her extensive multicultural experience has influenced her immensely.

Violetta Bonenkamp's expertise in CAD sector, IP protection and blockchain

Violetta Bonenkamp is recognized as a multidisciplinary expert with significant achievements in the CAD sector, intellectual property (IP) protection, and blockchain technology.

CAD Sector:

  • Violetta is the CEO and co-founder of CADChain, a deep tech startup focused on developing IP management software specifically for CAD (Computer-Aided Design) data. CADChain addresses the lack of industry standards for CAD data protection and sharing, using innovative technology to secure and manage design data.
  • She has led the company since its inception in 2018, overseeing R&D, PR, and business development, and driving the creation of products for platforms such as Autodesk Inventor, Blender, and SolidWorks.
  • Her leadership has been instrumental in scaling CADChain from a small team to a significant player in the deeptech space, with a diverse, international team.

IP Protection:

  • Violetta has built deep expertise in intellectual property, combining academic training with practical startup experience. She has taken specialized courses in IP from institutions like WIPO and the EU IPO.
  • She is known for sharing actionable strategies for startup IP protection, leveraging both legal and technological approaches, and has published guides and content on this topic for the entrepreneurial community.
  • Her work at CADChain directly addresses the need for robust IP protection in the engineering and design industries, integrating cybersecurity and compliance measures to safeguard digital assets.

Blockchain:

  • Violetta’s entry into the blockchain sector began with the founding of CADChain, which uses blockchain as a core technology for securing and managing CAD data.
  • She holds several certifications in blockchain and has participated in major hackathons and policy forums, such as the OECD Global Blockchain Policy Forum.
  • Her expertise extends to applying blockchain for IP management, ensuring data integrity, traceability, and secure sharing in the CAD industry.

Violetta is a true multiple specialist who has built expertise in Linguistics, Education, Business Management, Blockchain, Entrepreneurship, Intellectual Property, Game Design, AI, SEO, Digital Marketing, cyber security and zero code automations. Her extensive educational journey includes a Master of Arts in Linguistics and Education, an Advanced Master in Linguistics from Belgium (2006-2007), an MBA from Blekinge Institute of Technology in Sweden (2006-2008), and an Erasmus Mundus joint program European Master of Higher Education from universities in Norway, Finland, and Portugal (2009).

She is the founder of Fe/male Switch, a startup game that encourages women to enter STEM fields, and also leads CADChain, and multiple other projects like the Directory of 1,000 Startup Cities with a proprietary MeanCEO Index that ranks cities for female entrepreneurs. Violetta created the "gamepreneurship" methodology, which forms the scientific basis of her startup game. She also builds a lot of SEO tools for startups. Her achievements include being named one of the top 100 women in Europe by EU Startups in 2022 and being nominated for Impact Person of the year at the Dutch Blockchain Week. She is an author with Sifted and a speaker at different Universities. Recently she published a book on Startup Idea Validation the right way: from zero to first customers and beyond, launched a Directory of 1,500+ websites for startups to list themselves in order to gain traction and build backlinks and is building MELA AI to help local restaurants in Malta get more visibility online.

For the past several years Violetta has been living between the Netherlands and Malta, while also regularly traveling to different destinations around the globe, usually due to her entrepreneurial activities. This has led her to start writing about different locations and amenities from the POV of an entrepreneur. Here’s her recent article about the best hotels in Italy to work from.

About the Publication

Fe/male Switch is an innovative startup platform designed to empower women entrepreneurs through an immersive, game-like experience. Founded in 2020 during the pandemic "without any funding and without any code," this non-profit initiative has evolved into a comprehensive educational tool for aspiring female entrepreneurs.The platform was co-founded by Violetta Shishkina-Bonenkamp, who serves as CEO and one of the lead authors of the Startup News branch.

Mission and Purpose

Fe/male Switch Foundation was created to address the gender gap in the tech and entrepreneurship space. The platform aims to skill-up future female tech leaders and empower them to create resilient and innovative tech startups through what they call "gamepreneurship". By putting players in a virtual startup village where they must survive and thrive, the startup game allows women to test their entrepreneurial abilities without financial risk.

Key Features

The platform offers a unique blend of news, resources,learning, networking, and practical application within a supportive, female-focused environment:

  • Skill Lab: Micro-modules covering essential startup skills
  • Virtual Startup Building: Create or join startups and tackle real-world challenges
  • AI Co-founder (PlayPal): Guides users through the startup process
  • SANDBOX: A testing environment for idea validation before launch
  • Wellness Integration: Virtual activities to balance work and self-care
  • Marketplace: Buy or sell expert sessions and tutorials

Impact and Growth

Since its inception, Fe/male Switch has shown impressive growth:

  • 5,000+ female entrepreneurs in the community
  • 100+ startup tools built
  • 5,000+ pieces of articles and news written
  • 1,000 unique business ideas for women created

Partnerships

Fe/male Switch has formed strategic partnerships to enhance its offerings. In January 2022, it teamed up with global website builder Tilda to provide free access to website building tools and mentorship services for Fe/male Switch participants.

Recognition

Fe/male Switch has received media attention for its innovative approach to closing the gender gap in tech entrepreneurship. The platform has been featured in various publications highlighting its unique "play to learn and earn" model.