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DeltaMemory - Long-Term Context for AI Agents

DeltaMemory - Long-Term Context for AI Agents

Persistent memory for AI agents that actually remembers.

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Updated Jul 2026 · Added Jul 2026
deltamemory.com
Agent FrameworksFreeagent-frameworks
DeltaMemory - Long-Term Context for AI Agents

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What is Deltamemory?

DeltaMemory is a cognitive memory layer for production AI agents that solves the problem of agents forgetting context between interactions. It automatically extracts facts from conversations, builds knowledge graphs, and compresses raw token history by 3,714x while maintaining 89% accuracy. Designed for developers and enterprises deploying AI agents in production, it integrates with popular frameworks like LangChain, CrewAI, and n8n with just a few lines of code.

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Key Features of Deltamemory

  • Persistent recall across agent sessions
  • Automatic fact extraction from conversations
  • Knowledge graph construction
  • 3,714x token compression
  • Temporal reasoning capabilities
  • 50ms p50 query latency
  • Built-in observability and tracing
  • Framework-native integrations (Vercel AI SDK, LangChain, CrewAI, n8n, AutoGen)
  • SOC 2 and HIPAA ready
  • On-premise and cloud deployment options
  • Audit logs and provenance tracking
  • Cryptographic ownership of memory graphs
  • Fine-grained consent controls

Who Should Use Deltamemory?

Medical AI assistants remembering patient history and care preferences

Production AI agent memory across sessions

Enterprise teams shipping AI agents to production

Healthcare systems requiring HIPAA compliance

Deltamemory: Pros & Cons

Pros

  • 3,714x token compression reduces costs by 97% vs raw re-processing
  • 89% accuracy on LoCoMo benchmark
  • Three-line SDK integration
  • No schema design or embedding pipelines required
  • Framework-native integrations with major tools
  • Full observability and debugging capabilities
  • SOC 2 and HIPAA compliance built-in
  • 99.9% uptime SLA for enterprise
  • Flexible deployment (cloud, on-premise, VPC)
  • Complete audit trails and provenance tracking

Frequently Asked Questions about Deltamemory

How does DeltaMemory compress conversations?

It automatically extracts facts from raw conversations and builds knowledge graphs, compressing 26M tokens into 7K tokens through structured fact storage instead of raw re-processing.

What frameworks does DeltaMemory integrate with?

It has first-class integrations with Vercel AI SDK, LangChain, CrewAI, n8n, and AutoGen.

How long does it take to add DeltaMemory to my agents?

You can add memory to any agent in three lines of code by installing the SDK, connecting to your DeltaMemory instance, and calling ingest/recall.

Is DeltaMemory compliant with healthcare regulations?

Yes, DeltaMemory is HIPAA-ready and SOC 2 compliance-ready with encryption at rest and cryptographic ownership of memory graphs.

What deployment options are available?

DeltaMemory can be deployed as a managed cloud service or on-premise in your own VPC with multi-tenant isolation and per-user session management.

Tool Details

Pricing
Free
Added
Jul 2026
Last Updated
Jul 2026

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