Your AI's Brain Deserves
a Nervous System.
You're building agentic apps where data structures evolve with every prompt. Your infrastructure can't be a bottleneck. AgenticSQL turns your AI's intent from LangChain models to Bedrock agent artifacts into a production-grade PostgreSQL foundation that adapts as you build.
Prototype Your Data Layer in Seconds
Skip the whiteboarding and YAML files. Describe your entities and relationships in plain English, and our Agentic AI will generate a production-ready PostgreSQL blueprint. Instantly.
A Real Backend, For Your AI's Brain
Your AI agents are only as smart as their memory. Stop storing conversational context in JSON files and ephemeral logs. AgenticSQL gives your agents the persistent, queryable PostgreSQL foundation they need to learn, remember, and scale into production‑grade intelligence.
The Intelligence You Unlock
Works Inside Your Favorite
Agentic Development Environment
AgenticSQL integrates seamlessly into the AI powered IDEs and development environments where you're already building. Run npx @agenticsql/cli from any terminal whether it's inside Kiro, Cursor, or your local VS Code setup and get instant access to production grade PostgreSQL hosted on our infrastructure in 90 seconds.
One CLI command. Any terminal. Any agentic IDE. Production PostgreSQL on AWS in 90 seconds.
We Don't Read Your Code.
We Understand Your Intent.
AgenticSQL is the first intent-to-infrastructure platform. We analyze your AI project's language and schema artifacts to generate an optimal managed PostgreSQL database for every use case.
Connect Your AI Project
Our analysis engine examines your Pydantic models, LangChain chains, and agent definitions to deeply understand your data needs.
The Agent Generates Your Schema
Our AI generates the optimal PostgreSQL schema, understanding relationships between your data, embeddings, and agent state.
Your Managed Database is Ready
In 90 seconds, we provision your database on our infrastructure and provide connection credentials. Enterprise-grade PostgreSQL, zero configuration.
The Database That Thinks Like Your Agents
Stop forcing AI workflows into traditional database constraints. AgenticSQL automatically optimizes for conversational memory, vector similarity, and agent state persistence with zero configuration overhead.
Intent analysis to live PostgreSQL. Production-ready in ninety seconds flat.
Pydantic models drive database evolution. Automatic migrations without manual SQL.
Vectors, JSON, text, relations unified. One database for all memory.
Schema evolves as agents learn. Zero downtime for production systems.
VPC isolation and compliance ready. Production security without extra config.
Store complete agent memory forever. Never truncate context for tokens.
Native LangChain and Bedrock integration. Built specifically for AI frameworks.
From one to thousands of agents. Automatic scaling without manual tuning.
All capabilities optimized for AI workloads. AgenticSQL automatically provisions the ideal database configuration for your agents' memory patterns and interaction flows.
Why AI Builders Choose Us
Real frustrations from developers building with AI tools. Backend complexity, surprise bills, and setup nightmares shouldn't block your AI project. We're solving these exact problems.
AI Builder Questions, Answered
Yes! AgenticSQL automatically configures pgvector extension and creates optimized indexes for your embeddings. Whether you're using OpenAI's 1536-dim embeddings or custom vectors, we handle the setup, indexing (IVFFlat/HNSW), and query optimization automatically.
AgenticSQL generates a production PostgreSQL database that works seamlessly with LangChain's SQLDatabase and LlamaIndex's PostgreSQL vector store. We provide the connection string, you plug it into your framework. No custom adapters, no vendor lock-in—just standard PostgreSQL.
Absolutely. That's the whole point. AgenticSQL provisions PostgreSQL with pgvector, so you can store user data, conversation history, embeddings, and agent state all in one place. No more juggling Pinecone for vectors and Postgres for data.
Change your Pydantic models or TypedDicts and run the CLI again. AgenticSQL generates non-destructive ALTER TABLE migrations automatically. Your agent can evolve without manual schema management or data loss.
AgenticSQL pricing starts at $29/month for development workloads. Production pricing scales with your database usage, not per-vector or per-query. Typical RAG applications with 100K documents cost $89-149/month. No surprise bills, transparent usage-based pricing.
Yes. AgenticSQL runs on enterprise-grade managed PostgreSQL infrastructure with automatic backups, monitoring, and scaling. We handle millions of vectors, thousands of concurrent agents, and sub-100ms similarity search. Same reliability powering production AI applications.
Perfect fit! AgenticSQL works with any framework or service that connects to PostgreSQL. Your Bedrock agents get a standard database connection string—store agent state, conversation history, and knowledge base embeddings all in one place.
AgenticSQL generates standard PostgreSQL with pgvector, so migration is straightforward. Export your vectors from Pinecone, load them into your AgenticSQL database using standard SQL or Python scripts. We provide migration guides for common vector databases.