Agents
Recurring work, autonomous — with clear limits.
Agents handle retention tasks on their own, bounded by budgets and approvals.
Agents run a loop: observe, decide, act, learn.
The need
You want to scale without giving up control.
How it works
01
Define
Set name, instructions, model and allowed tools.
02
Bound
Autonomy policy and guardrails set clear limits.
03
Run
Via cron, event or manually — with a full audit.
What's inside
Named agents (instructions, model)
Tool allowlist instead of open access
Autonomy: gated (with approval) or autonomous
Guardrails: max steps, token budget, timeout
Memory and delegation between agents
Output targets: inbox, email, Slack, Telegram
Old world → New world
The old way — and the way with GRVITY.
Old worldYou do recurring work by hand.
New worldAutonomous agents take it on — around the clock.
Old worldAutomation without limits is risky.
New worldTool allowlist, budgets, timeouts and a kill-switch.
Old worldNo record of what a script did.
New worldEvery run is audited and traceable.
In daily use
When it kicks in — concretely.
When
Churn risks should be handled continuously.
↓ GRVITY
An agent decides, writes, checks caps and sends — then reports.
When
An agent is new.
↓ GRVITY
It starts gated (with approval) and earns autonomy.
What you're wondering
Autonomous agents — do I lose control?
No. Agents act only within your frame: caps, approvals and a kill-switch always apply. Critical waits for you, the safe rest runs autonomously.
What if an agent does the wrong thing?
Expensive or sensitive actions go through approval, on anomalies the agent goes into deep-sleep, and every action sits in the log with a reason.
In the Hybrid Spectrum
The agentic level — full, but fenced in.
Control & safety
Tool allowlists, budgets and a kill-switch; autonomy is earned.
Goes well with
See GRVITY work on your data.
In a short demo we walk the path from signal to action — on your setup.