DeltaMemory

Product Introduction

1. Definition: DeltaMemory is a cognitive memory layer for production AI agents, operating as a specialized middleware that extracts structured facts, constructs temporal knowledge graphs, and enables persistent contextual recall. Technically, it replaces traditional vector databases and RAG pipelines with a purpose-built system for long-term agent memory.
2. Core Value Proposition: It solves agent session amnesia by enabling AI to retain, reason over, and compound contextual knowledge across interactions. Primary keywords: persistent AI memory, cognitive knowledge graph, long-term agent recall.

Main Features

1. Structured Fact Extraction:

   • How it works: DeltaMemory processes raw conversation logs using NLP pipelines to distill unstructured text into atomic facts (e.g., "user prefers sustainable brands"). These facts are deduplicated, timestamped, and stored in a Rust-native graph database.
   • Technologies: Temporal knowledge graphs with salience scoring, enabling agents to prioritize recent or high-impact memories. Achieves 3,714x token compression (26M tokens → 7K structured entries).

2. Sub-Millisecond Recall Engine:

   • How it works: Queries execute via Rust-optimized graph traversals for multi-hop reasoning (e.g., linking "patient anxiety triggers" across sessions). Delivers 50ms p50 latency—16x faster than alternatives—using concurrent access controls.
   • Technologies: Rust-native storage engine with SSD-optimized indexing. Supports 99.9% uptime SLA and <1ms core operations.

3. Auto-Observability & Compliance:

   • How it works: All memory operations generate audit trails showing fact provenance, salience decay, and recall influence. Fine-grained consent controls enforce cryptographic data ownership.
   • Technologies: SOC 2/HIPAA-ready architecture with encryption-at-rest, per-user session isolation, and VPC/on-prem deployment.

Problems Solved

1. Pain Point: Eliminates costly token reprocessing and agent context reset between sessions—addressing fragmented user experiences and operational inefficiencies.
2. Target Audience:
   • AI Engineers building multi-session agents (e.g., healthcare chatbots, sales assistants).
   • Enterprise DevOps requiring HIPAA/SOC 2 compliance and on-prem deployment.
   • Product Teams in e-commerce/education needing personalized, context-aware AI.
3. Use Cases:
   • Healthcare: HIPAA-compliant patient history recall across therapy sessions.
   • E-commerce: Persistent preference profiles eliminating repetitive user questions.
   • Customer Support: Instant access to past tickets/resolutions during escalations.

Unique Advantages

1. Differentiation: Outperforms vector DBs/RAG with 89% LoCoMo benchmark accuracy (+14% vs. alternatives) and 97% lower costs at scale. Unifies memory, knowledge graphs, and compliance in one layer.
2. Key Innovation: Salience decay algorithms enable "forgetting" low-value data while compounding critical context—unlike hoarder-style memory systems. Rust-native design ensures 2x faster throughput than Mem0.

Frequently Asked Questions (FAQ)

1. How does DeltaMemory reduce AI agent costs by 97%?
   By compressing raw conversations into structured facts/knowledge graphs, it eliminates reprocessing full history—slashing token usage and cloud expenses.

2. Can DeltaMemory integrate with LangChain or AutoGen?
   Yes, it offers first-class SDKs for LangChain, CrewAI, Vercel AI, and AutoGen, enabling drop-in memory augmentation without rewriting agents.

3. Is DeltaMemory compliant for healthcare applications?
   Absolutely. Its architecture embeds HIPAA-ready controls, audit logging, and VPC deployment—validated for patient data security.

4. Why choose DeltaMemory over vector databases?
   Vector DBs lack temporal reasoning and fact extraction. DeltaMemory adds contextual intelligence (e.g., tracking learning progress in education AI) with 50ms recall latency.

5. How does salience decay improve agent performance?
   It automatically deprioritizes outdated/low-impact memories, keeping knowledge graphs lean and responses relevant—critical for long-running sales or support agents.