A context engine your company owns.

Your company’s knowledge, ready for today’s tools and whatever comes next.

See how it works

Your company should own
what its AI knows.

Listening Post brings your knowledge, memory, and working context into a store your company controls. Models and agents come to it through MCP. Change the tools whenever you’re ready. Your context carries forward.

A mint context layer sits apart from a graphite production environment, with agent orbs beside the context layer.

Give agents context.
Keep production separate.

Connectors bring knowledge into Listening Post beside your existing stack. Give compatible agents access to that context without handing over write access to your production systems.

Your company decides what connects and where it runs.

Explore the architecture

Stay open to better.

The next model, the next agent, the next way of working. Keep the freedom to try them.

Your tools.

Use compatible models and agents through an open MCP interface. Connect a new tool to the company context you already have.

Your environment.

Self-host, host privately with us, or run on premises. Choose the setup that fits your company.

Your knowledge.

Keep company context under company control. Listening Post does not train on your data.

Make room for what comes next.

See what an independent context layer can do for your company.

Book a demo