Skip to main content
Use case · Developers & SMB

Governing your personal AI agent

The laptop that can spend, delete, and leak: put permission limits, a kill switch, and an audit trail around the agents you run on your own machine.

The risk

What an ungoverned agent gets wrong here.

A single AI agent on your own laptop already has more reach than most people realize. It can call paid APIs, run shell commands, read and write your files, open network connections, and act on whatever accounts you handed it a key for. You built it to be helpful, so you gave it access. The problem is that nothing sits between the agent's next decision and your real money, your real files, and your real credentials. A loop, a bad prompt, or an unexpected chain of tool calls, and the agent does something at machine speed that you would never have approved by hand. Governance is what turns an agent you hope behaves into one you can bound, watch, and stop.

Without governance

Where it goes wrong.

01

The overnight loop that ran up a bill

You leave an agent running and a retry loop keeps it calling a paid API or a cloud service all night. By morning it has quietly spent far more than you ever meant to, and nothing capped how fast or how much it could consume.

02

The destructive command

An agent decides the quickest path is to delete a directory or force-push over your branch. It runs the command at once, and work you cannot easily get back is gone before you notice.

03

The key that ended up in a log

An agent writes an API key or a secret into a log line, a commit, or a message where it should never appear. Now a private credential is sitting somewhere you did not intend, one copy away from being someone else's.

04

The tool call that reached too far

A chain of tool calls carries the agent into a system you never meant it to touch, a production endpoint or an account with real consequences, because nothing enforced the boundary of what it was actually allowed to reach.

With Agentomy

How Agentomy governs it.

01

Discover what your agent can reach

See every agent you are running and the tools, keys, and systems each one can touch, so nothing is acting on your machine without your knowledge. An agent you have not registered is held to read-only until you scope it.

02

Enforce spend, rate, and permission limits

Set hard limits on how fast and how much an agent can spend, and bound exactly which commands, files, and systems it may reach. An action outside the bounds you set is refused and recorded, not run.

03

One command to halt it

When something looks wrong, a single command stops the agent immediately, and the halt holds rather than silently letting it resume. You do not have to chase down a process or hope it notices a stop signal.

04

A record of everything it did

Keep a tamper-evident log of every action an agent took, so when something goes wrong you can see exactly what happened, in what order, and why, instead of guessing from scattered logs.

See it in the record

Every action, logged and provable.

A tamper-evident, hash-linked trail of every governance decision for this workload: what an agent did, under whose authorization, and why. Plain-English reasons for every allow and deny, exportable to the framework your auditors care about.

Agentomy Command CenterFilter Governing your personal AI agent
  • 100% Integrity
  • 40,920 Blocks
  • SHA-256 hash-linked
Audit trail: one tamper-evident block per governance decision, hash-linked to the one before it
BlockTimestampAgentActionTierHash
40,920Today 12:42:08lead-research-agentdata_access_requestEvaluator93c57b65e2492012
40,919Today 12:41:54inbox-triage-agentoutput_validationAnalystc660425dc4db776d
40,918Today 12:41:37supplier-review-agentpolicy_checkBuilder8978ad296a109b5f
40,917Today 12:40:58bookkeeping-agentbehavior_driftOperator061c14bfaa3b5457
40,916Today 12:40:21contract-draft-agenthalt_initiatedStrategistdcf5a0bd5f0ac36c
40,915Today 12:39:46weekly-report-agentprompt_reviewEvaluator3e71514ed4250a1e
Governance events today: 12,842Demo environment
Illustrative interface with sample data, in the shipped Command Center’s structure. Not a customer environment and not a live feed.

Ready to govern your agents?