Not a transcript dump
Agents see too much context to remember all of it. xmemory is for the durable facts your product needs later, not every intermediate message.
Agents write and read in plain text through MCP, CLI, APIs, and pre-built integrations. xmemory keeps the underlying data clean, structured, and queryable, while giving agents a short, explicit feedback loop when something needs correction.

xmemory is a memory engine for saving and retrieving the facts that matter to your workflow. We do not believe useful memory means saving everything. We believe memory should be focused on your product, vertical, and agent task.
Agents see too much context to remember all of it. xmemory is for the durable facts your product needs later, not every intermediate message.
Schema is a programming language for memory. It tells the engine which objects, facts, and relationships matter for your workflow.
Support, sales, coding, research, and operations need different memory. Schema makes that domain model explicit instead of hidden in prompts.
Every memory-related workflow needs these capabilities somewhere. Sometimes they are explicit services, sometimes they hide inside prompts, cleanup jobs, and side workflows. xmemory takes this complexity away so developers can focus on product logic and business value.
Turn natural-language writes into facts that match your memory model.
Keep stored memory aligned with expected fields, types, and constraints.
Update the current state instead of accumulating conflicting notes.
Store facts as connected state that can answer direct product questions.
See where memory came from and how reads and writes changed it.
Control access, review sensitive memory, and keep humans in the loop.
Create schemas from workflows and adapt them as the product surface changes.
Let agents keep moving while memory writes are processed reliably.
In-house memory feels like control until every stale fact, schema change, conflict rule, and migration becomes yours to maintain. xmemory handles the infrastructure while product-critical choices stay explicit.
Choose which objects, fields, and relations can be stored. Field and object descriptions give extraction your product semantics instead of leaving them hidden in prompts.
Write from messy context, explicit fields, or both. Scope reads and writes when your product knows the shape, while keeping flexible memory for everything less structured.
Configure what counts as non-conflicting state, how facts should update, and when memories expire with TTL, so stale or contradictory memory does not become manual maintenance.
Bring existing memory into xmemory, inspect what is stored, and export it when needed. Your memory stays a product asset, not a vendor trap.
Connect xmemory where your agents already work: through MCP tools, CLI flows, direct APIs, language SDKs, or pre-built integrations for common agent frameworks and automation stacks.



See and query every memory operation for testing, debugging, and incident resolution.
Open the current data in tables for full transparency on what AI knows now.
Edit data manually when you need explicit control over the truth and policies agents rely on.
Control API keys and permissions to protect data from unauthorised agentic corruption.
© 2026 xmemory Inc. All rights reserved.
We use essential cookies to run the website and, with your consent, Google Analytics cookies. See our Privacy Policy andT&C.
