Internal launch-plan anchor
The $50-75K, ~15% per quarter, and 65% buy-not-build figures are planning anchors from the Answer Engine launch plan, not measured product results.
Available now Managed MCP memory pathInspectable source lineageRight-to-erasure workflow
Shipping next Org-shared memory after per-doc ACL
Fig. 2 visible html / no hidden accordion
FIG. 2
Comparison table
The table is the citation surface: concise rows, explicit concessions, and visible cell states. Roadmap-only capabilities render as Blueprint chips instead of available claims.
| Decision point | Answer Engine | Build it yourself |
|---|---|---|
| Upfront cost What does it take to start? | yes Start from the managed MCP memory path instead of staffing a new substrate build. | partial $50-75K upfront before the first team rollout, per the launch-plan anchor. |
| Maintenance What happens after launch? | yes Connectors, inspection, deletion, and pricing controls stay in the product lane. | partial ~15%/quarter maintenance for connectors, indexes, permissions, client changes, and model behavior. |
| Inspectable recall Will the first version include evidence? | yes Source lineage and recall evidence are first-order product surfaces. | partial Internal builds often ship retrieval first and defer the evidence trail. |
| Forgetting Does deletion become a control? | yes Right-to-erasure is part of the product claim set. | partial You own deletion semantics, audit evidence, and every regression after schema changes. |
| When to build When is internal ownership justified? | yes Best when memory is enabling infrastructure for the agent product. | yes Best when memory itself is your product or your controls are too custom for a managed layer. |
Fig. 3 official sources / current as of 2026.06
FIG. 3
Source notes
Competitor claims link to official public sources where possible. Build-vs-buy figures are Answer Engine planning anchors, not measured product results.
Build-vs-buy issue scope
The issue acceptance criteria require the build-vs-buy anchor and the comparison page keeps it labeled as a decision frame.
Fig. 4 cost readout / memory substrate
FIG. 4
Build-vs-buy anchor
The build page makes the operating cost explicit so buyers can compare engineering time against a managed memory layer.
Blueprint readout build-vs-buy
| Signal | Figure | Implication |
|---|---|---|
| Internal build | $50-75K upfront | Design ingest, retrieval, lineage, deletion paths, MCP surfaces, and admin controls before first rollout. |
| Ongoing maintenance | ~15%/quarter | Keep connectors, model behavior, indexes, permissions, and agent clients aligned after launch. |
| Decision pattern | 65% buy not build | Most teams should spend scarce engineering time on the agent product, not the memory substrate. |
Buy the layer when memory is infrastructure, not the product.
Fig. 5 honest concession / no FUD
FIG. 5
Where they win
A credible comparison page states the competitor's best-fit case directly, then narrows the reason to choose Answer Engine.
CONCEDE FIRST Building wins when memory is the product, your regulatory controls require a custom substrate, or your team needs to own every retrieval, deletion, and storage primitive.
Fig. 6 differentiators / source evidence
FIG. 6
Why Answer Engine
The differentiators stay tied to inspectability, forgetting, portability, source breadth, and tenant boundaries.
D.01 Available
The money is visible
The page states $50-75K upfront, ~15% per quarter maintenance, and 65% buy not build instead of hiding the build cost.
D.02 Available
Evidence is not a phase-two afterthought
Answer Engine starts with inspectability and deletion controls instead of asking a team to add them after recall works.
D.03 Available
Build remains valid for substrate companies
The page concedes internal build is right when memory is the product or controls are genuinely unusual.
Fig. 7 FAQPage schema / crawlable answers
FIG. 7
FAQ
These answers are rendered as plain HTML and mirrored into FAQPage JSON-LD for answer engines.
How much does it cost to build agent memory internally?
The launch-plan anchor is $50-75K upfront, plus roughly 15% per quarter to maintain connectors, indexes, permissions, agent clients, and model behavior.
When should we build instead of buy?
Build when memory is your product, when your controls are unusually custom, or when owning every storage and deletion primitive is strategically important.
Why buy Answer Engine?
Buy when agent memory is enabling infrastructure. The team gets an inspectable MCP memory path while engineering time stays focused on the agent product.
FIG. 8 - DECIDE
Choose the memory layer by the evidence you need to inspect.
Start with Answer Engine when the buying motion depends on inspectable recall, deletion controls, source breadth, and tenant separation.
Build anchor: $50-75K upfront
Maintain anchor: ~15%/quarter
Decision anchor: 65% buy not build