Agents that learn on every run.
Governed for the enterprise.
Agents that learn on every run.
Governed for the enterprise.
Memori turns every trace into memory the next run starts with, so long-running, tool-heavy agents stop repeating the same errors.
The Problem
Your agents keep making the same mistakes.
Your agents keep making the same mistakes.
Today’s memory stores what was said. The failures, the fixes, and the wasted tokens are in what the agent did.
SDK memory
Blind to execution.
Mem0, Zep, and LangMem store what the developer passes them. Tool failures and the fix that resolved them rarely make it in, so the next run repeats both.
RAG Pipeline
Ranks similarity over outcome.
Nothing supersedes, so yesterday’s failure log can outrank today’s fix, and recall gets noisier as memory grows.
Platform memory
Locked to one provider, still blind to the trace.
Hyperscaler-native memory sits beside the model storing conversation state, not tool calls, failures, or outcomes. Switch models and lose what it kept.
Why Memori
The only model-agnostic
memory layer on the inference path.
The only model-agnostic
memory layer on the inference path.
Every request and response crosses the gateway, so Memori captures the full execution trace, not just what gets logged.
Zero code changes. Point your agents at one base URL and they keep calling the model exactly as they do today.
Inside the loop
The Platform
What happens on the gateway.
A trace goes in and a procedure comes out.
What happens on the gateway.
A trace goes in and a procedure comes out.
Advanced Augmentation
Every run is structured while it happens.
Every run is structured while it happens.
As each run streams, Memori extracts what is worth keeping, from conventions and decisions to preferences and failures. Each memory is classified, duplicates collapse, and anything outdated is superseded.
Intelligent Recall
The right memory arrives at the right moment.
The right memory arrives at the right moment.
Recall puts the precise context in front of the agent at the moment it needs it, a convention when it opens a file or a fix when it hits a known error, and leaves out everything else.
Procedural Memory
Every error and its fix become a procedure.
Every error and its fix become a procedure.
Agents apply them before mistakes repeat, and every new batch of runs re-ranks what works best.
Memory Explorer
See exactly what your agents know.
See exactly what your agents know.
Every memory shows where it came from, so you can trace any of them back to the run that created it.
LLM-agnostic by design
Models change. Memory compounds.
Models change. Memory compounds.
Memory created on one model is instantly available to every other. Swap providers, run several side by side, or bring your own, without losing anything your agents have learned.
Governance
Memory your security team can say yes to.
Memory your security team can say yes to.
Agent memory holds your most sensitive operational knowledge. Memori governs it the way you already govern data: by who can see it, with a permanent record of every change.
Pools that enforce who has access
Pools that enforce who has access
Agents read and write only in the pools they’ve been granted. Every memory lives in a governed pool that decides who on your team can see it.
Anonymized audit logs that can’t be rewritten
Anonymized audit logs that can’t be rewritten
Every memory action is logged and timestamped automatically. Records are anonymized, encrypted, and never edited or removed.
Compliant by design
Compliant by design
Memori runs as a private memory fabric with tenant isolation and fine-grained access. Reports for SOC 2, HIPAA, and GDPR are in the Trust Center.
Visit the Trust Center
Deployment
Deploy your way
Deploy your way
Private by default, whether we run it for you or you run it yourself.
Managed by Memori
Managed single-tenant, private VPC
Managed single-tenant, private VPC
Memori sets up and manages a fully private, dedicated environment for you, so your compute and data never touch any other customer's.
Run it yourself
Self-hosted, on-prem
Self-hosted, on-prem
You run the gateway inside your own network, so nothing leaves it and you keep full operational control.
How we compare
Every memory system remembers chat. Only one remembers execution.
Every memory system remembers chat. Only one remembers execution.
SDK memory is model-agnostic but blind to execution. Platform memory sits on the path but stores conversation state, and locks you to one provider.
Feature | Memori | Mem0 | Zep | Hyperscaler Native |
|---|---|---|---|---|
Sits on the inference path It is a gateway rather than an SDK, so there are no code changes and no redeploy. | ||||
Model-agnostic across providers Move between Anthropic, OpenAI, Bedrock, and Vertex without losing memory. | ||||
Structured memory from execution traces Tool calls, failures, and outcomes become first-class memory. | ||||
Per-principal access control (ReBAC) Memory pools carry relationship-based grants. | ||||
Immutable, append-only audit trail Every read, write, and permission change is hash-chained. | ||||
Supersession and current-truth guarantees Facts are replaced and linked, never edited. | ||||
Deploys into your existing infrastructure It needs no graph database and no new datastore. |
Full support
Partial
Not offered
For Developers
Trusted by top developers worldwide
Trusted by top developers worldwide
Open source, battle-tested, and in the top 0.01% of GitHub projects by stars and growth. Drop the SDK into existing code and Memori handles model calls and callbacks with zero configuration.
500K+
downloads
15.7K+
github stars
0.01%
top of github by growth
“Memori introduces a compelling memory abstraction. Pairing it with MongoDB's flexible document model and integrated vector search could be a powerful combination. We'd love to explore how Memori can plug into the MongoDB ecosystem to unlock richer, more dynamic context for LLM-driven applications.”
Andrew Davidson
SVP Products, MongoDB
“Memori is a great fit for CockroachDB. Integrating enables developers to spin up memory-backed AI workflows with minimal cost and friction. With free starting credits, this is a perfect setup for testing, intermittent use, or scaling to production—without incurring upfront database costs.”
Spencer Kimball
Co-founder & CEO, Cockroach Labs
“Looks awesome! Love seeing DigitalOcean Gradient Agents in action with memory! Really smooth integration.”
Jeff Fan
Senior Solutions Architect, DigitalOcean
“Memori gives our NAMUHx wellness robots the persistent memory layer required to deliver truly personalized wellness experiences. Its strong recall accuracy and significant inference-cost savings make it one of the most compelling solutions we have evaluated for production robotics.”
Simon Hong
Head of AI Innovation, SK Networks
“Simple, clean, and straightforward to add Memori for Swarm's Agents.”
Kye Gomez
CEO, Swarms Corporation
“Memori toolkit for Agno works like a charm.”
Manu Hortet
Senior Software Engineer, Agno
Give your agents memory
Give your agents memory
Schedule a demo with Memori today. Your agents keep working the same way, they just stop forgetting.