Sentra vs Supermemory: Org-Wide Memory vs a Developer Memory API
Sentra vs Supermemory compared - one org-wide bi-temporal graph vs a developer-first memory API and MCP server. Scope, write-time comprehension, and when to use each.
TL;DR
- Sentra is the stronger choice when memory has to be shared and stay correct across a team: one org-wide bi-temporal graph, comprehension at write time, and governance built in.
- Supermemory is a capable developer-first memory API and MCP server for adding long-term recall to a single app (supermemory.ai) — but that memory stays scoped to the product you build.
- Supermemory fits developers adding fast, per-app long-term recall through a clean API and MCP. Sentra fits organizations that need one shared, governed source of truth across teams.
- Supermemory scopes memory to the app or user you build for. Sentra shares one graph across the whole company.
- They complement each other. Use Supermemory for per-app recall and Sentra as the shared memory layer underneath.
What This Comparison Is About
Supermemory and Sentra both add memory to AI, but they aim at different buyers. Supermemory answers "how does a developer give one app or agent long-term memory through an API?" Sentra answers "how does an entire company, humans and every agent included, share one source of truth?" The right choice depends on whether your memory lives inside one product or spans an organization.
Supermemory is a developer-first memory layer: an API and MCP server that ingests content, stores it, and serves relevant memories back to your model at query time, with SDKs that drop into an existing stack (supermemory.ai). Sentra is the company brain for your teams and agents, a single shared graph where what you teach one agent, every agent remembers.
The distinction matters because memory scope dictates everything downstream. A per-app memory API optimizes for fast, easy recall inside one product. An org-wide memory layer optimizes for shared knowledge that stays correct across teams, tools, and time.
At a Glance: Sentra vs Supermemory
The table contrasts design intent, not a scorecard. Supermemory gives a developer a clean memory API for one app. Sentra gives a whole company one shared, governed graph.
| Dimension | Sentra | Supermemory |
|---|---|---|
| Primary buyer | Organizations sharing memory across teams and agents | Developers adding memory to an app or agent |
| Memory scope | One org-wide graph shared by humans and every agent | Per-app or per-user, defined by your integration |
| Interface | REST and MCP, plus 200+ tool integrations | Memory API, SDKs, and an MCP server |
| Write mechanism | Write-time comprehension against a per-org ontology | Ingest and index content for later retrieval |
| Temporal awareness | Bi-temporal: each fact knows when it became true and when it stopped | Recency and metadata |
| Sharing across agents | One graph; teach one agent, every agent remembers | Defined by your integration; not org-wide by default |
| Commitment and contradiction | Tracks commitments and detects contradictions across the org | Not in scope |
| Compliance | SOC 2 Type II and ISO 27001 certified | Not stated in sources |
| Best-fit use case | Multi-agent orgs needing one governed source of truth | Shipping long-term memory inside one product |
Supermemory details trace to the Supermemory project. Sentra's MEME results trace to KAIST, 2026. The sections below explain why each design lands where it does.
Developer API vs Org-Wide Layer
Supermemory's strength is developer experience. It exposes memory as an API you call from your app: ingest documents, messages, or web content, then retrieve the relevant pieces at query time. Its MCP server means an agent can reach that memory through a standard protocol, and the SDKs make it quick to add long-term recall to a product that previously forgot everything between sessions.
That design is ideal when you are the developer and the memory belongs to your app. You decide what to ingest, how to scope it, and when to retrieve it. Sentra makes a different bet. Instead of handing you a memory API to wire per app, it provides one org-wide graph that already understands your organization, which every agent and human reads from and writes to. Supermemory optimizes for the developer integrating one product. Sentra optimizes for the organization sharing knowledge across many.
Write-Time Comprehension and Fact Lifecycle
Most memory APIs do their heavy work at retrieval: store content, then search it by similarity when asked. Sentra moves the work earlier. Each incoming fact is structured against a per-organization ontology, linked to its evidence, and connected to existing entities at write time, so retrieval returns a resolved answer rather than a pile of similar chunks.
That ingestion-time comprehension also enables a fact lifecycle. Every fact in Sentra's graph carries two timestamps, one for when it became true and one for when it stopped being true. When a fact changes, Sentra invalidates the old one instead of deleting it, so agents never restate deprecated information as current and you keep an auditable history of what was true and when. A per-app memory store typically treats a fact as present or absent, which is fine for one product's recall but thinner when an organization needs to know exactly when something changed.
Scope and Sharing Across Agents
Supermemory scopes memory to the integration you build. That keeps each app's memory clean and contained, which is what you want when the memory belongs to one product and should not bleed into another. Cross-app or cross-agent sharing is something you design and wire yourself.
Sentra inverts that. One graph holds everything, and what you teach one agent, every agent remembers. A fact captured from Slack is available to an agent working in Notion and to the human reviewing both, because they all read the same governed source of truth. Identity resolution keeps that safe, collapsing the same person across tools into one entity. Commitment tracking and contradiction detection then run on the shared graph, which a per-app store has no surface to support.
Best For: Supermemory
Reach for Supermemory when you are a developer adding long-term memory to one app or agent and you want a clean API and MCP server to do it fast. If your goal is to make a single product remember a user across sessions, ingest documents for retrieval, and ship quickly without standing up your own memory infrastructure, Supermemory is a strong, developer-friendly choice.
It is also the better fit when the memory should stay scoped to your product and you want full control of what gets ingested and retrieved through code.
Best For: Sentra
Choose Sentra when more than one agent and more than one team need to read from the same memory. The shared graph means a fact your sales agent learns is immediately available to your support agent and to the human reviewing both. Sentra fits multi-agent orgs where Claude, Cursor, and ChatGPT all need consistent context, cross-team knowledge sharing, compliance-sensitive environments that require SOC 2 Type II and ISO 27001 with air-gapped deployment, and operations that track commitments and contradictions across the company.
If your need is one app remembering one user, Sentra is more than you need. The org-wide graph earns its place once memory has to be shared and governed.
Can You Use Both?
Yes. Supermemory gives one app fast, developer-controlled recall. Sentra sits underneath as the org-wide brain every agent and human reads from. You ship the product on Supermemory and connect Sentra so a fact taught once is governed and shared everywhere. One handles per-app recall. The other holds what the whole company knows.
How to Choose
Three questions point you to the right tool.
Start with scope. If you are a developer giving one app or agent long-term memory, Supermemory fits the problem. If every agent and every person in your company needs one shared source of truth, Sentra's shared graph is the right architecture.
Next, weigh governance. If you need bi-temporal fact lifecycles, commitment tracking, contradiction detection, and certified compliance, Sentra was built for that load. If your memory stays inside one product, a memory API carries less overhead.
Last, decide on building blocks versus a managed brain. Supermemory hands you an API and MCP to build with. Sentra is a managed company brain, available as cloud, isolated VPC, or air-gapped on-prem, with no model training on your data. Many teams use both, with Supermemory in a product and Sentra as the org-wide layer underneath.