01 / STATE
Relational SQL
Store relational facts and application state with SQL, joins and ACID transactions.
The database
for AI agents.
Give agents the context they need to act. Run agents, workflows and your own code beside the data with Particles. Memory, state, coordination and analytics in one durable engine.
$
curl -fsSL https://get.particledb.ai | bashcontext before action
Better agents start
with better context.
An agent’s decisions depend on the data it receives. When context is scattered across systems, every task inherits the work of finding it, joining it and keeping it current.
ParticleDB brings relational facts, vector memory and live operational data into one engine. Prepare context with SQL. Apply your logic with Particles. Give the agent the information it needs for the next step.
Meet ParticleDB →DATA ENGINES
RelationalTables & transactions
Key-valueKeys & coordination
Vector searchMemory & retrieval
AnalyticsQueries on live data
ParticleDBOne durable engine
AgentsContext & state
WorkflowsSteps & coordination
ParticlesYour code beside data
the platform
One engine behind every step.
The data your agents need. The state your application depends on. The code that brings them together.
02 / COORDINATION
Key-value
Use Redis-compatible key-value structures for queues, locks, counters and rate limits, backed by the same durable engine.
03 / MEMORY
Vector search
Query vectors and relational facts together, with embeddings stored beside the data they describe.
04 / INSIGHT
Live analytics
Analyze operational data where it lives, with columnar execution, no ETL and no second copy.
05 / CODE
Particles
Bring your code beside the data with Particles: scoring, transforms and tools callable from SQL.
why one engine
Less glue. More building.
before / four systems
Your application keeps them aligned.
A relational database for state. A key-value store for coordination. A vector database for memory. A warehouse for analytics. Plus sync jobs and dual writes.
after / particledb
One shared foundation.
Serve all four workloads from one durable engine, with Particles running your code beside the data.
particles
Run agents and workflows
beside your data.
Bring your code to the data with Particles. Build tools, apply business logic and compose agent workflows where your data lives.
Write your function, load the module, then call it from a query.
The Python example requires a Python-enabled distribution. Check runtime availability before installing.
Explore Particles →How to load a module →Python example / agent_tools.py
from particledb import scalar
@scalar
def agent_priority(impact: float, confidence: float) -> float:
return impact * confidenceSQL / after loading the module
SELECT agent_priority(0.9, 0.8) AS priority;
-- 0.72built for your stack
Use the tools you already know.
PostgreSQL-compatible SQL for psql, JDBC and your ORM. Redis-compatible key-value access. Check the published clients and release versions for your application.
start building
Build your next AI agent on ParticleDB.
One durable engine for its memory, state, coordination, analytics and your code. Free for developers.
curl -fsSL https://get.particledb.ai | bashHTTP API: localhost:7173 · Web console: localhost:7174