Introducing DeltaMemory : Cognitive memory for production AI agents.
Your AI agents forget everything. We fix that.
DeltaMemory is the cognitive memory layer for production AI agents. Persistent recall, automatic fact extraction, and contextual intelligence that compounds over time.
Works with your stack
Performance Metrics
- 89% Accuracy (LoCoMo benchmark)
- 50ms Query latency (p50 retrieval)
- 97% Cost reduction vs raw token re-processing
For Developers
Add memory to any agent in minutes
A single SDK call gives your agents persistent memory with automatic fact extraction, knowledge graphs, and temporal reasoning.
3,714x Token Compression
Raw conversations are compressed into structured facts and a knowledge graph. 26M tokens become 7K. Your agents recall what matters without re-processing history.
Three Lines to Integrate
import { DeltaMemory } from 'deltamemory';
const dm = new DeltaMemory('localhost:6969');
await dm.ingest('user_123', message);
Framework Native
First-class integrations with Vercel AI SDK, LangChain, CrewAI, and n8n. Drop DeltaMemory into your existing agent stack without rewriting your application.
Built-in Observability
Every memory operation is traced. See what facts were extracted, which memories were recalled, and how salience scores change over time. Debug agent behavior with full visibility.
For Enterprise
Built for teams that ship to production
DeltaMemory meets the security, compliance, and deployment requirements of enterprise AI teams. Run it your way, with full control over your data.
- SOC 2 Compliance ready
- Audit-grade security
- 99.9% Uptime SLA
- <1ms Core operations (Rust-powered engine)
Security and Compliance
SOC 2 and HIPAA readiness built into the architecture. Cryptographic ownership of memory graphs with fine-grained consent controls. Your data stays yours.
Deployment Flexibility
Run DeltaMemory as a managed cloud service or deploy on-premise in your own VPC. Multi-tenant isolation with per-user session management and concurrent access controls.
Full Traceability
Every memory operation produces an audit trail. Track what was ingested, what facts were extracted, which memories influenced a response, and when. Complete provenance for regulated industries.
Use Cases
Memory for every industry
Wherever AI agents interact with people repeatedly, DeltaMemory turns those interactions into compounding intelligence.
Healthcare
Patient context that persists: Medical AI assistants that remember patient history, medication interactions, and care preferences across sessions. HIPAA-ready architecture keeps data compliant.
Example: A therapy chatbot recalls that a patient mentioned anxiety triggers three sessions ago, without the patient repeating themselves.
Education
Tutors that know each student: AI tutors that track learning progress, identify knowledge gaps, and adapt teaching style based on accumulated understanding of each student.
Example: An AI tutor remembers a student struggles with quadratic equations and adjusts difficulty automatically in future sessions.
E-commerce
Personalization without cold starts: Shopping assistants that build preference profiles from every interaction. No more asking the same questions. Recommendations improve with every conversation.
Example: A shopping agent knows a customer prefers sustainable brands and size M, surfacing relevant products without being asked.
Customer Support
Agents that never ask twice: Support agents with full customer history. Every past ticket, preference, and resolution is available instantly. Escalations include complete context.
Example: A support agent resolves a billing issue in one interaction because it already knows the customer's plan, past disputes, and preferred resolution.
Sales
Deal intelligence that compounds: Sales AI that tracks prospect interactions, objections, and buying signals across touchpoints. Every follow-up is informed by the full relationship history.
Example: A sales agent recalls that a prospect mentioned budget approval in Q2 and follows up at the right time with the right context.
Performance
Built to outperform
Benchmarked against every major memory layer on the LoCoMo long-term conversation benchmark.
- 89% LoCoMo Accuracy: Highest score on the long-term conversation benchmark
- 50ms p50 Latency: 16x faster than the next closest memory layer
- 87.5% Multi-Hop Reasoning: Complex queries across multiple conversation sessions
- 91% Single-Hop Accuracy: Direct fact retrieval from long-term conversation memory
Compared to other frameworks: +13% over next best open-source, +14% over leading production layer, +22% over most adopted framework, +36% over largest LLM provider.
Blog
From the engineering team
Technical deep dives, benchmark breakdowns, and integration guides.
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Fact Extraction: Teaching Agents to Listen
Raw conversation logs are useless for AI memory. Here is how DeltaMemory extracts structured facts, deduplicates them, and builds a living profile of every user.
How AI Agents Forget (and Why That's a Feature)
Most AI memory systems hoard everything. DeltaMemory's salience decay lets agents forget gracefully, keeping context sharp and responses relevant.Why We Built DeltaMemory in Rust
Sub-millisecond core operations, crash recovery, and a storage engine designed for cognitive workloads. Here is why Rust was the only choice.
Community
Build with us
Our SDKs and integrations are open source. Contribute to the TypeScript SDK, build framework plugins, or join the conversation on Discord.
- Open Source SDKs: Contribute to the TypeScript SDK, report bugs, and submit pull requests.
- Discord: Join the community to ask questions, share use cases, and get help from the team.
- Documentation: API reference, integration guides, and architecture deep dives.
- Design Partners: Work directly with our engineering team to shape the roadmap and get priority support.
Early Access
Give your agents memory that compounds.
DeltaMemory is available to select design partners and enterprise teams. Book a demo to see how persistent, cognitive memory works with your AI agents.