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How Axonio compares.

Every memory tool persists something. The differences are in what you can do with it afterwards: relate it, version it, move it, and run it where your data lives.

Axonio compared with Mem0, Zep, Letta and Pinecone
CapabilityAxonioMem0ZepLettaPinecone
What it isMemory engine + hosted MCP serverMemory layer (library + platform)Managed context platformStateful agent framework + platformManaged vector database
Open-source coreMITApache-2.0 libraryGraphiti framework is open source; platform is managedApache-2.0Proprietary service
Self-hostingSame engine as the cloudOpen-source libraryGraphiti framework; platform via enterprise optionsLetta serverManaged service
Vector retrievalHybrid vector + full-text + graphVia a configurable vector storeHybrid search over the graphArchival memory searchDense + sparse vectors
Knowledge graphCross-source, time-awareGraph memory optionTemporal knowledge graphNot a core primitiveNot offered
Fork / diff / merge memoryZero-copy fork, diff, merge, discardNot documentedNot documentedNot documentedNot documented
MCP serverHosted + local, 44 toolsOpenMemory MCPGraphiti MCP serverAgents can use MCP toolsPinecone MCP server
Embedded / on-deviceOffline, syncs when connectedPython/JS library, depends on external storesServer-basedServer-basedLocal emulator for development only
Importers from other storesMem0, Zep, Pinecone + 6 moreNot documentedNot documentedNot documentedBulk import from object storage

From public documentation, last reviewed September 2026. Out of date? Tell us.

FAQ

Choosing a memory layer.

What is the difference between a vector database and agent memory?

A vector database stores embeddings and returns similar ones. Agent memory also has to track what changed and when, how facts relate, which memories contradict each other, and which user or agent they belong to. Axonio stores vectors, but models memory as typed, linked, versioned records.

Which one should I use?

If you need a general managed vector index, Pinecone. If you want an opinionated agent runtime, Letta. If your problem is enterprise context from many business systems, Zep. If you want the most-used memory library for personalisation, Mem0. If you need memory you can branch, self-host and embed on devices, with MCP built in, Axonio.

How were these comparisons made?

From each product’s public documentation, last reviewed September 2026. Where we couldn’t confirm a capability we say “Not documented” rather than “No”. If something is out of date, tell us and we’ll fix it.

Give your agents a memory they can branch.