Answers → Insights → Outcomes.
Give your agentic AI the capability to observe, diagnose, and act on live software, skyrocketing your output. There's still time to act before the industry is completely transformed. Don't get left behind. Even when everyone has this ability and the playing field levels, we'll all make wonderful things—but the early adopters win today.
Not logging. Not metrics. Not traces. A standard protocol for closing the runtime visibility gap — turning a black box into actionable AI insight.
Available now for Unity. Now in beta for Unreal Engine.
Memsight is new technology and evolving quickly.
We are continuously researching, gathering input and feedback, developing, testing, innovating, and improving toward more features, better results, and lower effective cost per credit.
class OrderService { maxDiscount = 0.20; retryLimit = 3; async checkout(cart) { total = cart.sum(); total -= applyPromo(code); charge(total); inventory.decrement(cart); } async applyPromo(code) { discount = lookup(code); return min(discount, max); } async charge(amount) { gateway.process(amount); } }
Looks fine. Ships to production.
There is a gap between what code says a program should do and what a running application is actually doing.
Every debugging session. Every “works on my machine.” Every production incident spent correlating logs.
All symptoms of the runtime visibility gap.
Source code is a blueprint.
Memsight lets you walk through the building —
like an fMRI for running software.
There is a gap between what code says a program should do and what a running application is actually doing.
Every debugging session. Every “works on my machine.” Every production incident spent correlating logs. All symptoms of the runtime visibility gap.
Source code is a blueprint. Memsight lets you walk through the building — like an fMRI for running software.
// Thursday 2:47 AM — order #38,291 order.total -$12.40 order.discount 0.43 exceeds max! order.retries 7 limit is 3 inventory.item_441 -2 gateway.status timeout // applyPromo() called twice — // race condition on concurrent // requests. Discount stacks. // inventory.decrement() runs // before charge() confirms. promos[0] SUMMER20 promos[1] SUMMER20
Something is very wrong.
Three concepts. Any runtime. The same pattern works whether you're building games, APIs, or distributed systems.
// Auto-discovered — zero config
private int _health;
private List<Peer> _peers;
// Optional: custom names
[Memsight("hp")]
private int _healthPoints;Zero-config auto-discovery by default. Add attributes when you want custom names.
> services.where(health<50)
.groupBy(region)
> orders.where(status=Stuck)
.avg(ageSeconds)Composable query language. Natural language or structured — your choice.
Trigger: queue_depth > 1000
Agent: querying root cause...
→ Connection pool exhausted
→ Scaling pool from 10 → 25
→ Verified: queue drainingClosed-loop intelligence. Humans and AI, working together.
Every team uses some combination of these strategies to understand what their software is doing at runtime. Some problems persist for weeks — even years — and teams learn to live with what they can't diagnose.
Memsight collapses the time to near zero.
In real-time systems, these strategies carry a hidden cost: they change what you're observing. Debuggers halt execution. Logging alters timing. Profilers add instrumentation overhead. The act of looking can make the problem disappear — or create new ones. Memsight floors this observer effect.
When the runtime visibility gap closes, development itself changes. We call it Memsight-Driven Development.
Write code
↓
Run
↓
Something breaks
↓
Add logging
↓
Run again, read logs, guess
↓
Add more logging...
Observe
Query live state — the system tells you
↓
Understand
No guessing, no log archaeology
↓
Act
Change code or mutate state
↓
Verify
Query again — confirmed
Test-Driven Development changed when you verify — before writing code.
Memsight-Driven Development changes what you verify against — live runtime state, not test fixtures.
MDD addresses problems — emergent behavior, state corruption, timing issues — that TDD structurally cannot reach because they only manifest in the running system.
Memsight gives you unprecedented visibility into live game state—whether you're working solo, alongside AI coding assistants or have given agents free reign.
Ask questions about your running game in plain English. Get instant answers with actionable insights.
Semantic queries over live state replace predefined metrics and dashboards. You don't decide what to measure in advance — annotate once, query anything later.
Cross-service state federation. Invariant-based testing against live systems. Operational knowledge distributed as versioned, rated expertise packs.
Giving your agentic AI this capability will skyrocket your output. But the window of advantage is closing. Soon the playing field will be even—act now to stay ahead.
You ask questions in plain English. Under the hood, Memsight translates to a composable query language that works identically across runtimes. You never need to learn it — but it's there when AI or automation needs it.
“Which objects are low on energy?”
gameObjects .where(behaviour.energy<20) .avg(speed)
“Which actors are hurt, by type?”
actors .where(component.health<50) .groupBy(blueprint)
“Which endpoints are failing?”
endpoints .where(response.status=500) .groupBy(controller)
“Are any connections stale?”
beans .where(connection.idle>30m) .groupBy(pool)
Natural language in, standard protocol underneath. Automatic translation, any runtime.
Runtime intelligence for .NET applications
Runtime intelligence for Java applications
A complete perception-action loop for humans and AI agents. Every component works together.
Composable query language over live object graphs. where, groupBy, avg — more expressive than PromQL, operating on application state instead of raw metrics.
SSE subscriptions to live state. Subscribe to what matters, get notified when conditions change. Continuous monitoring for agents and dashboards alike.
Triggers fire on anomalies. Combined with queries and streaming, this enables closed-loop control — not just alerting, but autonomous diagnosis and response.
Expertise packs encode diagnostic patterns as distributable, versioned, rated knowledge. Institutional wisdom captured and shared across teams and organizations.
Self-describing applications. Query the schema to see everything queryable. Documentation that's always current because the application is the documentation.
Observe state. Monitor changes. Take action. Verify results. A complete perception-action loop for humans and AI agents alike.
Memsight is designed to observe, never to modify running software. Development-only by default, with no runtime surface in production. These aren't features — they're principles informed by the global AI safety conversation, from the Bletchley Declaration to OWASP's Agentic Top 10.
Read our safety philosophyThe query language is defined. The transport is JSON-RPC. We need partners who know their runtimes deeply to guide what comes next.
Learn About PartnershipsTeams using Memsight report dramatic improvements in how quickly they understand what their software is doing.
The runtime visibility gap has been the accepted status quo of software —
the root cause of guessing instead of knowing,
reacting instead of anticipating.
Close the gap with Memsight and turn your black box runtime
into an actionable source of insight.
15,000 trial credits · SDK/package edition applies · No card required