Tool & memory injection
Org-wide tools and context injected into every request — managed auth, enforced policies, no per-agent setup.
The control plane for every agent harness
Point any harness at Attaché and it inherits your org’s connectors, memory, policies, and observability — Claude Code, Cursor, and the rest. It automatically picks up your organization’s authentication and single sign-on, too. No SDK. No fork. Nothing else changes.
endpoint
// see it on autopilot
A simulated Claude Code terminal steps through each scenario for you — authentication, tool thinning, team tools, skills, and knowledge. No install required. Pick a chapter or let it run.
// what your agents inherit
Org-wide tools and context injected into every request — managed auth, enforced policies, no per-agent setup.
Skills and playbooks emerge in real time from shared context — what one person figures out, the whole team inherits.
Verbose schemas slimmed and extraneous content stripped from tool results before they ever hit the model.
On-prem models scrub secrets and personally identifiable information before anything reaches an external service.
Simple tasks downshift to cheaper models that clear the quality floor — spend drops, quality doesn’t.
Every request, token, tool call, and dollar — live in Mission Control, with per-request savings shown.
A permissions layer that pauses sensitive actions for approval before they run — deny, allow, or escalate.
When every developer routes through the same layer, approvals, tool paths, and context that worked propagate org-wide automatically.
// agents that work as a team
Your team already works as a team — your agents should too. Everyone runs a different one: engineers live in Claude Code, marketers in Claude Cowork, platform folks on OpenCode with an open model. Out of the box, each agent works alone.
Attaché is the unifying layer underneath them all. Every request flows through the same shared context, so every agent — whatever the harness, whatever the model — picks up the same culture, the same priorities, the same knowledge, and the same tools. What one agent learns, they all know. Your team’s agents stop working solo and start working together.
One endpoint in front of your models. Everything downstream gets smarter.