Do I need Temporal running to replay?

No. The recorded responses are served from the test set, so a replay run needs no Temporal instance at all. You need it once, during the recording pass.

Is my Temporal client still exercised?

Yes. Keploy replays at the protocol, so the client parses, converts and decodes exactly as it does in production. That is the difference from a stubbed client, which skips all of it.

How do I refresh the recordings?

Record again. One command re-captures every Temporal interaction, so a schema or response change surfaces as a diff instead of a stale fixture that still passes.

Does this replace Temporal's replay testing?

No, and they answer different questions. Temporal's own replay checks determinism against history. Keploy covers what the activities call, which is where the external dependencies live.

Does Keploy replace WireMock?

Not where you need the real engine, and that is worth being clear about. Use WireMock when a test genuinely has to exercise Temporal itself. Keploy covers the much larger set of tests that only need the responses.

Keploy as a Temporal testing framework

Keploy records the gRPC API exchanges your service has with Temporal, then replays them byte for byte in tests. Your Temporal client runs unchanged and does its real work on every run, but CI needs no Temporal instance, no schema and no seed data.

Generate Temporal tests free

keploy record -c "<your app start command>"

18.5K+

1.2M+300M+mocks createdSlack

What Keploy gives a Temporal team

Every Temporal call your service makes

Keploy records the gRPC exchanges between your worker and the Temporal service, plus the calls activities make, so a workflow can be tested without a Temporal cluster.

gRPC API captured
Activity calls captured
Task queue responses kept
No cluster in CI

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The problem

Why Temporal integration tests slow teams down

The friction is rarely the assertions. It is everything around them — spinning up dependencies, keeping mocks honest, and repairing tests after every refactor.

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Three ways to do it

Testing Temporal: by hand, with WireMock, or with Keploy

Testcontainers gives a test a real Temporal server at the cost of running one. A hand-written stub is cheap but never exercises the gRPC API. Keploy replays the recorded exchange with nothing running.

By hand

WireMock

With Keploy

Select any row for the full comparison, with code.

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Same coverage, three costs

What you write for Temporal vs what Keploy records

All three produce the same assertion. Only the third still passes after the next refactor without anyone editing it.

By hand2–4 hours

order_repository_test.py

hand-written

from unittest.mock import MagicMock

# A stub Temporal client: every reply is typed out here.

def test_reads_an_order():

client = MagicMock()

client.fetch.return_value = {

"id": "o-1",

"total": 4200,

"status": "NEW",

}

order = OrderRepository(client).find("o-1")

assert order.total == 4200

# Nothing here exercised the driver, so a type or encoding

# change in the real reply cannot fail this test.

A hand-written stub of the Temporal client. The driver never runs.

WireMock1–2 hours

order_repository_container_test.py

tool-assisted

import pytest

from testcontainers.core.container import DockerContainer

@pytest.fixture(scope="session")

def client():

# Boots a real Temporal per suite. Needs a Docker daemon

# available wherever the tests run, including CI.

with DockerContainer("temporal:latest") as c:

c.start()

yield connect(c.get_container_host_ip(), c.get_exposed_port(0))

def test_reads_an_order(client):

# Schema and seed data are still written by hand.

seed(client, id="o-1", total=4200, status="NEW")

order = OrderRepository(client).find("o-1")

assert order.total == 4200

WireMock runs the real Temporal. Fidelity is genuine; the job pays for it.

With Keploy~5 minutes

keploy/test-set-0/test-1.yaml

auto-generated

version: api.keploy.io/v1beta1

kind: Http

name: test-1

spec:

req:

method: POST

url: /orders/o-1/confirm

resp:

status_code: 200

body: '{"id":"o-1","status":"CONFIRMED","total":4200}'

assertions:

noise:

- body.confirmedAt

---

kind: gRPC

spec:

request:

url: https://api.payments.example.com/v1/charges

response:

body: '{"status":"AUTHORIZED"}'

---

kind: Http

spec:

request:

url: https://api.payments.example.com/v1/payment_intents/tok_123/confirm

response:

body: '{"status":"AUTHORIZED"}'

Recorded from one real request. Nothing here was typed by hand.

Times are estimates for authoring one endpoint’s coverage from scratch, not measurements.

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Keploy vs the alternatives

Temporal testing tools, compared

The options a team on service and platform integrations actually reaches for, and where each one genuinely wins. Select a row for the full comparison.

Keploy

WireMock

LocalStack

Mountebank

Hoverfly

Postman

SmartBear ReadyAPI

Best in classStrongPartialNot covered

Assessments reflect each tool’s documented behaviour, not benchmark measurements.

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How it works

Record your Temporal app once, replay it forever

Keploy sits below your Temporal process at the network layer. It watches the calls your app already makes, then serves them back on replay so tests run with no dependencies attached.

Your Temporal appGET/api/v1/orders/{id}200

RecordingKeploy proxyeBPF · userspace

Outbound HTTPEvery outbound HTTP call

gRPCHTTP/2 frames from a gRPC clientPartial

PostgreSQLPostgres protocol beneath the driver

RedisRESP beneath the cache client

+2 more Temporal dependencies

An example shape of a captured call. Your own endpoints and dependencies come from your real traffic, so nothing here has to be written by hand.

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Mock coverage

What Keploy mocks for Temporal, with zero config

5 of the 6 dependencies a typical Temporal service talks to are stubbed from the recording itself — no mock classes, no fixture files, no containers in CI.

Outbound HTTP
Auto-mocked
Outbound HTTP
Every outbound HTTP call
Partial
gRPCView page
HTTP/2 frames from a gRPC client
Auto-mocked
PostgreSQLView page
Postgres protocol beneath the driver
Auto-mocked
RedisView page
RESP beneath the cache client
Auto-mocked
MongoDBView page
Wire protocol beneath the Mongo driver
Auto-mocked
Apache KafkaView page
Kafka protocol beneath the client

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Quick start

Your first Temporal test suite in under five minutes

Every command below runs against your existing Temporal service. Nothing in your source tree changes.

1
1Install the Keploy CLI
A single binary. It needs a Linux kernel with eBPF support, or Docker on macOS and Windows — and it adds nothing to your project's dependencies.
curl -sSL https://keploy.io/install.sh | bash
2
2Record your service
Pass the command you already use to start the app. Keploy runs it and watches every socket it opens.
keploy record -c "<your app start command>"
3
3Exercise the paths you care about
Use curl, your frontend, or an existing smoke script. Every request becomes a test case with its Temporal calls captured alongside it.
curl -X POST localhost:8080/orders/o-1/confirm
curl localhost:8080/orders/o-1
4
4Replay in CI
Replay serves the recorded dependency responses, so the job needs no service containers and no Docker daemon.
keploy test -c "<your app start command>" --delay 10