Memory as infrastructure. Layered architecture with reasoning-aware retrieval, built-in forgetting & compression. Make AI agents cheaper, more consistent, and genuinely improving over time.
Complete memory infrastructure that works with any AI agent, regardless of framework or LLM.
Four distinct memory layers: Working, Episodic, Semantic, and Procedural memory.
Agents ask what they need to remember, getting contextually relevant information.
Automatic memory management with intelligent forgetting algorithms and compression.
REST APIs and SDKs that work with any AI framework or LLM.
Completely open-source with permissive MIT license for commercial use.
Scalable architecture designed for enterprise deployment and high availability.
Four distinct memory layers that work together to provide comprehensive memory capabilities.
Short-term, Context-aware
Temporary storage for immediate context and current task information. Automatically cleared when tasks complete.
Event-based, Temporal
Stores experiences and events with temporal context. Enables agents to recall past interactions and experiences.
Knowledge, Concepts
Stores factual knowledge, concepts, and general information. The "encyclopedia" of the agent's knowledge.
Skills, Procedures
Stores learned procedures, skills, and how-to knowledge. Enables agents to perform complex tasks.
Problem:
AI agents without memory repeat computations, wasting resources and increasing costs.
Solution:
Memory infrastructure reduces redundant processing by 95%, making agents dramatically cheaper to run.
Problem:
Agents without memory provide inconsistent responses, forgetting previous interactions and context.
Solution:
Persistent memory ensures consistent behavior and context-aware responses across all interactions.
Problem:
Traditional agents don't learn from experience, repeating the same mistakes.
Solution:
Memory allows agents to learn from past experiences, improving performance over time without retraining.
Problem:
Memory solutions are tightly coupled to specific frameworks, limiting flexibility.
Solution:
Agent-agnostic APIs work with any framework or LLM, providing true infrastructure independence.
Join the open-source revolution in AI memory infrastructure. Make your agents cheaper, more consistent, and genuinely improving over time.
Cloud Option Available: Don't want to self-host? We offer a fully managed cloud version at nominal costs. Contact us for pricing.