Always-On Agentic AI Memory Layer

A cognitive memory system that encodes, consolidates, decays, and retrieves — just like the human brain.

Transform your AI agents with persistent, hierarchical memory that learns from every interaction.

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Brain-Inspired Memory Architecture

AgentFoundry moves beyond static RAG to provide dynamic, evolving memory that learns from every interaction.

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Hierarchical Multi-Tenant Memory

Three scopes with automatic cross-scope retrieval: Merchant (shared KB), Visitor (personal profile), and Conversation (session context).

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Temporal Fact Tracking

Contradiction detection with version history. Track how facts change over time with valid_from/valid_to timestamps.

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Neural Pathway Reinforcement

Frequently accessed memories resist forgetting. The system strengthens important connections just like the human brain.

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Visitor Consolidation

Automatic cross-conversation profile building that works like sleep consolidation in the human brain.

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Frequency-Aware Decay

Implements Ebbinghaus forgetting curve with pathway strength protection for natural memory management.

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Sub-second Retrieval

Redis-cached reads with MongoDB persistence for lightning-fast memory access at scale.

The Digital Brain Analogy

Prefrontal Cortex → Redis STM: Working memory for active session context

Hippocampus → MongoDB: Episodic memory storing past interactions

Neocortex → Semantic Memory: Structured facts and knowledge

Sleep Consolidation → Visitor Rollup: Automatic memory consolidation across conversations

Forgetting Curve → Decay Engine: Natural memory fading with frequency protection

                        
# Example: Memory lifecycle

New fact ingested: freq=1, conf=0.5, imp=0.8

↓ queried 3 times: freq=4, conf=0.59

↓ queried 5 more: freq=9, conf=0.74

↓ 30 days no access: imp × 0.96 (only 4% loss!)

↓ queried again: saved from decay

How Each Brain Region Maps to AgentFoundry

Prefrontal Cortex

Working Memory

Redis STM with session state, last N turns, auto-TTL

Hippocampus

Episodic Memory

MongoDB memories with vector embeddings for semantic recall

Neocortex

Semantic Memory

Structured facts with frequency tracking and confidence scoring

Sleep Consolidation

Memory Replay

Auto-triggers after every ingest, merges data into profiles

Forgetting Curve

Natural Decay

Importance fades over time, frequency protects strong pathways

Amygdala

Emotional Tagging

Importance scoring (0.0-1.0) for high-impact event persistence

Simple, Transparent Pricing

Start free, scale as you grow. No hidden fees, no surprises.

Free

$0/month

Perfect for prototyping and testing

500,000 Monthly Memory Tokens
10,000 Search Queries
Core Temporal Graph Access
Standard Multi-Modal Extraction
Community Support
Full API & SDK Access

Pro

$35/month

Production-grade agents with perfect recall

5 Million Monthly Memory Tokens
250,000 Search Queries
Advanced Temporal Graph
Multi-Modal Extractors
Sub-200ms Retrieval
Email Developer Support
Fact Invalidation Engine

Scale

$499/month

For scaling teams and high-volume data

100 Million Monthly Memory Tokens
25 Million Search Queries
Automated Business Connectors
Custom Ontology Modeling
Dedicated Account Manager
24/7 Priority Support
Advanced Analytics Dashboard

Need enterprise features? Contact us for custom pricing.