AI Memory for Sales & SDR Agents

Sales AI that remembers every prospect interaction, objection, and follow-up across the entire pipeline.

The challenge

Cold outreach feels cold

AI SDRs send generic messages because they don't remember past interactions or prospect context.

Lost follow-up context

Between calls, the AI forgets what was discussed — objections raised, interests expressed, next steps agreed.

No objection learning

Every objection is handled from scratch. The AI doesn't learn which responses work best for each prospect type.

Pipeline blind spots

Without memory, AI can't track where each prospect is in the journey or what triggered their interest.

How Mengram solves it

Prospect intelligence

Semantic memory stores company info, role, pain points, and interests discovered across interactions.

Full interaction history

Episodic memory records every call, email, and meeting — what was discussed, what resonated, what fell flat.

Objection playbooks

Procedural memory captures winning responses to common objections that improve from successful closes.

Pipeline context

Cognitive Profile generates a briefing for each prospect — full history, next steps, and recommended approach.

Quick implementation

from mengram import Mengram

m = Mengram(api_key="mg-...")

def prep_for_call(prospect_id: str):
    # Get full prospect briefing
    profile = m.profile(user_id=prospect_id)
    # "Prospect is VP Engineering at TechCo (Series B, 50 engineers).
    #  Pain point: context switching between tools.
    #  Last call: interested in the API, asked about pricing.
    #  Objection: concerned about vendor lock-in.
    #  Next step: send case study from similar company."

return profile

def after_call(prospect_id: str, notes: str):
    # Store call outcome for next interaction
    m.add(notes, user_id=prospect_id)
    # "Called prospect. Addressed vendor lock-in concern with MIT license
    #  and self-hosting option. They want a demo next Tuesday."

Results

Response rate

60%

Faster pipeline

Zero

Context loss

Build sales agents with memory

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