See and control every action your AI agent takes

Your agent acts.
Kynor decides
what's allowed.

See every action your agent takes — and stop the wrong ones before they happen. Before your users notice.

See what your agent just did → How it works
Open source SDK No network dependency

Built for teams running

→Customer support & operations agents
→Autonomous workflows that take real actions
→AI systems that touch money, APIs, or data
Allowed
Safe order lookup continues with full audit evidence attached.
Blocked
Agent attempts a $4,200 refund outside policy limits.
Scrubbed
Agent tries to send customer PII in a tool call parameter.
Allowed
Ticket update proceeds within policy and is recorded in the audit trail.
Live agent decision interception
kynor — runtime · support-bot live
Your agent acts. Kynor decides what's allowed — before anything runs.
The problem

Shipping the agent
was the easy part.
Controlling it is where every agent decision becomes real risk.

Unexpected financial actions.Your agent issued a $4,200 refund at 2:13am.
It retried 47 times because the API was slow. You didn't see it until the customer emailed. By then, three more had gone through. No policy. No guardrail. Just a model making decisions.
No way to prove what happened.Something went wrong at 09:42. You have no idea which agent, which run, or which call.
You're in the logs trying to reconstruct what happened. Without a signed audit trail, you're guessing and so is your legal team. Logs tell you what happened. They don't prove it was governed.
Data you didn't authorize.Your agent put a customer's email address in a tool parameter it was never supposed to touch.
You didn't design it to. But agents do unexpected things with data. No scrubbing fired. No alert triggered. No record exists. Agents don't respect boundaries you didn't enforce.
Zero compliance evidence.The auditor asked for proof your agents were governed. You had nothing to show.
HIPAA. SOC2. EU AI Act. "We trusted the model" is not an audit trail. The evidence has to exist before the question gets asked.

Agents don't fail because they're intelligent. They fail because nothing is controlling them. Kynor exists to control actions, not just monitor outcomes.

See it in action

Your agent is already making decisions.
Do you know what they are?

One decorator. No setup. See every decision your agent makes before your users do.

kynor — first run walkthroughintercepting
step 01 · instrument
# before: 0 governance
def issue_refund(order_id, amount):
    return pay.refund(order_id)
# after: 1 decorator
@govern ← this is everything
def issue_refund(order_id, amount):
    return pay.refund(order_id)
step 02 · run normally
$ python agent.py
✓ kynor intercepting · policies active
◆ agent detected — unclaimed
step 03 · dashboard
run_48821 · support-bot · 2m agoLIVE
ALLOW  lookup_order · ORD-48821
BLOCK   issue_refund · $650 > $500
SCRUB   send_confirm · PII removed
ALLOW  update_ticket · TKT-1291
step 04 · claim
◆  Agent not yet claimed

You didn't configure anything. You still saw everything.

01 ·
One line. Full visibility.
One decorator. Your agent logic stays untouched. No wrappers, no rewrites, no new infrastructure to maintain.
02 ·
Run your agent. Kynor is already watching.
The moment your agent makes its first call, Kynor is there. Nine default safety policies fire immediately. Every decision recorded.
03 ·
See every decision live, before anything breaks.
Tool call by tool call: cost, risk, and policy outcome. You see what was allowed, blocked, and scrubbed before it turns into an incident.
04 ·
Take control when it matters.
Claim when you're ready. Four fields gives your agent an identity, policy bundle, and clear ownership, not after something goes wrong.
See what your agent just did →

From zero visibility to full control in under 10 minutes.

How we build trust

Most tools tell you what went wrong.
Kynor makes sure it never happens.

01 ·
Break your agent before users do
Simulate real-world failures before they reach production. Prompt injection. Cost explosions. Edge cases you missed. Fix them before a user ever sees them.
02 ·
Your agent can't do the wrong thing
Every tool call is evaluated in under 5ms, locally. Refund ceilings, data boundaries, and loop limits are enforced at runtime, before damage is done.
03 ·
Every decision. Fully provable.
Every decision is hash-chained and tamper-evident. When security, legal, or auditors ask what happened, you have proof, not reconstructed logs.

Runs inside your stack. Local enforcement. No network calls. No blind spots.

Audit scenario simulation

The day your agent makes a mistake.

This is what happens when an AI agent makes a wrong decision in production.

Without Kynor
With Kynor
09:14:02
Agent issues refund → $4,200
09:14:02
issue_refund → BLOCKED (limit exceeded)
09:14:03
Retry loop triggers → 47 attempts
09:14:02
Routed to human approval queue
09:16:10
Customer receives incorrect confirmation
09:14:03
PII detected → SCRUBBED
09:42:18
Support ticket created
09:14:04
Run logged, signed, stored
11:05:32
Engineer starts investigating logs
09:14:05
You stopped it. You can prove it.
14:22:47
Root cause unclear. You can't prove anything.
09:14:06
Incident contained. Evidence already available.

Don't wait until your agent makes a mistake.

See what your agent just did →
Built for teams that need proof

When something goes wrong —
and it will — this is what saves you.

When an incident happens, the difference is whether you can prove what happened, what was blocked, and what was allowed.

✓
Provable decisions
Every governed action is sealed and reviewable.
✓
Compliance evidence
Reports generated from real governed runs.
✓
Runs in your environment
Enforcement stays inside your stack.
trust report · support-agent v1.481/100
behavioral correctness18/20 ✓
policy coverage100% ✓
chaos resilience14/20 ⚠
adversarial resistance12/20 ⚠
compliance postureHIPAA ✓
⚠ 2 blocking issues before productionview →
2026-04-11 · 847 runs validated · 30-day backtest passed
Generated automatically on every run. No manual reporting. No log digging.

Your agents are running right now.
Do you know what they just did?

We're onboarding a small number of teams running real agents in production. If you've felt that "what is my agent actually doing?" moment, this is for you.

free during beta · open source · no network dependency