MaluDB memory system illustration

MaluDB backend as a service

MaluDB is the Memory DBMS for agentic applications.

Build AI products with MaluDB Knowledge Database, including governed LLM access, MCP tools, Active Memory Pools, Row Level Security, and Compartmentalized Hybrid Search.

DB
PostgreSQL corePortable by default
AI
Governed memoryClaims to Facts
MCP
MC2DBTool policy in SQL

A backend platform for data, context, tools, and model access.

Supabase popularized a developer platform around Postgres, auth, storage, functions, realtime, and vector search. MaluDB keeps that familiar BaaS shape and adds durable memory objects, provenance, validation, and AI-agent collaboration.

Source Packages become Claims. Validated Claims become Facts and Memory Objects. Repeated workflows become Skill Packages that agents can reuse under database policy.

Explore Memory Core
MaluDB reference architecture

Stop losing the reasoning behind your records.

MaluDB separates uncertain knowledge from accepted Facts, keeps links to source evidence, and records how reusable procedures are derived.

Explore Skill Packages
01

Ingest sources

Turn documents, messages, tickets, logs, and tables into Source Packages.

02

Extract Claims

Record what sources say without prematurely treating it as truth.

03

Promote Facts

Validate Claims into Facts with provenance, confidence, and valid-time windows.

04

Create skills

Convert repeated workflow traces into governed Skill Packages for agents.

One backend for memory-native applications.

Teams should not stitch together a vector database, graph store, object bucket, auth service, cron runner, and custom MCP gateway just to give agents reliable memory.

Every AI project is easier to scale when memory, provenance, retrieval, and access control are database primitives rather than application glue.