For teams shipping AI agents

The context layer your agent needs. Already built.

Context ingestion, sync, retrieval, and access. All built. Drop Wire in and ship the agent.

What slows agent products down

The agent is the product. Everything around the context layer is the tax.

Rebuilding ingestion

Every agent product ends up rebuilding the same connect-your-Drive, drag-files-here, paste-your-docs onboarding. Real engineering work that has nothing to do with what the agent actually does.

Holding data you do not want

The minute you store documents, notes, and decisions, you inherit retention, deletion, audit, and access-revocation work. None of that is on the roadmap you set out to build.

Snapshots go stale

Imports are point-in-time copies. The source data keeps changing, and the agent quietly drifts out of sync.

Onboarding eats months

Every new account turns into hours of back-and-forth about how to give the agent access to the right material. That tax compounds as you scale.

Drop in a context layer instead of building one

Wire handles ingestion, sync, retrieval, and access. The SDK gives you a drop-in connect flow that hands back a scoped MCP endpoint. The agent reads and writes the container through MCP from there. Updates propagate live, so every connected agent sees the same context at the same time. You ship the agent. The context layer stays out of your way.

Drop-in SDK connect flow returns a scoped MCP endpoint and key
Authorization happens in the browser. Your app only handles the endpoint, not the user data
Agents read and write the container through MCP or REST, not through the SDK
Updates propagate live to every connected agent
A container is reusable across every Wire-connected agent

Who is building with Wire

Devtools and IDE agents

Coding agents, CLI tools, and IDE plugins that need project notes, prior decisions, and patterns to ground in, without asking for it again every session.

Workflow and productivity agents

Drafting, planning, and research agents that get sharper as more context flows in. The agent should not be the thing holding all that data.

Specialized vertical agents

Sales, support, ops, or finance agents where each container holds the playbook, accounts, and history the agent needs to ground in.

Security & control

A substrate your customers can sign off on

Wire's posture sits underneath your agent. The harder questions stop landing on your team.

One container per customer, isolated

Your customers' data lives in separate containers with separate state. There is no shared blast radius if one customer's content is sensitive.

Scoped MCP access per agent

Each agent connection gets a scoped endpoint to a specific container. Revoke at any time without touching the rest of your deployment.

No training on customer content

Default behavior, contractually backed. Your customers can confirm it directly in our terms.

Deployment options for regulated buyers

SaaS for most. Customer-cloud (BYOC) and region-pinned tenancy available when your buyer requires data to stay in their cloud or region.

Need a custom DPA or security review for a deal? Talk to us.

Common questions

How does the connect flow look in practice?

Your app calls the SDK to start the connect flow. The person whose context is being used sees a short code in a browser tab, picks an existing container or creates one, and confirms. The SDK call resolves with a scoped MCP endpoint and key for your agent to use through MCP or the REST API.

Does the container owner need a Wire account?

Yes. That is what keeps your product out of the data-handling business. Anyone can spin up a container in seconds and claim it later, so first-time friction is small.

What does my agent end up storing?

Only what you choose to. The SDK is stateless and hands you the connection details once. Persist whatever fields you need wherever you keep your own state.

What does this cost me as the builder?

Nothing for the SDK itself. Wire bills the account that owns the container being used. Your job is to wire the agent in.

Can the same container be used by multiple agents?

Yes. That is the point. One context layer can power many agents, so the people behind a container do not have to set their context up again every time they pick up a new tool.

Learn more

Context engineering for production agents.

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