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 on 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.
Common questions
How does the connect flow look in practice?
Does the container owner need a Wire account?
What does my agent end up storing?
What does this cost me as the builder?
Can the same container be used by multiple agents?
Learn more
Context engineering for production agents.
Article
Why MCP failures are a context engineering problem
New research analyzed 3,282 MCP bug reports across GitHub. The patterns reveal a context delivery problem, not a protocol problem. Here's what it means.
Article
Why every agent handoff corrupts your context
Every multi-agent handoff is a lossy compression event. Learn which five types of context degrade at agent handoff boundaries and how to preserve them.
Article
Why multi-agent AI systems fail at context
Up to 86.7% of multi-agent AI runs fail. Most failures trace back to how agents share context, not the agents themselves. Here's why and how to fix it.