When to process AI context: ingestion, dreaming, query
There are three moments to process AI context: ingestion, a background pass some call dreaming, and query time. Match each kind of work to the right one.
Context as a Service for Agents
Drop-in context containers for all the agents you use and ship.
Connect this demo container and ask your agent anything about Wire
Try a prompt:
How can Wire help me as a freelance consultant?
How can Wire help me stop re-uploading files to every AI?
How can Wire help my team give consistent answers?
Copy a prompt and paste it into your AI tool after connecting
Containers
Each container is an isolated, permissioned environment for context, with its own database, MCP server, and API. Spin one up per person, team, project, or anything else. Every connected agent gets scoped access to only what it needs.
Every container is locked down by default. Connected agents only see what they have been scoped to.
Flip a container to public for read-only access when sharing openly makes sense. Any agent can connect.
Create a container in seconds. Delete it when it is no longer needed. Connect an agent to whichever container fits the work.
Context Flow
Upload files, let agents write entries, or push data through the API. Wire processes everything automatically. Connect from any MCP client or use the REST API.
Add context
Access anywhere
+ any MCP client PDF, Word, CSV, JSON, markdown, and more. Upload through the dashboard or the REST API.
Agents write entries directly via MCP. Notes, structured data, and markdown, all tracked by source.
One URL per container for any MCP client. Full REST API for automations and pipelines.
Intelligence
Wire analyzes everything inside a container and builds connections across it. Semantic neighbors, related claims, entity links, composites, time. Agents pivot from any result through whichever edges fit the question.
Collaboration
A container is the meeting point. Connect as many agents and people to it as the work calls for, each with scoped access. Updates are live, so every connection sees the same context at the same time.
Privacy and security
Anything an agent reads passes through Wire first. The substrate is built to make that path trustworthy as a property of the system, not as controls your code has to bolt on top.
Every context container has its own storage and MCP endpoint. Containers do not share state. Credentials are scoped per container, and a single container can hold multiple scoped credentials for different agents or deployments. None of them escalate to other containers, other users, or org-wide access.
Each context container has its own policies. Credentials are scoped per container, with a per-credential tool allowlist on top. Your agent only ever sees the tools you granted, on the container the credential scopes to. Adding an agent to the loop does not loosen the controls that protect the source data; the scoped credential is the control.
Two layers are on the record: credential-side activity (every action an agent takes through a scoped credential) and management-side activity (container creation, sharing, archival, member changes). You see exactly what was done, when, and on whose authority. Compliance evidence, incident response, and customer-facing transparency all come from the same trail.
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When to process AI context: ingestion, dreaming, query
There are three moments to process AI context: ingestion, a background pass some call dreaming, and query time. Match each kind of work to the right one.
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Connect any agent through MCP, or plug Wire into one through the SDK.