ODAM
Memory for your AI Applications
ODAM adds long-term memory to your AI models. Build assistants that remember user interactions, adapt over time, and provide personalized responses while reducing token costs by up to 90%.
Why choose ODAM?
Transform your AI applications with persistent memory that learns and adapts
Simple Integration
Easy integration via REST API or SDKs. No model retraining required. Works with any LLM provider and existing applications.
Token Economy
Reduce LLM costs by up to 90% through selective context retrieval. Only relevant memories are included in prompts, not entire chat histories.
Personalized Responses
AI remembers user history, preferences, and context. Responses become more relevant and accurate over time, reducing repetitive questions.
Key Features
Graph-Based Memory
Entities and relationships stored in CosmosDB graph structure
Hybrid Search
Combines vector similarity with graph traversal
Multi-Layer Caching
Redis cache with intelligent invalidation
Enterprise Security
Azure security with data encryption
Built for every AI use case
From customer support to personal assistants, ODAM enhances any AI application
Customer Support Bots
Remember customer history, previous issues, and preferences for seamless support experiences.
- Remember customer history
- Reduce repetitive questions
- Personalized support
- Faster resolution times
Personal AI Assistants
Build AI companions that remember personal details, relationships, and life events.
- User preference tracking
- Contextual recommendations
- Learning from interactions
- Personalized experiences
Educational Tutors
Track learning progress, identify knowledge gaps, and adapt teaching styles.
- Track learning progress
- Identify knowledge gaps
- Adaptive learning paths
- Personalized tutoring
Corporate Knowledge Bots
Remember team decisions, project details, and company processes for better productivity.
- Institutional knowledge
- Meeting summaries
- Decision tracking
- Team collaboration
Healthcare AI
Maintain patient history, treatment progress, and medical recommendations securely.
- Patient history tracking
- HIPAA compliance
- Care continuity
- Treatment recommendations
Autonomous Agents
Enable AI agents to learn from past actions and improve decision-making over time.
- Learn from experience
- Avoid past mistakes
- Build knowledge base
- Improve over time
80% Average token savings
Based on average enterprise usage with GPT-4
Calculation: €249 ODAM Pro + €400 reduced LLM costs
Built for Developers, Designed for Scale
Enterprise-grade infrastructure with developer-friendly tools
RESTful API & SDKs
Python SDK on PyPI, JavaScript, and more coming soon
Enterprise Security
SOC 2 compliant, end-to-end encryption
Open Source Core
Self-host or use our managed cloud service
99.9% Uptime SLA
Built on Azure with global CDN
Quick Example
projectOdam.quickExample.codeGet ODAM running in your application in under 5 minutes