# The Real Cost of DIY Agent Memory 

> Building agent memory from scratch costs $40K-$120K and 6+ months of engineering time. See the real numbers behind DIY memory systems and when to build vs buy.

_Maximem Team · May 16, 2026_

Developer Guides

# The Real Cost of DIY Agent Memory (And When to Buy Instead)

Your product manager walks into the engineering room with a stack of support tickets. Users are asking the same questions twice. The [AI agent](https://www.maximem.ai/glossary/ai-agent) forgets what it discussed five minutes ago. Someone has written "[agent needs memory](https://www.maximem.ai/blog/why-ai-forgets)" on the whiteboard, circled it twice.

Your engineering lead looks up. "We can build this. Give me two engineers and a quarter."

Three months later, those two engineers are four. The quarter stretches into two. The memory system works beautifully for the demo. Then you hit 500 concurrent users and everything falls apart. Meanwhile, your core product roadmap is six weeks behind, the roadmap your paying customers actually depend on.

This is the DIY memory tax. We have watched it happen at more than a dozen companies. The underestimate is almost universal. Engineering teams assume it is just a database problem. It is not.

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## What You Actually Need to Build

![ChatGPT Image May 16, 2026, 02\_50\_42 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)

Let me walk you through what a minimum viable memory system requires. This is not hypothetical. This is what needs to exist.

**First: a [vector database](https://www.maximem.ai/glossary/vector-database).** You need somewhere to store [embeddings](https://www.maximem.ai/glossary/embeddings) so you can do [semantic search](https://www.maximem.ai/glossary/semantic-search) across old conversations. Pinecone, Qdrant, Weaviate, Milvus. Pick one. The raw cost runs $100 to $1,000 monthly depending on data volume. But then comes the setup. How many dimensions for your embeddings? What is your index size? When do you rebuild it? That configuration work alone eats two weeks of engineering time.

**Second: a graph database.** A vector store by itself is shallow. You need Neo4j, FalkorDB, or Neptune to model relationships between entities. Without this, your agent cannot answer "what did I discuss with the person who manages the account we escalated last week?" Those multi-hop queries require a graph. Most teams discover this weakness after they have already built half a vector-only system and need to rearchitect.

**Third: an embedding pipeline.** The question of which model matters. OpenAI embeddings cost per token. Cohere is cheaper but behaves differently. Open-source models (Jina, E5) run on your infrastructure but require GPUs. Then text [chunking](https://www.maximem.ai/glossary/chunking). How long should chunks be? Do you overlap them? Does overlapping improve retrieval or just add noise? Teams typically spend 4 to 8 weeks tuning chunk size and overlap parameters alone. This is tedious work.

**Fourth: retrieval logic.** It is not just "query the database." You need approximate nearest neighbor search, metadata filtering, [reranking](https://www.maximem.ai/glossary/reranking) for actual relevance, then final context assembly. Four distinct steps. Four sets of tuning parameters. Each one can tank your retrieval quality if misconfigured.

**Fifth: compaction and summarization.** This is where most DIY systems collapse. Old conversations need compression without losing critical context. Naive summarization is dangerous (this matters). Stanford research found that summarization reduces accuracy from 66.7% to 57.1% in a single pass. Naive approaches lose 10 to 40% of important details. Building a compaction system that preserves signal requires careful [prompt engineering](https://www.maximem.ai/glossary/prompt-engineering) and often human review at the start.

**Sixth: orchestration.** Tying it all together. Conversation store management. Memory lifecycle policies. Garbage collection. Cross-agent context sharing if you have multiple agents. This is not a small piece of glue code. This is substantial infrastructure that requires maintenance.

That is 5 to 6 services with distinct SDKs, different authentication methods, incompatible scaling characteristics, and separate failure modes. A single bug in any layer can corrupt your entire memory system. This complexity is why understanding [context windows are not a substitute for memory](https://www.maximem.ai/blog/insights/context-windows-not-memory) is crucial to your decision-making.

* * *

## The Real Numbers

Let me put concrete dollar figures next to this. These numbers come from engineering teams we have spoken with.

**Development costs** (here is what we have observed):

-   Simple agent with short-term memory: $40,000 to $70,000 (roughly one engineer for 1 to 2 months of focused work)
    
-   Advanced autonomous agent with persistent memory: $80,000 to $120,000 (2 engineers over a quarter, including debugging)
    
-   Enterprise-grade multi-agent memory system: $100,000 to $200,000 and beyond (the complexity multiplies)
    

**Infrastructure costs at scale** (this is where most underestimate):

-   A mid-size enterprise running 200,000 queries per month against 100,000 pages of data needs $190,000 in monthly RAG infrastructure costs alone
    
-   Companies trying to extend models with data retrieval often spend $750,000 to $1,000,000 upfront and need 2 to 3 dedicated engineers just to maintain the pipeline
    

**Engineering time** (the hidden multiplier):

-   Minimum of 2 to 3 full-time engineers required
    
-   3 to 6 months before you have something production-grade
    
-   After launch: 20 to 40% of one engineer's time, permanently
    

And then the hidden costs nobody anticipates.

When you upgrade your embedding model (because the new one is better), you need to re-embed all your data. This is a data migration problem. If you have millions of conversations, this becomes painful quickly. We have seen teams spend two weeks on this alone.

Your retrieval strategy will evolve. That means schema migrations. Your old conversation format does not fit your new metadata model. This is not theoretical.

Debugging retrieval quality issues is tedious. The agent keeps surfacing a 6-month-old conversation instead of last week's context. Why? You will spend days investigating, running queries, checking your reranking logic.

In multi-agent systems, context conflicts emerge. Agent A thinks the user agreed to X. Agent B has different context saying they disagreed. Resolving these conflicts without human intervention is harder than most teams assume.

* * *

## When the Economics Actually Flip

This is where we need to be honest. Build versus buy is not an emotional decision.

**Building in-house makes sense if**:

-   Your memory requirements are so specialized that no platform supports them (this is rare)
    
-   You have a dedicated ML infrastructure team with spare capacity already in place
    
-   Scale is low (fewer than 10,000 monthly interactions)
    
-   Memory is genuinely a competitive differentiator that justifies 3 to 6 months of engineering time
    

**Buying a platform makes sense if**:

-   Users interact more than 10 times with the same context (this is the break-even point against context stuffing)
    
-   You process more than 10,000 monthly queries
    
-   Your engineering team is small and every sprint counts toward product
    
-   You need compliance, governance, or audit trails you do not want to build yourself
    
-   Multiple agents need to share context without conflicts
    

The break-even math is straightforward. At approximately 10 interaction turns with 100K tokens of context, a managed memory system becomes cheaper than context stuffing. The cost differential grows as context gets longer. Run this calculation: 100 queries with context stuffing cost you roughly $50 in tokens. Memory retrieval through a managed platform costs $0.13. That is a 384-to-1 ratio. Understanding the broader [agent cost stack](https://www.maximem.ai/blog/guides/agent-cost-stack) helps frame this within your overall infrastructure expenses.

The math is clear. The real question is whether your team should spend time on memory infrastructure or on the product your paying customers actually depend on.

* * *

## The Hybrid Path (Where Most Teams Actually Win)

Build versus buy does not have to be binary. We have seen this work well.

Hybrid approaches deliver results:

-   Use a managed memory platform for the base layer (storage, retrieval, compaction, re-embedding)
    
-   Build custom logic on top for your specific domain and use cases
    
-   Keep the hard infrastructure problems outsourced to specialists
    
-   Keep the domain-specific intelligence and business logic in-house
    

When evaluating any platform, check these specifics:

-   **Latency**: Does retrieval add noticeable delay to your agent's response time (measure in milliseconds)
    
-   **Customization**: Can you define your own memory schemas or are you locked into their model
    
-   **Security**: Zero-trust architecture? Encryption? Audit trails for compliance
    
-   **Cost model**: Per-query, per-token, flat subscription (understand what scales for you)
    
-   **Integration speed**: How quickly can you get a working prototype running
    

Your options include Synap, Mem0, Zep, Letta, or pure in-house development. Each has trade-offs worth understanding. The important thing is making the decision consciously, with actual numbers, rather than defaulting to "we will build it ourselves because we are smart engineers."

* * *

## The Real Cost is Opportunity

The DIY memory tax is not just the engineering cost. It is not just the $40,000 to $120,000 or the 3 to 6 months.

It is the opportunity cost. What your team would have built instead. What features your paying customers would have received. What product problems you could have solved. What bugs you could have fixed. One team we spoke with delayed shipping a critical performance improvement by five months because half the engineering org was tied up in agent memory infrastructure that could have been purchased.

Before committing 2 to 4 engineers for two quarters to memory infrastructure, run the actual numbers. Map out each component. Figure out your actual scale. Calculate what context stuffing costs you per query today. Many teams fall into the trap of assuming one memory architecture fits all use cases. Avoid this by thinking through your specific requirements early.

The answer will likely surprise you.

* * *

**Get started:** [Synap Platform](https://synap.maximem.ai) | [Memory Systems Guide](https://docs.maximem.ai)

**Read the docs:** [Synap Docs](https://docs.maximem.ai) | [Agent Architecture Best Practices](https://docs.maximem.ai/guides)

## Related posts

[What Is Agentic Context Management?](https://www.maximem.ai/blog/what-is-agentic-context-management) May 17, 2026

[Skills Are the New Microservices](https://www.maximem.ai/blog/skills-new-microservices) May 17, 2026

[Why AI Forgets: Why ChatGPT, Claude, and Gemini Don't Remember You Well](https://www.maximem.ai/blog/why-ai-forgets) April 5, 2026

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Source: [https://www.maximem.ai/blog/real-cost-diy-agent-memory](https://www.maximem.ai/blog/real-cost-diy-agent-memory)
