Meet Us at DES 2026
Book a Meeting at the Booth!
Meet Us at DES 2026
Book a Meeting at the Booth!
Meet Us at DES 2026
Book a Meeting at the Booth!
Condense
Developers
Company
Resources
Pricing
Book a Demo
Try For Free
Condense
Developers
Company
Resources
Pricing
Try For Free
Condense
Developers
Company
Resources
Pricing
Book a Demo
Try For Free

Build Your Code. Manage Your
Clusters. Audit Your Streams.

Build Your Code. Manage Your
Clusters. Audit Your Streams.

Build Your Code. Manage Your Clusters. Audit Your Streams.

Turn complex technical intent into finished results with a specialized AI workforce. One supervisor coordinates expert agents to deliver production-ready systems in seconds

Turn complex technical intent into finished
results with a specialized AI workforce.One supervisor coordinates expert agents to deliver production-ready systems in seconds

Explore Agents
Explore Agents
Start Free Trial
Start Free Trial

How Do These Agents Talk to Vapr™

A SINGLE POINT OF COMMAND

A SINGLE POINT
OF COMMAND

You provide the goal to Vapr, which functions as an autonomous supervisor to orchestrate the right mix of L1 specialists and L2 architects for the task

REAL-TIME DATA EXCHANGE

REAL-TIME
DATA EXCHANGE

Agents talk to each other through Vapr to share context, such as using a Grafana alert to trigger a Kubernetes scaling action or a Git update

VERIFIED APPROVAL LOOP

VERIFIED
APPROVAL LOOP

The Vapr ensures that no agent acts alone; every technical resolution is cross-referenced against system’s state and requires final review of user

Meet Your Specialized Workforce 

From instant infrastructure audits to complex logical planning, Vapr directs a hierarchical team of experts to manage your entire data lifecycle

Kafka Agent

Data Streams & Cluster Health Expert

Real-time data retrieval from Kafka topics, schema management, and stream configuration

Topic Insight

Message Retrieval

Schema Registry

Consumer Analytics

Fetched messages from Kafka topic
“Stream Processing Analytics”

Partition : 6
Key : 6
Header : Empty
Offset : 19
Timestamp : 29 May 2025, 12:18 PM

Schema Metadata:

Fetched messages from Kafka topic
“Stream Processing Analytics”

Partition : 6
Key : 6
Header : Empty
Offset : 19
Timestamp : 29 May 2025, 12:18 PM

Schema Metadata:

Fetched messages from Kafka topic
“Stream Processing Analytics”

Partition : 6
Key : 6
Header : Empty
Offset : 19
Timestamp : 29 May 2025, 12:18 PM

Schema Metadata:

Kubernetes Agent

Supervisor for Cloud Infra & Containers 

Environment transparency, log aggregation & cluster
state reading by retrieving K8s pod, job & service details

Environment transparency, log aggregation & cluster state reading by retrieving K8s pod, job & service details

Resource Inspection

Deep Logging

Cluster Discovery

Registry Access

Monitoring Agent

Specialist for Alerts & Root Cause Analysis

Proactive diagnostics and RCA by analyzing Grafana
alerts and retrieving insights from Prometheus & K8s logs

Proactive diagnostics and RCA by analyzing Grafana alerts and retrieving insights from Prometheus & K8s logs

Automated RCA

Telemetry Access

Metric Discovery

Target Health

Developer Agent

Architect for Custom Logic & Git integration 

Turning high-level logic into production-ready code and repository management

Logic & Planning

Filesystem & Development

Git Integration

Direct Push

DEV AGENT

{
 "create": {},
 "select": {},
 "show": [
 {
 "@type": "streams",
 "statementText": "Show streams;",
 "streams": [
 {
 "type": "STREAM",
 "name": "TES101",
 "topic": "newUAT",
 "keyFormat": "KAFKA",
 "valueFormat": "JSON",
 "isWindowed": false
 }
 {
 "type": "STREAM",
 "name": "TES101",
 "topic": "newUAT",
 "keyFormat": "KAFKA",
 "valueFormat": "JSON",
 "isWindowed": false

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

DEV AGENT

{
 "create": {},
 "select": {},
 "show": [
 {
 "@type": "streams",
 "statementText": "Show streams;",
 "streams": [
 {
 "type": "STREAM",
 "name": "TES101",
 "topic": "newUAT",
 "keyFormat": "KAFKA",
 "valueFormat": "JSON",
 "isWindowed": false
 }
 {
 "type": "STREAM",
 "name": "TES101",
 "topic": "newUAT",
 "keyFormat": "KAFKA",
 "valueFormat": "JSON",
 "isWindowed": false

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

DEV AGENT

{
"create": {},
"select": {},
"show": [
{
"@type": "streams",
"statementText": "Show streams;",
"streams": [
{
"type": "STREAM",
"name": "TES101",
"topic": "newUAT",
"keyFormat": "KAFKA",
"valueFormat": "JSON",
"isWindowed": false
}
{
"type": "STREAM",
"name": "TES101",
"topic": "newUAT",
"keyFormat": "KAFKA",
"valueFormat": "JSON",
"isWindowed": false

1

2

3

4

5

6

7

8

9

10

11

12

13

14

15

16

17

18

19

20

21

Frequently Asked Questions

Vapr is an autonomous AI supervisor and intelligent routing interface within the Condense platform. It manages a hierarchical workforce where simple tasks are routed to L1 specialist agents for immediate action, while complex requirements are delegated to L2 agents for multi-step planning and logical design

AI Agents in Condense allow you to build code, manage clusters, and audit streams by turning complex technical intent into finished results. A single supervisor coordinates expert agents to deliver production-ready systems in seconds, reducing boilerplate code and manual infrastructure bottlenecks

Vapr acts as a centralized command layer for your infrastructure. You provide a high-level goal, and Vapr orchestrates the appropriate mix of L1 specialists and L2 architects by delegating specific technical responsibilities to each expert agent

Agents exchange data in real time through Vapr, allowing shared context across tools and workflows. For example, a Grafana alert can automatically trigger a Kubernetes scaling action or a Git update because agents continuously communicate findings back to the central supervisor

Yes. Vapr uses a verified approval loop to ensure system safety and operational transparency. No agent executes actions independently. Every technical resolution is validated against the live system state and requires final user review and approval before execution

The workforce includes several specialized agents, including: - Kafka Agent for stream operations - Kubernetes Agent for infrastructure management - Grafana Agent for diagnostics and monitoring - Coding Agent for application logic and development Each agent is designed to autonomously handle a specific layer of the data lifecycle and report results back to Vapr, with additional specialized agents continuously being added to expand the workforce capabilities

You can access the interface by clicking “Ask Vapr” or using the Command + K shortcut. Simply describe your intent in plain English, and Vapr will analyze the request, identify the required agents, and present a transparent execution plan for review and approval before deployment