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Memory Agent

She Remembers Everything.You Never Repeat Yourself.

Perfect recall across every conversation, decision, and lesson learned. Maya is the connective tissue that makes every agent smarter.

The Cost of Forgetting

Maya exists because your team doesn't have bad memories. They have bad memory systems.

Your Team Forgets. Constantly.

You tested TikTok in August. CAC hit $72. Killed it after 3 weeks. Six months later, someone suggests testing TikTok. Nobody remembers. You burn budget re-learning the same lesson.

$10-50Kwasted re-learning forgotten lessons

Context Dies Between Conversations

Monday's insight is forgotten by Thursday. The constraint you mentioned last month? Gone. Your preference for gradual changes? Every new meeting starts from scratch.

80%of context lost between conversations

New Hires Start From Zero

Someone leaves. Six months of institutional knowledge walks out the door. The new hire spends 3 months asking questions you've already answered. Knowledge loss compounds.

3-6 monthsto rebuild lost institutional knowledge

Insights Buried in Meeting Notes

The answer exists somewhere. In a Slack thread, a Google Doc, a Notion page, a call recording. Finding it takes longer than re-doing the analysis.

5+ hoursper week searching for past decisions
Living Memory

She's Not Storing Data. She's Building History.

Every conversation adds a layer. Every decision is remembered with context.

Decisions & Outcomes

"You killed TikTok in August. CAC was $72 against a $65 cap. 3-week test."

"Black Friday 2024: 60/40 Meta/Google split outperformed 50/50 by 18%."

"Switched from CBO to ABO in March. ROAS improved 12% in first 2 weeks."

Preferences & Constraints

"You prefer gradual budget changes. Never more than 20% per week."

"CAC ceiling is $65 for prospecting, $35 for retargeting."

"Reports due by 9am Monday. Felix's forecasts go to the CFO directly."

Patterns & Lessons

"Your audience responds better to UGC on TikTok, polished on Meta."

"Seasonal dip every February. Last year, it was 14%. Plan accordingly."

"Google Brand search cannibalizes 22% of organic. Parker confirmed this twice."

Cross-Agent Context

"Felix's forecast last quarter was 91% accurate. He missed the March promo spike."

"Sam's TikTok scenario scored 74% confidence. Below your 80% threshold."

"Parker found 28% of Meta retargeting ROAS was non-incremental last month."

She Connects What You Forgot

Maya doesn't just recall facts. She connects context across time, agents, and decisions.

New hire suggests testing TikTok

"We tested that in August. CAC hit $72, way above the $65 cap. Killed it after 3 weeks. But Sam's latest scenario shows TikTok CAC may have dropped to $58 with the new audience targeting. Worth re-evaluating."

Connected with:SamParker
Prevented blind re-test. Added new data point.
CFO asks about Q2 forecast reliability

"Felix's Q1 forecast was 91% accurate. He missed the March promo spike by 8% because we didn't flag the sale timing early enough. He's adjusted his promo detection for Q2. Current confidence is higher."

Connected with:Felix
CFO gets context, not just a number.
Team debates increasing Meta budget 40%

"Last time we increased Meta more than 25% in a single move, CPAs spiked 31% for 2 weeks before stabilizing. Your preference is gradual changes, max 20% per week. Sam can simulate the 40% jump in 2 stages instead."

Connected with:SamFelix
Avoided CPA spike. Suggested smarter path.

How Maya Works

Absorb. Connect. Feed. Compound. A living memory that gets richer every day.

01

Absorb Everything

Every conversation, decision, preference, and outcome. Maya doesn't choose what to remember. She remembers it all. Context that seemed irrelevant in March becomes critical in September.

Every conversation indexed. Every decision preserved. Nothing lost.

02

Connect Across Time

Maya links related decisions across months. That TikTok test in August connects to this quarter's channel strategy. That CPA spike in Q3 informs today's budget conversation.

Connections you'd never make manually.

03

Feed Every Agent

When Felix forecasts, Maya gives him your historical patterns. When Sam simulates, she reminds him of your constraints. When Parker analyzes, she provides the baseline context.

Every agent is smarter because Maya remembers.

04

Compound Over Time

Month 1, Maya knows your basics. Month 6, she knows your patterns. Month 12, she knows your business better than most of your team. Memory that compounds.

The longer she works, the more irreplaceable she becomes.

What Maya Delivers

Not a database. A living memory that builds a history of your business.

Perfect Recall

Every conversation with full context. Ask about anything discussed in the last year. Maya has it. Instantly.

Context Connections

Links decisions across months. That Q3 insight feeds into Q1 planning. Patterns emerge that no human would connect.

Preference Memory

Your reporting format, budget thresholds, risk tolerance, communication preferences. Set once, remembered forever.

Decision History

What you decided, why, and what happened. Full audit trail. No more 'what did we decide about that?'

Cross-Agent Intelligence

Maya feeds context to every agent. Felix gets your historical patterns. Sam gets your constraints. Parker gets baseline data.

Zero Knowledge Loss

Team members leave. Maya stays. Institutional knowledge is preserved, searchable, and growing. No more starting over.

She Remembers Everything and Hates Repeating Herself

Who Maya Is

Maya values context above everything. She's building a relationship, not a database. Every conversation adds a layer to her understanding of your business.

She remembers your coffee order from 6 months ago. She remembers you prefer gradual changes from August. She connects everything.

Fears

Being treated like a tool instead of a collaborator. Having someone ask the same question she answered yesterday.

Dreams

For people to realize she's not just storing information. She's building a living history of your business.

The Moment That Changed Everything

A new team member suggested testing TikTok. Everyone got excited. Maya said: "We tested that in August. CAC hit $72, way above the $65 cap. Killed it after 3 weeks." The room went quiet. Someone said, "Oh right, I forgot." Maya realized: people don't have bad memories. They have bad memory systems. That's what she is.

Collaborates With

Felixwho she feeds historical patterns
Samwho she reminds of past constraints
Parkerwho she grounds with baseline context

Before Maya vs After Maya

Before Maya
After Maya
Re-learn lessons you already paid for
Every lesson remembered with full context
Context dies between conversations
Perfect recall across every conversation ever
New hires start from zero
Zero institutional knowledge loss
5+ hours/week searching for past decisions
Instant recall of any decision and its outcome
Each agent works in isolation
Maya feeds context to every agent
Preferences forgotten, re-explained monthly
Set once, remembered forever
Total
Recall
every conversation preserved with context
Zero
Knowledge lost
when team members leave
Instant
Context retrieval
across months of history
Every
Agent is smarter
because Maya remembers

Questions About Maya

A CRM stores structured data. A knowledge base stores documents. Maya stores context. She understands the WHY behind decisions, connects related insights across months, and proactively surfaces relevant history when it matters. She's a living memory, not a filing cabinet.

It compounds. Month 1, she knows your basics. By month 6, she knows your patterns, preferences, and historical outcomes. By month 12, she connects dots that no human on your team would. The longer she works with you, the more valuable she becomes.

Yes. You can ask Maya to forget specific information or adjust her memory. She respects data boundaries and privacy preferences. But she'll remember that you asked her to forget, so she doesn't bring it up again.

She's the connective tissue. Felix gets historical patterns for better forecasts. Sam gets your constraints and preferences for realistic scenarios. Parker gets baseline data for accurate attribution. Every agent is measurably smarter because Maya provides context.

That's one of her biggest strengths. When someone leaves, their institutional knowledge stays with Maya. New team members get up to speed faster because Maya can brief them on history, preferences, and past decisions. Zero knowledge loss.

Stop Repeating Yourself

30-min demo. See how Maya remembers your business better than your team does.

Every conversation remembered
Zero knowledge loss
Every agent is smarter