Autonomous AI Agents That Think, Collaborate, and Act in Real-Time
StreamNative Agent Engine turns isolated AI agents into a connected, intelligent mesh—enabling real-time orchestration, dynamic workflows, and scale without silos.
Why Most Enterprise AI Initiatives Fail
Fragmented Intelligence
Siloed agents, stale context, and no shared memory hold teams back.
Developer Pain
Bespoke connectors and fragile pipelines make AI hard to deploy and scale.
Enterprise Risk
Limited visibility, duplicated logic, and high operational cost raise red flags.
The Intelligent Data Backbone for Autonomous AI Agents
A unified, event-driven architecture to build, connect, and operate real-time AI agents at scale.
Event Bus
Streaming data as a shared context layer. Agents coordinate and act in real-time. “Your context highway.”
Runtime
Agents and Functions run in an event-driven mesh, distributed by default.
Tools
Functions and agents become callable tools—used on demand, discovered via MCP.
Streams & Queues - One Event Backbone
Give every agent fresh, millisecond-level context while powering massive-scale task queues—all in one unified platform. Pulsar topics offer native ordering and replay, and Ursa makes them Kafka-compatible out of the box.
Streams
Real-time state, event sourcing, time-travel replay
Queues
Elastic task execution at 1M+ msgs/sec
Control Plane
Unified governance, QoS, and observability
From Functions to Fully Autonomous
Start with Pulsar Functions. Scale to autonomous, event-driven agents with a flip of a switch. StreamNative Agent Engine powers both single-agent use cases and distributed multi-agent systems.
No Bottlenecks
Built to scale—fully distributed
No Single Point of Failure
Resilient by design
Composable Tasks
Break complex logic into atomic steps
Queues
Dynamic Flow: Agents route tasks based on context
Control Plane
Open by Default: Integrate with LangChain, Google ADK, OpenAI, and more
Every Tool, One Registry
MCP (Model Context Protocol) makes APIs plug-and-play. With the StreamNative MCP Server, agents instantly discover and use connectors, functions, and tools—no glue code required.
Plug in RAGs, vector DBs, and APIs instantly
Agents auto-discover and invoke tools with MCP schemas
Onboard new data sources in seconds—zero code needed
Own Your Data. Own Your Agents.
Deploy in your own cloud, retain full data control, and generate verifiable audit trails for every autonomous decision.
End-to-end encryption (in transit and at rest)
Role-based access control
Searchable audit logs for every agent action
Demos
Learn more →Video
MCP ServerQuery Pulsar or Kafka clusters in plain English—inspect topics, consumer lag, throughput, and even create new subscriptions on the fly.
Video
Agent EngineSee a fully autonomous incident‑response swarm: agents detect an outage, diagnose root cause, and push a remediation—all within seconds.
Resources
Blog
From Functions to Agents: What Changes in the RuntimeDiscover how cloud runtimes evolve from stateless serverless functions to persistent, event-driven agents. Learn the key shifts in execution, state management, and streaming infrastructure that enable intelligent, always-on applications.
Blog
The Event‑Driven Agent Era: Why Streams Matter NowDiscover why event-driven data streams are essential for the new era of agentic AI. This post explores the limitations of traditional architectures and how streaming platforms enable scalable, real-time AI agents for enhanced communication and responsiveness.
Blog
One Bus, Many Voices: Why Protocol Flexibility Matters for AI AgentsDiscover how Apache Pulsar's flexible protocol architecture enables diverse AI agents and systems (Kafka, MQTT, AMQP, etc.) to communicate on a single event bus, reducing system sprawl and accelerating development compared to single-protocol alternatives.
Get Early Access to the Future of AI Infrastructure
Be among the first to build real-time autonomous agents on a production-grade, event-driven platform.