Sold by: Memori Labs
Deployed on AWS
Memori is agent-native memory infrastructure: an LLM-agnostic layer that transforms agent execution and conversation history into structured, persistent state for production systems. Unlike conversational memory wrappers or vector retrieval, Memori captures tool calls, decisions, traces, and user context as durable, queryable state that agents rely on across sessions, models, and workflows.
Let Memori handle agent memory so your team can improve accuracy and cut inference costs instead of building and operating a memory system themselves.
Benchmarked on LoCoMo, a benchmark from Snap Research measuring how well systems remember and retrieve details. Memori delivers industry-leading results: 82% accuracy using 1,294 tokens, roughly 5% of full-context cost, enabling teams to reduce inference spend by up to 95%.
Built for enterprise, Memori works with the infra you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.
Overview
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.
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:
- Memori Cloud: fully managed, multi-tenant, scalable.
- Single-Tenant Cloud: isolated, Memori-managed environment for production workloads.
- Customer VPC / On-Premises: runs in your environment; your data never leaves it.
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 15.5K GitHub stars and 250K 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
- 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 95.03%. 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.
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Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Team | Scale: Single production agent; Deployment: Managed, multi-tenant cloud | $60,000.00 |
Business | Scale: Multiple production agents; Deployment: Single-tenant, Memori-managed cloud | $150,000.00 |
Enterprise | Scale: Org-wide, unlimited agents; Deployment: Customer-VPC / on-prem, dedicated infra | $300,000.00 |
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Memori Labs provides customer support for onboarding, product questions, and issue resolution. Support is available by email with a 2 business day turnaround via hello@memorilabs.ai
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