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TRW
Memory Engine

The Memory Layer Behind Durable Agent Context

TRW preserves decisions, patterns, and validated lessons so each session can reload real project context instead of starting cold.

Growth

Project context compounds with every session.

As work continues, the system retains the decisions and lessons future sessions need instead of forcing the same rediscovery loop.

0%

Starting fresh...

1 of 20 memory blocks filled

1
First lesson
2
10 memories
3
Patterns emerge
4
Deep knowledge
5
Wisdom
Day 1
Day 90
Memory Tiers

Fresh context stays quick. Durable context stays reachable.

New lessons remain easy to access, older lessons move into safer tiers, and the whole system stays queryable when the project needs it again.

Hot6 memories
Fix login bug
Update docs
API rate limits
Dark mode CSS
Error handling
Cache strategy
Warm0 memories
empty
Cold0 memories
empty

Everything starts in the fast lane.

Smart Search

Find anything in milliseconds.

Type a query and watch memories surface from every tier — hot, warm, and cold. Results appear in milliseconds.

Hotrecently used, fast access

JWT refresh

Auth

try/catch patterns

Errors

exponential backoff

Resilience

Redis TTL config

Cache

React error fallback

Errors

Warmproven patterns

retry with jitter

Resilience

route-based splitting

Perf

OAuth2 PKCE flow

Auth

stale-while-revalidate

Cache

Sentry integration

Errors

Coldarchived knowledge

dynamic imports

Perf

circuit breaker

Resilience

CDN cache headers

Cache

image lazy load

Perf

API key rotation

Auth

Dual Search

Two retrieval modes. One ranked result set.

Search by keywords or by semantic meaning. The engine blends both so relevant project context rises even when the wording changes.

Consolidation

Notes become reusable guidance.

Scattered observations consolidate into stronger guidance so future sessions inherit useful patterns instead of raw fragments.

Day 1
Day 90

Your AI learns new things each day.

Knowledge Web

Ideas form connections.

Related memories link together. When your AI recalls one thing, connected ideas light up too.

Auth bugJWT gotchaToken fixCORS ruleAPI patternRate limitRetry logicError codesCachingSessions

Hover a node to see its connections.

Smart Cleanup

Duplicate notes stop spreading noise.

When multiple entries say the same thing, they merge into one cleaner, stronger record instead of bloating recall with near-duplicates.

Note A

"Always add CORS headers to auth endpoints"

Note B

"Auth routes need CORS configuration"

Memory Strength

Relevance has a half-life.

Entries fade when they stop helping and strengthen when they keep proving useful, so the memory layer reflects what still matters.

Memory Strength

Without recall, memories fade over time

100%75%50%25%0%NowDay 1Day 3Day 7Day 14Day 30StrongWeak

Click "Recall" to see how using a memory makes it stronger. Hover for exact values.

Dashboard

Project memory health, at a glance.

Inspect search, tiers, scoring, and security in the same local system your sessions rely on.

Search
|

Watch it search or click a term

Storage Tiers
<1ms

Instant. This week's knowledge.

124 entries

Memory Healthclick to cycle
0memories

84.7%

Capacity

Healthy

Status

Memory Score78%
How helpful87
How fresh72
How important90
How often used65
Security

Encrypted at rest

PII detection

Hallucination guard

Audit trail

MCP Toolsset 1/3 — click to cycle
>_
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