Runs on your infrastructure
Agents execute on your own Mac, Windows, or Linux machines through outbound-poll runners — no inbound ports, no VPN, no exposing your network. Your code and data stay where you control them.
Agents that run on your own infrastructure, act through approved tools, and leave a full audit trail — with cost attribution and approval gates your organization controls.

Most AI platforms ask you to trust a black box. J5 Agent Fleet gives you the controls a real organization needs — execution on infrastructure you own, a durable audit trail, attributable spend, and human approval where it matters.
Agents execute on your own Mac, Windows, or Linux machines through outbound-poll runners — no inbound ports, no VPN, no exposing your network. Your code and data stay where you control them.
A durable execution ledger captures every delegated step across tasks, projects, meetings, approvals, and local actions — so reviews, compliance conversations, and post-mortems run on facts, not scattered chat logs.
Budget policies plus spend attribution by agent, model, and project — with hard-stop guardrails before overages compound. Finance and engineering act on the same data.
Require human sign-off before high-risk, external-facing, or spend-heavy actions. Gates are configurable by risk level, cost threshold, and task type, with a full record of who approved what and when.
Per-user encrypted key management. Run Claude, GPT, Gemini, or local models, pinned per agent — your keys stay encrypted at rest and scoped to your account, never shared platform-wide.
We'd rather be honest about what's shipped than imply a checkbox we haven't earned. These are in progress or available to discuss — talk to us about your requirements and timeline.
Type II program underway via a compliance automation platform.
Enterprise SSO and SCIM provisioning for major IdPs (Okta, Entra, Google Workspace) — available to set up on request.
Owner / Admin / Member / Viewer and approver roles across privileged actions.
Region-pinned processing and isolated deployments by arrangement.
Data Processing Agreement with SCCs and a subprocessor list, provided on request.
J5 Agent Fleet does not treat spend as a back-office afterthought. Teams can review budgets, attribute usage by agent/model/project, and keep AI economics visible in the same workspace where work is planned, delegated, and reviewed.

Create budget guardrails at the right scope, review current usage, and see remaining headroom in plain language instead of hunting through billing tools.
Switch between operational views to understand which specialists, models, and projects are driving cost so finance and engineering can act on the same data.
Daily spend trends, rolling windows, and active budget status keep economics visible while the fleet is running, not after the invoice lands.
Tell us about your environment, security requirements, and the work you want to put on autopilot. We'll walk you through how teams deploy J5 with governance intact.
Talk to usOr email hello@j5agentfleet.com directly.
FAQ
How J5 keeps execution governed, auditable, and on infrastructure you control as autonomous work scales.
Yes. J5 Agent Fleet is built for supervised autonomy. You can review plans, inspect task detail, monitor progress, pause or resume execution, and use consultation checkpoints where humans review work before it advances.
Approval gates are human checkpoints that block agent execution until a team member explicitly signs off. They are useful before high-risk actions, external-facing changes, spend-heavy tasks, or any step where a human decision is genuinely required. Gates can be configured by checkpoint type, risk level, or task type, and the platform keeps a full audit trail of who approved what and when.
Yes. The agent runner daemon lets you connect any Mac, Windows, or Linux machine as a local execution node. Mac and Windows users can download the desktop app from Settings → Runners and sign in; the app registers the daemon automatically. Linux, headless, CI, and advanced manual installs can still use one-time setup tokens and CLI commands. Agents then run with full access to your local repositories, CLI tools, and environment.
J5 keeps planning context, task history, outputs, and operational activity attached to the work. That gives teams a concrete trail for reviews, compliance conversations, and post-mortems instead of relying on scattered chat logs.
The costs workspace gives teams rolling spend visibility, budget policies, and hard-stop guardrails for new work. You can see spend before it compounds and intervene with clear operational context instead of reacting after the billing cycle closes.
Yes. J5 surfaces spend and usage across multiple views so teams can inspect economics by task history, agent, model, and project. That makes it easier to spot where paid usage is concentrating and adjust operating choices before costs drift.
Teams typically start with one real project, connect the relevant repositories and context, and let J5 decompose the work into an operational plan. From there, they can expand the roster with specialized agents while keeping humans in the review loop.
J5 Agent Fleet offers a free Trial to get started, a Free tier with a monthly task allowance, a Pro tier for individual power users, and a Team tier for collaborative workspaces. See the Pricing page for current limits. Paid plans are billed through Stripe and can be managed from Settings → Billing at any time.