Blazing Queries
Sub-millisecond query response from SingleStore powers agent decisions without any delay
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Watch it directly ↗Deploy autonomous AI agents that tap into SingleStore's real-time data engine. Lyzr makes it seamless to build, launch, and scale intelligent agents across your enterprise.
When your data responds in sub-milliseconds, your AI agents think faster too. Lyzr pairs its agentic framework with SingleStore's unified engine to deliver decisions at the speed your business demands.
Sub-millisecond query response from SingleStore powers agent decisions without any delay
Vector, relational, and JSON data converge in one store giving agents richer context
Scale your AI agents across growing workloads without watching performance slip or degrade in any way
Enterprise-grade data isolation and compliance woven into every agent interaction
Agents retain and recall context using SingleStore's durable distributed storage layer
From catching fraud in real time to personalizing every customer touchpoint, AI agents on SingleStore turn live data into measurable business outcomes across industries.
Agents query live transaction streams on SingleStore to flag fraud in milliseconds
Real-time product recommendations driven by unified customer profiles stored in SingleStore tables
Autonomous agents monitor live operational feeds and resolve infrastructure issues before teams even notice
Your data is already fast. Now let it think, act, and resolve on its own with intelligent agents.
Agents reason over streaming data with no latency, delivering decisions your teams can trust instantly
Storage, retrieval, and agent execution live in one unified environment so nothing falls between the cracks
Co-locate agents and data inside SingleStore to cut overhead and simplify your operational architecture
Go from prototype to live deployment in days instead of dragging through months
Lyzr agents become sharper when they sit on SingleStore. From semantic memory to multi-agent coordination, every capability runs faster on a real-time data backbone.
Native vector similarity search inside SingleStore gives agents fast semantic memory and recall
Multiple agents share a single SingleStore data layer and coordinate without conflict or drift
Agents invoke external APIs and write structured results straight back into SingleStore tables
Long-term memory backed by SingleStore's distributed storage ensures agents remember context across sessions reliably
Agents react instantly to live data pipelines being ingested into SingleStore in real time
| Feature | Generic Platforms | Standalone Bots | Lyzr |
|---|---|---|---|
| Real-Time Data Flow | Batched or delayed | Basic query support | Native sub-ms data access |
| Unified Vector and SQL | Separate tools needed | SQL only typically | Built-in unified store |
| Agent Memory Layer | External store only | Session-bound memory | SingleStore-native durable |
| Orchestration | All manual wiring | Single bot execution | Multi-agent orchestrated |
| Data Security | Add-on after setup | Minimal encryption | Full enterprise compliance |
| Time from Code to Deploy | Weeks of effort | Days with tradeoffs | Production-ready in days |
| Tool and API Calling | Limited scope | Hardcoded calls | Dynamic tool integration |
| Streaming Ingestion | Requires pipelines | Manual integration | Live streaming ingestion |
| Enterprise Compliance | Partial at best now | Not enterprise grade | Governance built into core |
| Horizontal Scaling | Costly to attempt | Vertical scaling | Elastic horizontal scale |
Lyzr is purpose-built to work with SingleStore's real-time data architecture natively
Build and ship AI agents on SingleStore without needing deep infrastructure or DevOps expertise
Monitor every agent action, query, and decision outcome through a built-in observability dashboard
Extend agent logic, plug in custom tools, and retain full data ownership without any vendor lock-in
Engineering teams at logistics firms, fintech companies, and retail enterprises rely on Lyzr agents running on SingleStore to power decisions that move their business forward every day.
Before Lyzr, our operations team spent hours triaging incidents manually. Once we deployed AI agents on SingleStore through the Lyzr platform, resolution time dropped by sixty percent. The agents query live shipment and sensor data in real time, make autonomous decisions, and escalate only when needed. It freed our engineers to focus on strategic work instead of firefighting.
VP of Data · Global Logistics SaaS Company
Data exfiltration incidents
Link your SingleStore instance to Lyzr's agent platform in just a few minutes
Define agent goals, assign tools, and set memory schemas aligned to your use case
Launch agents against live SingleStore data and validate every output in real time
Track agent performance through dashboards and scale horizontally as data volume grows
AI agents on SingleStore are autonomous software programs that query, reason over, and act on data stored inside SingleStore in real time. Lyzr provides the agent framework that orchestrates these actions, while SingleStore delivers the sub-millisecond data access agents need to make fast, accurate decisions. Together they create intelligent workflows that operate without constant human oversight or manual triggers.
Traditional automation follows rigid rules. AI agents on SingleStore reason autonomously over live data, adapting their behavior based on context. They query SingleStore's unified storage in real time, weigh multiple data signals, and choose actions dynamically. This makes them far more capable of handling complex, evolving business scenarios than any static rule engine.
SingleStore combines vector, relational, and JSON data in one unified engine with sub-millisecond response times. This eliminates the need for agents to query multiple disconnected databases. It also supports native vector search for semantic memory, making it a natural fit for intelligent agents that need speed, context depth, and scale.
Absolutely. AI agents on SingleStore react to streaming data as it arrives. SingleStore supports real-time ingestion pipelines, meaning agents can monitor, query, and respond to fresh data the moment it lands. This makes them ideal for use cases like live fraud detection, operational monitoring, and dynamic pricing where every second matters.
You can build a wide range of agents including RAG agents for knowledge retrieval, task agents that execute multi-step workflows, and monitoring agents that watch live data feeds. Lyzr's framework lets you define goals, assign tools, and connect memory schemas so each agent type operates with the right context from SingleStore.
Lyzr stores agent memory directly inside SingleStore using its native vector and relational capabilities. This means agents retain context across sessions with fast recall speeds. Unlike external memory stores that add latency and complexity, SingleStore-native memory keeps everything co-located, durable, and instantly accessible for every agent interaction.
Yes. SingleStore provides enterprise-level security including encryption at rest and in transit, role-based access controls, and data isolation. When paired with Lyzr's governance features, every agent action is auditable and compliant. This makes the combined stack suitable for regulated industries like finance, healthcare, and government where data protection is non-negotiable.
Most teams go from initial setup to production-ready agents within days. Lyzr's low-code builder simplifies agent configuration while SingleStore's managed infrastructure removes backend complexity. You connect your data, define agent behavior, test against live queries, and deploy without lengthy integration cycles or deep DevOps involvement.
Yes, Lyzr supports multi-agent orchestration on a shared SingleStore instance. Each agent accesses the same data layer concurrently without conflicts thanks to SingleStore's high-concurrency architecture. This lets you run specialized agents for different tasks like retrieval, monitoring, and action execution all pointing at one unified data source.
Financial services, retail, logistics, and healthcare see the strongest results. Fintech firms use agents for real-time fraud detection. Retailers drive personalized recommendations. Logistics companies automate operational monitoring. Healthcare organizations accelerate clinical data workflows. Any industry with high-velocity data benefits from this stack.
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