Memori - Agent-native memory infrastructure
4.0AI memory infrastructure for agents.
About
Memori is a memory infrastructure built specifically for AI-native applications, designed to give intelligent agents persistent, structured, and retrievable long-term memory. In traditional AI conversations and applications, models often lack effective memory of past interactions, resulting in fragmented user experiences and poor task continuity. Memori solves this by creating a unified memory layer that enables AI agents to "remember" the past, understand context, and continuously learn and grow across multiple interactions. Whether it's a personal assistant, customer service bot, or complex workflow automation system, Memori injects a true "memory soul" into every AI agent.
Key Features
Pricing & Fees
- Pricing: Memori offers an Open Source self-hosted tier (free), a Cloud Free tier at $0 (5,000 memories created / 15,000 recalled), Team at $60K/year from, Business at $150K/year from, and Enterprise at custom pricing via private offer.
- Free tier: The Cloud Free plan is fully managed and hosted, suited for exploration and lightweight workflows; the open-source self-hosted option supports bring-your-own-database (BYODB) with full SDK and MCP server access.
- Plan limits: Free Cloud usage is capped at 5,000 memories created and 15,000 memories recalled; all paid production plans include unlimited memory creation and recall.
- Deployment options by plan: Team is a managed multi-tenant cloud for a single production agent; Business is single-tenant Memori-managed cloud for multiple agents; Enterprise supports customer-VPC or on-premises with dedicated infrastructure.
- Enterprise extras: Enterprise adds advanced evaluation with holdout attribution, custom SLAs, forward-deployed engineering, and optional outcome-based pricing.
Who It's For
Memori is designed for AI application developers who need to add persistent memory capabilities to chatbots, virtual assistants, and similar products to boost user engagement. It also serves automation workflow engineers building multi-step, cross-session agents that must never lose task state, as well as enterprise AI platform teams looking to establish a unified memory service layer supporting multiple internal AI applications. Additionally, researchers and experimenters exploring how memory mechanisms affect agent behavior and long-term learning outcomes will find Memori an invaluable tool for their investigations.