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Agent Memory

Your agents remember everything — so your team doesn't have to

Every conversation, every preference, every decision — captured automatically and recalled instantly. Agents that learn from every interaction and get smarter over time.

How it works

Turn every interaction into lasting knowledge

Memory works invisibly in every agent interaction — no setup, no rules, no maintenance.

1

Agent interacts

Your agent handles tasks — conversations, emails, CRM updates, research. Every interaction generates context.

2

Memory captures

Key information is automatically extracted and structured — preferences, decisions, patterns, outcomes. No manual tagging.

3

Context is recalled

On the next interaction, relevant memory is pulled instantly. The agent picks up right where it left off — no repeated questions.

See it in action

Memory that builds with every conversation

Watch how an agent recalls past context and saves new knowledge — all automatically.

Research Agent

12 memories stored

Session 47
Can you research competitor pricing for our Q1 report?
Saved:Task type: Competitor researchContext: Q1 report prep
Recalled:Preferred format: Board deck slidesPast reports: Q3, Q4 on file
I found pricing for 5 competitors. I've saved the data and comparison table. Want me to format it for the board deck?
Saved:Competitors tracked: 5 companiesPricing data: Saved to knowledge base
Yes, and compare it to the Q4 data you pulled last quarter.
Recalled:Q4 pricing data: Retrieved from Oct 2025Positioning rec: Mid-market focusStakeholder: Prefers visual charts
Done — here's the Q4 vs Q1 comparison. Two competitors raised prices 15-20%. I've flagged this in the report since it affects our positioning recommendation from last month.
Saved:Price changes: 2 competitors +15-20%

Memory tags show what the agent recalled and saved during the conversation — all automatic.

The difference

Agents without memory forget. Agents with memory compound.

Without Memory

Every session starts from zero

Agent asks the same onboarding questions every session

Customer repeats their issue to every new agent handoff

Sales follow-ups start from scratch — no deal context

Research agent re-discovers information it already found

Preferences forgotten — tone, format, priorities reset each time

With Memory

Knowledge compounds over time

Agent picks up exactly where the last session ended

Full customer history recalled instantly — zero repetition

Sales agent references past conversations, objections, and timelines

Research builds on previous findings — compounding knowledge

Preferences persist — tone, format, and priorities always respected

Use cases

See memory in action across your workflows

From support to sales to research — memory transforms how agents handle real work.

Customer Support

A returning customer contacts support about a billing issue.

Without memory

Agent asks for account details, order history, and previous ticket context — customer repeats everything.

With memory

Agent instantly recalls the customer's account, their previous 3 tickets, the open refund from last week, and their preferred communication style.

Account tier: GrowthOpen refund #4821Prefers concise responsesLast contact: 3 days ago

Sales Follow-up

A prospect returns after a demo call two weeks ago to discuss pricing.

Without memory

Agent starts cold — no idea what was discussed, what objections were raised, or which plan was recommended.

With memory

Agent references the demo notes, remembers the prospect's concerns about API limits, and picks up the Growth plan discussion.

Demo: Feb 14, showed API featuresConcern: API rate limitsInterested in Growth planDecision maker: VP of Eng

Research Agent

You ask your research agent to analyze a competitor's latest product launch.

Without memory

Agent searches from scratch, missing context from the competitive analysis it ran last month.

With memory

Agent builds on its previous competitor research, compares the new launch against last month's analysis, and highlights what changed.

Previous report: Jan 283 competitors trackedPricing data on fileMarket share trends saved

Email Outreach

An outreach agent drafts a follow-up email to a warm lead.

Without memory

Agent writes a generic template — wrong tone, no reference to past conversations, no personalization.

With memory

Agent remembers the lead downloaded a whitepaper, attended a webinar, and prefers short, direct emails. The follow-up feels personal.

Downloaded: AI Ops whitepaperAttended Feb webinarTone preference: directIndustry: fintech

Capabilities

Memory that works across your entire stack

Every feature is designed to make your agents more effective with each interaction — automatically.

Automatic context extraction

Agents intelligently identify and store relevant information from every conversation — preferences, decisions, key data points — without any manual setup or tagging.

Cross-conversation recall

Context carries across sessions. Your agent remembers what happened last week, last month, or last quarter and applies that knowledge to every new interaction.

Pattern learning

Agents detect recurring patterns — which responses work, what data users need, how tasks typically flow — and adapt their behavior to deliver better results over time.

Instant retrieval

Relevant memory is surfaced in milliseconds. Agents pull only the context that matters for each interaction — no latency, no information overload.

Shared team memory

Configure memory scope across agents working on the same team or project. Specialized agents collaborate with full shared context, eliminating silos.

Secure and transparent

All memory is encrypted at rest and in transit, isolated per workspace, and never used for training. View, edit, or delete any stored memory at any time.

Frequently Asked Questions

Everything you need to know about Agent Memory.

Included in every plan

Give your agents a memory they'll never lose

Start building agents that remember context, learn from patterns, and deliver better results with every interaction. No setup required.