Meet ZeroDB
Unified AI-Native Serverless Database
One API for relational, vector, event, memory, and cost-optimized vector storage with quantum compression. API-first and MCP-compatible for agent orchestration.
Base URL: https://api.ainative.studio/v1
# Store vector embeddings
curl -X POST https://api.ainative.studio/v1/public/{project_id}/database/vectors/upsert-batch \
-H "X-API-Key: your-api-key" \
-H "Content-Type: application/json" \
-d '{
"vectors": [{
"id": "doc1",
"values": [0.1, 0.2, 0.3],
"metadata": {"text": "AI content"}
}]
}'
# Semantic vector search
curl -X POST https://api.ainative.studio/v1/public/{project_id}/database/vectors/search \
-H "X-API-Key: your-api-key" \
-H "Content-Type: application/json" \
-d '{
"query_vector": [0.1, 0.2, 0.3],
"top_k": 10,
"include_metadata": true
}'What is ZeroDB?
The world's first AI-native serverless database combining vector storage, relational data, event streaming, and agent memory in one unified API.
Vector Database
Store and search high-dimensional vectors with lightning-fast similarity search.
Real-time Events
Stream events and build reactive applications with our event store.
Enterprise Security
SOC 2 Type II compliant with end-to-end encryption.
Global Edge
Deploy to 200+ edge locations for sub-10ms latency worldwide.
ZeroMemory for AI Agents
Multi-tier cognitive memory with auto-consolidation, importance-weighted decay scoring, and 100% Recall@1 on the LongMemEval benchmark (ICLR 2025).
Working Memory
Active task context kept in fast-access storage for ongoing reasoning chains.
Episodic Memory
Past interactions and session history with temporal ordering and decay scoring.
Semantic Memory
Long-term knowledge base with importance-weighted consolidation and retrieval.
Six Memory API Methods
100% Recall@1
LongMemEval benchmark — ICLR 2025
# Store a memory
POST /api/v1/public/memory/v2/remember
{
"content": "User prefers dark mode and Python"
}
# Recall semantically
POST /api/v1/public/memory/v2/recall
{
"query": "what are the user's preferences?"
}Context Graph
15 graph endpoints for entity extraction, multi-hop traversal, hybrid GraphRAG search, and decision trace logging — all in one unified graph API.
Auto Entity Extraction
3-tier pipeline: Regex → GLiNER → LLM for robust entity recognition at any scale.
Knowledge Graph
Typed entities and relationships with temporal validity and contradiction detection.
GraphRAG
Hybrid vector + graph search combining semantic similarity with graph traversal.
Decision Traces
Agents learn from past reasoning — log, replay, and improve decision chains.
Entity Deduplication
Exact, fuzzy, and semantic matching to keep your knowledge graph clean.
17 Domain Ontologies
Pre-built ontology templates for finance, healthcare, legal, tech, and more.
# GraphRAG query — hybrid vector + graph
POST /api/v1/public/memory/v2/graph/graphrag
{
"query": "who works at Acme?",
"graph_weight": 0.3
}
# Auto-infer ontology from entities
POST /api/v1/public/memory/v2/graph/ontology/infer
{
"sample_entities": ["Alice", "Acme Corp"],
"domain_hint": "corporate"
}15 Graph Endpoints
MCP Integration
Two MCP servers giving your AI IDE direct access to ZeroDB — from agent memory to full database operations, all from natural language.
zerodb-memory-mcp
npm i ainative-zerodb-memory-mcp
6 focused tools for agent memory — remember, recall, search, embed, and manage context windows.
zerodb-mcp-server
pip install zerodb-mcp
77 tools for complete database access — vectors, tables, events, files, memory, and graph operations.
Supported IDEs
npx zerodb-cli initFramework Integrations
Works with the tools you already use — LangChain, LlamaIndex, MCP servers, or plain REST.
LangChain
Drop-in vector store for LangChain RAG pipelines.
pip install langchain-zerodbLlamaIndex
Native LlamaIndex vector store integration.
pip install llama-index-vector-stores-zerodbZeroDB CLI
Initialize and manage ZeroDB projects from the terminal.
npx zerodb-cli initPython MCP
77-tool MCP server for Python environments.
pip install zerodb-mcpnpm MCP
6-tool memory MCP server for Node.js IDEs.
npm i ainative-zerodb-memory-mcpREST API
Any HTTP client — no SDK required.
curl https://api.ainative.studio/v110 API Capabilities
Everything you need to build AI applications
Vector Search
Semantic similarity search with HNSW indexing
NoSQL Tables
Flexible schema-less document storage
SQL Queries
Full SQL support with PostgreSQL compatibility
Event Streaming
Real-time event store and subscriptions
Agent Memory
Persistent memory for AI agents
File Storage
S3-compatible object storage
Dedicated PostgreSQL
NewManaged Postgres with pgvector and row-level security
Quantum Enhanced
NewQNN compression for up to 4x storage efficiency
Built for Production Scale
Numbers that matter when you're shipping AI products to real users.
Built for AI Applications
From RAG pipelines to multi-agent swarms — ZeroDB handles every AI data pattern.
RAG Applications
Document Q&A with semantic search and vector retrieval. Combine full-text and vector hybrid search for maximum recall.
AI Agent Memory
Persistent multi-tier memory across sessions. Working, episodic, and semantic memory with auto-consolidation.
Multi-Agent Swarms
Shared or isolated memory coordination across agent networks. Namespaced access with full audit trails.
Knowledge Graphs
Entity extraction and multi-hop graph queries. Build dynamic knowledge bases that evolve with your data.
Recommendation Systems
Behavior tracking and semantic similarity scoring. Power personalized recommendations with vector embeddings.
Semantic Search
Full-text and vector hybrid search in one API call. No need to manage separate search and vector systems.
How We Compare
No one else offers all six: Vectors + Graph + Temporal + Traces + MCP + Serverless
| Feature | ZeroDB | Pinecone | Mem0 | Zep / Graphiti |
|---|---|---|---|---|
| Vector search | ||||
| Knowledge graph | — | Basic | ||
| Decision traces | — | — | — | |
| GraphRAG | — | — | — | |
| Free embeddings | — | — | — | |
| MCP server | 77 tools | — | — | |
| Serverless | Cloud | Self-host | ||
| Domain ontologies | 17 | — | — | — |
Comparison based on publicly available documentation as of April 2026.
Simple Pricing
All plans include free embedding generation — saving you thousands in OpenAI API costs.
Save 50-80% vs alternatives. Pinecone + OpenAI embeddings typically costs $200+/mo. Supabase + pgvector starts at $75+/mo. ZeroDB includes embeddings FREE.
Works with the tools you already use
“ZeroDB replaced 4 different services in our stack. Vector search, document storage, event streaming, and agent memory — all in one API. Setup took 10 minutes.”
Senior AI Engineer
Y Combinator startup
“The MCP server integration is a game changer. My agents in Cursor can query, write, and search our knowledge base directly from the chat window.”
Founding Engineer
AI dev tools startup
“We migrated from Pinecone + OpenAI embeddings and cut our infrastructure bill by 70%. ZeroDB's free embeddings alone paid for the switch.”
CTO
Series A AI company
Developer Resources
Everything you need to ship faster.
API Docs
Complete reference for all endpoints.
Getting Started
Up and running in under 15 minutes.
GitHub
Open source SDKs and examples.
Changelog
New features and improvements.
Community
Discord for developers and builders.
Blog
Tutorials, guides, and use cases.
Also building on the AINative platform? Explore ainative.studio for LLM routing, agent orchestration, and the Echo developer program.
Deploy your first ZeroDB instance in under 60 seconds
Free for developers. Scales when you do.
Launch ZeroDB