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Use Case

Agent harness for Infrastructure Automation

Adaptive's Exo is an agent harness for SSH, Kubernetes, and database operations — every tool call, MCP call, session, context window, and memory write captured and governed from a single control plane. You write the prompts and workflows; Adaptive provides the harness, tools, MCP registry, networking, and guardrails.

harness·h-6427
Adaptive
$adaptive harness h-6427
↳ session opened
harness $plan --stack=vpc-rollout
+ aws_vpc.main
+ 6 subnets, 3 route tables
! public subnet on private tier
× destroy blocked on kms_key.billing
apply: awaiting approval 1/2
harness $
scope: account-bound
destroys: gated
audit: on
The problem

Agents that automate infrastructure touch production systems through SSH, kubectl, database clients, and cloud APIs. Without a harness, their tool calls, MCP invocations, reasoning context, and persisted memory are invisible — you cannot tell which agent ran which command, on which host, with which credential, or why. When something breaks or leaks, there is no session to replay and no control plane to revoke.

56%
of cloud security incidents involve compromised static credentials used by automation tooling
180+
days average dwell time when attackers gain access through compromised infrastructure automation credentials
73%
of organizations cannot attribute infrastructure changes to specific automation agents or sessions

An agent that can SSH into a server, apply a Kubernetes manifest, or run a database migration is only as safe as the audit trail behind it. Most teams have none — agents run with static keys and unbounded memory, and operators cannot answer basic questions like "what did this agent do last Tuesday, and with whose permission?"

The solution

One harness, one control plane — full auditability for every infrastructure agent

Exo wraps agents in a harness that records every operation — tool calls, MCP calls, sessions, context, and memory — across SSH, Kubernetes, and database workflows. You author the prompts and workflows. Adaptive provides the harness, the MCP registry, the networking, and the guardrails. Operators manage policies, credentials, and replay from a single control plane.


Benefits

How Adaptive helps

1

Capture Every Tool & MCP Call

The harness intercepts every tool invocation and MCP call the agent makes — kubectl apply, ssh exec, SQL query, cloud API — and records arguments, outputs, timestamps, and the session that issued them.

Write the prompts and workflows that drive the agent. Drop Exo harness around them — tool and MCP traffic is captured without changes to prompts or agent code, and surfaced in the control plane for search and replay.

2

SSH, Kubernetes & Database Sessions

Route agent access to servers, clusters, and databases through brokered sessions with per-session ephemeral credentials. Scoped kubeconfigs, short-lived SSH certificates, and time-boxed database roles — no static secrets on the agent.

Configure SSH, Kubernetes, and database targets once in the control plane. Agents request sessions on demand and credentials expire automatically when the task ends.

3

Session, Context & Memory Audit

Every agent session is recorded end-to-end — the prompt, the context window at each step, the model's reasoning trace, and any memory the agent reads or writes. Replay a run months later to understand exactly what happened.

Stream harness events into your SIEM or data lake. Use the control plane to replay any session, diff context across runs, and inspect memory writes before they persist.

4

Single Control Plane

Manage policies, credentials, agents, and audit trails for all infrastructure automation from one place. Revoke a credential, pause an agent, or tighten a policy and have it apply everywhere the harness runs.

Onboard agents, targets, and human operators in the control plane. Push policy changes — scoped namespaces, blocked commands, approval gates — as code and see them enforced in every session.

5

Attribution for Every Change

Every infrastructure change is tied back to the agent, session, prompt, and triggering event that produced it. Correlate a kubectl rollout or a SQL migration with the exact run that issued it.

Connect harness logs to your incident response and compliance workflows. Answer "who changed this?" with a session link, not a guess.