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// Virex Memory

Your agents earned that context. Stop throwing it away.

Every session starts as a stranger to your project. Virex Memory is persistent, searchable memory for AI agents: they write what they learn as they work, and find it again later across sessions, machines, and teammates.

// Memory follows the organization, not the machine.

// The problem

Context does not survive the session.

What an agent works out about your codebase is real knowledge. It just has nowhere to live once the session closes.

01

Every session starts from zero

A fresh agent re-reads the same files, re-derives the same conventions, and asks the questions you answered last week. You pay that cost again on every run.

02

Knowledge is stranded per machine

What an agent learned on your laptop is invisible to the one running on your desktop, and to the one your teammate started this morning.

03

Switching tools resets everything

Context held inside one tool does not travel. Move between the agents your team actually uses and the accumulated understanding stays behind.

// Cross-tool by design

One memory, whichever agent you run.

Virex Memory speaks the Model Context Protocol. Any MCP-compatible client reads and writes the same organization-scoped memory, so the layer under your tools stays put even when the tools change.

Claude CodeCursorCodexGemini CLIopencodeCowork

Support follows the protocol rather than a per-tool integration list, so a client that speaks MCP works with the same memory on the day it ships.

// Capabilities

What Virex Memory does.

Seven capabilities, all grounded in what ships today.

MCP-native

Agents read and write memory through a first-party MCP server, so any MCP-compatible client works with the same organization memory.

Read more

Semantic search

Memories are embedded as vectors and retrieved by meaning rather than by keyword matching.

Read more

Composite relevance scoring

A scheduled scoring process keeps ranking current as memories age, so results reflect what still matters.

Automatic lifecycle cleanup

Stale memories expire on their own. Nobody has to run a curation rota to keep the corpus useful.

Organization-scoped access

Memory belongs to the organization, with per-organization isolation enforced at the database layer with row-level security.

SDKs and APIs

First-party SDKs for teams wiring memory into their own agents, with REST and gRPC available on one host.

CLI with device-flow login

Terminal sign-in uses a device flow, so nobody is pasting long-lived tokens between machines.

Worth defining first: agent memory and the Model Context Protocol. For which clients this reaches, see the integrations directory, including Claude Code and Cursor.

// How it works

Write while working. Search when needed.

The loop is deliberately unremarkable, which is what makes it usable without ceremony.

01

Agents write as they work

Connected over MCP, or through the CLI and SDKs, an agent records what it learned without a human stopping to file it.

02

Memories are embedded for meaning

Each memory is stored as a vector, so later retrieval can match intent rather than exact wording.

03

Search returns what is relevant now

A composite relevance score, refreshed on a schedule, ranks results so aging memories do not crowd out current ones.

04

Stale memory expires itself

A lifecycle cleanup process retires memories that have stopped earning their place, keeping the corpus worth searching.

// With Virex Remote

One watches the run. The other keeps what it learned.

Virex Remote gives you oversight while an agent works. Memory makes sure the next agent does not start from nothing. Teams running both get continuity and control on the same subscription.

Seen as a job to be done, this is team-shared memory. Weighing alternatives? The comparisons cover Byterover, Mem0, Supermemory, Letta, and Zep.

Context outlives the session

A session ends and its context normally goes with it. Memory keeps what the agent learned so the next run, on any machine, starts informed.

Knowledge crosses the team

What one teammate agent worked out is available to the next, because memory belongs to the organization rather than to a laptop.

One subscription covers both

Adding Memory alongside Remote is a line item and a seat assignment, not a second contract or a second login.

// Scope and boundaries

Organization-scoped, and nothing wider.

Memory belongs to the org

Not to a machine, not to a single developer account. Teammates work against the same corpus under the same organization.

Isolation in storage

Per-organization isolation is enforced at the database layer with row-level security, rather than in application checks alone.

Seats gate access

A member reads and writes memory when they hold a Virex Memory seat. Removing the seat removes the access.

// FAQ

Virex Memory questions

Which AI coding tools work with Virex Memory?

Any client that speaks the Model Context Protocol, which includes Claude Code, Cursor, Codex, Gemini CLI, opencode, and Cowork. Because support follows the protocol rather than a hand-written integration per tool, a new MCP-compatible client works with the same memory without waiting on us.

What actually gets remembered?

Whatever your agents write as they work. Memory is a store your agents use rather than a transcript recorder, so the content is what an agent judged worth keeping.

How is search different from keyword search?

Memories are embedded as vectors, so retrieval matches meaning. Asking about a retry policy can surface the memory that described it without using the same words.

Does old memory make results worse over time?

That is what the relevance scoring and lifecycle cleanup are for. Scoring is refreshed on a schedule so ranking stays current, and stale memories expire without manual curation.

Can teammates see what my agents wrote?

Yes, within your organization. Memory is organization-scoped by design, which is the point: knowledge one agent earns is available to the next. Isolation between organizations is enforced at the database layer.

Do I need to use MCP?

No. There is a full web interface in the product portal, plus first-party SDKs and a CLI for teams wiring memory into agents they built themselves.

What does Virex Memory cost?

$15 per seat, per month, the same flat rate as every other Virex product. Your organization holds one subscription with a line item per product.

More answers on the Virex Memory FAQ.

Give the next session a head start.

Subscribe, assign a seat, and point your agents at the memory your organization already owns.