Persistent Memory
Agents retain full conversational context stored natively in Supabase Postgres tables across sessions
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Watch it directly ↗Launch intelligent AI agents with Supabase as your backend. Handle auth, storage, real-time data, and persistent memory without stitching infrastructure together.
Supabase gives your AI agents a production-grade, open-source backend with Postgres, auth, and real-time capabilities. Reliable infrastructure so your agents perform at enterprise scale.
Agents retain full conversational context stored natively in Supabase Postgres tables across sessions
Real-time data subscriptions feed agents with fresh information so decisions never rely on stale inputs
Supabase Auth secures every agent interaction, verifying user identity and enforcing role-based access at each step
Supabase infrastructure scales automatically as your agent workloads grow without manual intervention
Agents read and write files through Supabase Storage with granular access policies for compliance
From resolving support tickets to automating internal workflows and powering SaaS features, AI agents on Supabase handle real business problems across industries.
Agents resolve tickets, route queries, and surface answers from Supabase-stored knowledge bases
Automate HR onboarding, finance approvals, and ops tasks using agents fed by live Supabase data
Product teams embed intelligent agents directly into their SaaS applications with Supabase as the persistent layer
Stop stitching backends together manually. Give your AI agents a single reliable foundation and ship with confidence.
Supabase manages database, auth, and storage so your engineering team focuses purely on agent logic
No vendor lock-in. Supabase is open-source, meaning your agent deployments stay portable and fully owned by you
Real-time Supabase subscriptions let agents respond to live data changes the moment they happen
Supabase RLS and Auth protect every data interaction your agents perform at granular precision
Postgres, Edge Functions, Realtime subscriptions, Auth, and Storage form the complete technical stack your agents leverage from day one inside Lyzr.
Native pgvector support powers semantic memory and RAG pipelines so agents recall context intelligently
Supabase Edge Functions act as lightweight execution environments where agent logic runs close to users
Shared Supabase tables allow multiple agents to coordinate, delegate, and collaborate on complex workflows
Agents read and write structured Postgres data through auto-generated APIs without requiring custom backend development work
Every agent decision and action is logged for compliance reviews, debugging, and performance analysis
| Feature | Generic AI Backends | Custom Backends | Lyzr |
|---|---|---|---|
| Vector Memory Access | Partial or missing | Requires custom setup | Native pgvector integrated |
| Real-Time Data Streaming | Requires manual polling | Manual implementation | Built-in Supabase Realtime |
| Auth and Row-Level | External auth needed | Separate auth layers | Supabase Auth plus native RLS |
| Portability | Vendor lock-in risk | Tied to your codebase | Fully open-source portable |
| Agent Scaling | Limited auto-scale | Manual provisioning | Automatic elastic scaling |
| Multi-Agent Task Orchestration | Not natively built | Custom-engineered | Shared-table agent framework |
| Edge Deployment Support | Cloud region only | Heavy DevOps lift | Supabase Edge Functions ready |
| Observability Depth | Basic log outputs | Self-built dashboards | Complete observability suite |
| Structured Data Access | Custom API required | Hand-coded endpoints | Auto-generated Postgres APIs |
| Compliance Logging | Minimal tracking | DIY audit system | Enterprise compliance built-in |
Lyzr connects directly to every Supabase service layer without middleware or glue code
Support for ReAct, RAG, and multi-agent architectures on Supabase gives teams full design freedom
Open-source Supabase paired with Lyzr means your entire AI agent stack remains fully portable always
Dedicated support, SLAs, and priority engineering assistance for Supabase-powered agent deployments at enterprise scale
Engineering teams across SaaS, fintech, and healthcare trust Lyzr to power their AI agents on Supabase. From startups shipping fast to enterprises scaling reliably.
We went from a rough prototype to production AI agents in under two weeks. Supabase gave us the backend reliability we needed and Lyzr removed all the orchestration complexity. Our team cut setup time by seventy percent and now ships agent features weekly instead of quarterly. This stack changed how we build.
VP of Engg · B2B SaaS Platform Mid-Market
Data exfiltration incidents
Connect your Supabase project credentials and database to Lyzr in a single step
Set agent goals, attach tools, configure memory type, and define data access policies
One-click deployment with integrated testing validates agents against live Supabase data instantly
Use the observability dashboard to monitor agent performance, spot issues, and iterate fast
AI agents on Supabase are intelligent software programs that use Supabase as their backend infrastructure. They store memory in Postgres, authenticate users through Supabase Auth, and access real-time data via subscriptions. Lyzr provides the agent framework layer so you can build, deploy, and manage these agents without assembling the backend yourself. It is a complete production-ready stack.
Start by connecting your Supabase project to Lyzr using your credentials. Then configure your agent with goals, tools, memory settings, and data access rules. Deploy with one click and test against live Supabase data. The entire process from connection to production takes minutes, not weeks.
Yes. Supabase supports pgvector natively, enabling semantic search and vector-based memory retrieval. Agents store conversation history and contextual embeddings directly in Postgres tables. This powers RAG pipelines and long-term agent memory without needing separate vector database infrastructure.
Supabase offers Row Level Security and built-in authentication that governs every data interaction. Lyzr enforces these policies at the agent layer, ensuring agents only access data they are authorized to see. Combined, this creates a governance framework suitable for regulated industries and sensitive workloads.
Absolutely. Supabase infrastructure scales horizontally with managed Postgres and automatic provisioning. Lyzr adds enterprise SLAs and dedicated support to ensure agent deployments handle growing volumes without degradation. Whether you run ten agents or ten thousand, the stack adjusts to meet your demand seamlessly.
Yes. Lyzr supports multi-agent orchestration where agents share Supabase tables for coordination and task delegation. Each agent can have distinct roles while reading from and writing to common data sources. This pattern enables complex workflows like approval chains, escalation routing, and collaborative analysis.
They can. Supabase Realtime lets agents subscribe to database changes and trigger actions the moment new data arrives. This enables reactive behaviors like instant alert responses, dynamic recommendations, and live workflow adjustments. Lyzr connects agent logic to these real-time channels without custom WebSocket engineering on your end.
Building custom backends requires assembling auth, database, vector storage, real-time infrastructure, and observability separately. Lyzr on Supabase delivers all of this pre-integrated. Teams report cutting setup time by over seventy percent while gaining production-grade reliability. You skip months of DevOps work and ship agents in days instead.
Lyzr supports GPT-4, Claude, Gemini, and popular open-source models. Your choice of language model does not affect the Supabase integration at all. Switch models freely based on cost, performance, or compliance requirements without reconfiguring your backend. This gives teams the flexibility to optimize agents over time.
Lyzr offers a free tier that lets you connect a Supabase project and deploy your first agents immediately. Enterprise plans include dedicated support, custom SLAs, and advanced observability features. You can begin building in minutes with no upfront commitment and scale pricing as your agent usage grows.
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