Evidence tier Source Confirmed · 7 captures on record
What the publisher says
As described on Microsoft Marketplace.
Memori is a cutting-edge agent-native memory infrastructure designed to support enterprises in running autonomous AI agents at scale. It addresses the challenges of inflated inference costs and degraded accuracy caused by passing full conversation and execution traces back to large language models (LLMs) during multi-step workflows. By solving these issues at the infrastructure layer, Memori allows engineering teams to focus on enhancing agent capabilities and core business logic without the need to build and maintain a memory system themselves.
Unlike traditional conversational memory wrappers or basic vector-retrieval layers, Memori structures memory from both natural language interactions and agent execution steps, such as tool calls, decisions, and system traces. This transforms chaotic runtime data into a persistent, queryable memory state, enabling agents to recall critical information while eliminating the token overhead of replaying full histories. Memori’s approach ensures durable and efficient memory management for enterprise-grade AI applications.
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Built with enterprise needs in mind, Memori offers features like memory pooling, ReBAC agent access control, full observability, and immutable audit logging. It is LLM-agnostic and seamlessly integrates with existing data infrastructure through partnerships with leading database providers, eliminating the need for new data stores or disruptive changes. Memori can be deployed in various configurations, including fully managed multi-tenant cloud, isolated single-tenant cloud, or within a customer’s VPC or on-premises environment, ensuring scalability and data control.
Since its launch, Memori has powered both internal and external agentic workflows for leading enterprises. With over 16K GitHub stars and 600K downloads, Memori has established itself as a leader in memory and context management within the emerging AI infrastructure landscape, as recognized by Bessemer Venture Partners.
Preview
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Agent build and provenance
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The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Plans and pricing as listed
1 listed- Enterprise: $300,000.00 per year
- Team: $60,000.00 per year
- Business: $150,000.00 per year
Sources
Publisher resources
4 linksLinked repositories
Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.
Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.