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
Resources
Blog
StreamNative Agent Engine: Event-Driven Runtime for Real-Time AI AgentsDeploy, scale, and govern autonomous AI agents on a unified event bus. Discover how StreamNative Agent Engine brings real-time intelligence to enterprise workloads.
Blog
From Data Streaming to Agentic AI – Build a Real-Time Runtime for AI AgentsTrace the journey from batch and data streaming to Agentic AI, and learn why Pulsar Functions + MCP power a real-time AI agent runtime.
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Blog
Introducing the StreamNative MCP Server: Connecting Streaming Data to AI Agents The StreamNative MCP Server is an open-source project that connects streaming data platforms like Kafka and Pulsar to AI agents using the Model Context Protocol (MCP). It enables seamless, real-time AI integration by allowing agents to access, manage, and interact with live data streams through natural language, enhancing the capabilities and security of AI-driven workflows.
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.