MemorySync vs Anthropic Memory
Compare MemorySync with Anthropic’s memory tool, the memory stores in Claude Managed Agents, and the Claude app’s memory.
Capabilities side by side
| Capability | MemorySync | Anthropic Memory |
|---|---|---|
| Who decides what to remember | The API extracts facts from every write | Claude, during the conversation, by calling the memory tool |
| What is kept | Facts extracted from each write | Files that Claude writes and edits in a /memories directory |
| Where it is stored | MemorySync’s managed service | Memory tool: your own storage, through a handler you write. Managed Agents: memory stores hosted by Anthropic |
| Scoping | End user required on every API-key call; every read, search and delete is filtered to that end user and project | Memory tool: whatever your handler enforces. Managed Agents: stores scoped to a workspace |
| Search | Hybrid keyword and vector search | No search API: Claude views the directory and opens the files it needs |
| Models | Any model: retrieved facts go into your prompt | Claude models, on the Claude API, Amazon Bedrock, Google Cloud and Microsoft Foundry |
| Portability | Export through the API; import from other providers with the CLI | Memory-tool files are already in your own storage |
The Anthropic Memory column states only what Anthropic Memory publishes about itself, checked on 29 September 2026. Sources: Memory tool · Managed Agents memory. MemorySync figures come from our own production measurements and documentation. Capability tables age quickly: if anything here is out of date, tell us at team@memorysync.io and we will correct it.
Why teams choose MemorySync
- Facts are extracted and stored by the API on every write, so memory does not depend on the model deciding to call a tool in the middle of a conversation.
- Hosted and scoped for you: every call is filtered to an end user and project by the API, with no storage backend or tool handler to build and secure.
- One store for every model and tool: the same end user’s memory serves Claude, OpenAI and open-source models, and coding assistants over MCP.
Moving from Anthropic Memory
- 1
Read the memory files from the storage your memory-tool handler writes to.
- 2
Send each file’s text to MemorySync for the end user it belongs to; the facts are extracted for you.
- 3
Recall from MemorySync before each Claude call, or connect MemorySync’s MCP server so Claude can search memory as a tool.
Common questions
What is the difference between MemorySync and Anthropic’s memory tool?
The memory tool gives Claude file commands (view, create, edit, rename and delete) that your application carries out against storage you provide, and Claude decides what to write. MemorySync is a hosted API that extracts facts from each write, stores them scoped to an end user and project, and returns the relevant ones for a query, whichever model you use.
Can I use MemorySync if I prefer Claude models?
Yes. Query MemorySync for the end user and put the returned facts in your prompt to Claude, or connect MemorySync’s MCP server so Claude can search memory as a tool.
Comparisons
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