Evidence tier Source Confirmed · 4 captures on record
What the publisher says
As described on AWS Marketplace.
**Memori: Agent-Native Memory Infrastructure**
Memori Labs delivers the production-grade memory infrastructure enterprises need to run autonomous AI agents at scale. As agents execute multi-step workflows, passing full conversation and execution traces back to the LLM on every call inflates inference spend and degrades accuracy. Memori solves this at the infrastructure layer, so your engineering teams focus on agent capability and core business logic instead of building and operating a memory system themselves.
Show the rest of the publisher’s description (6 more lines)
Unlike conversational memory wrappers or basic vector-retrieval layers, Memori structures memory from both natural-language interactions and agent execution steps: tool calls, decisions, and system traces. It turns chaotic runtime data into persistent, queryable memory state, giving your agents durable recall of what matters and dropping the token overhead of replaying full history.
**Built for the enterprise.** Memory pooling, agent access control, full observability, and immutable audit logging are standard. Memori is LLM-agnostic and works with the data infrastructure you already run, through partnerships with a wide range of leading database providers so there is no rip-and-replace and no new datastore to adopt. A drop-in proxy adds memory to your agents with no changes to their code. Deploy at the scale and level of control you need:
- **Customer VPC / On-Premises:** runs in your environment; your data never leaves it.
- **Single-Tenant Cloud:** isolated, Memori-managed environment for production workloads.
- **Memori Cloud:** fully managed, multi-tenant, scalable.
Memori works with leading enterprises to power both internal and external agentic workflows. Since emerging from stealth in late 2025, Memori's open-source repository has surpassed 16K GitHub stars and 600K downloads. Bessemer Venture Partners has identified memory and context management as a core layer of the emerging AI infrastructure harness, citing Memori among the category leaders.
Highlights
Highlighted by the publisher on AWS Marketplace.
Memori is the only memory layer built for agent execution. Every tool call, constraint, and decision your agent makes is context, and by avoiding re-injecting it every time, Memori lowers inference spend by up to 97.2%. It intercepts queries across any model to reduce redundancy and deliver personalized, consistent product experiences. It surfaces the right memory at the right time, automatically decaying older memories and prioritizing newer, more relevant ones.
Memori supports all frontier LLM providers, including Anthropic, Gemini, OpenAI, and leading open-source models. As an LLM-agnostic platform, Memori delivers enterprise memory at the API level, allowing you to take your persistent contextual awareness wherever you build to next.
Memori is built for your existing enterprise architecture. No friction, no new data paradigms, no learning curve.
Agent build and provenance
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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
3 listed- Units
- Units
- Units
Refund terms
As stated by the publisher on AWS Marketplace.
All fees are non-cancellable and non-refundable except as required by law.
Sources
Publisher resources
1 linkLinked 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.
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