Mumpix — SQLite for AI Workloads

https://www.mumpixdb.com/ • Mar 8, 2026 07:37

Extracto

Zero-config AI storage. Embedded, local-first, portable files. Predictable, crash-safe, replayable.

Resumen

Resumen Principal

Mumpix se posiciona como una innovadora solución de almacenamiento de IA de configuración cero, diseñada para mitigar la inherente falta de fiabilidad de los agentes de inteligencia artificial. Su objetivo es transformar el almacenamiento de IA en una infraestructura predecible, portable y confiable, emulando la simplicidad y robustez de SQLite pero optimizada específicamente para cargas de trabajo de IA. Aborda problemas críticos como el "olvido" de los agentes entre sesiones y la inconsistencia en los resultados, garantizando un comportamiento reproducible. Esto se logra mediante una consistencia verificada, que incluye registros inmutables y la capacidad de repetir instantáneas, lo cual es fundamental para auditorías y entornos regulados. Mumpix enfatiza una arquitectura local-first con el archivo de la base de datos como API, permitiendo su despliegue en cualquier lugar sin dependencias de la nube, y ofrece una búsqueda híbrida inteligente que combina criterios exactos, semánticos y temporales para una recuperación de memoria óptima.

Elementos Clave

Consistencia Verificada para Reproducibilidad: Mumpix implementa un modo de Consistencia Verificada que garantiza que "el mismo input siempre produce el mismo output retrievable". Esta característica es crucial para la auditabilidad, ya que proporciona registros inmutables, repeticiones de

Contenido

Launch Console

Zero-config AI storage.
SQLite for AI workloads.

Embedded, local-first, portable files. If you've ever watched an agent "forget" what it just learned — Mumpix makes your AI storage behave like real infrastructure: predictable, portable, and easy to trust.

No account No login required No cloud call Local file is the API

Single file DB · Crash-safe

demo.js consistency: strict

$ npm i mumpix $ node demo.js // demo.js const { Mumpix } = require("mumpix") const db = await Mumpix.open("./agent.mumpix", { consistency: "strict" }) await db.remember("You prefer short, direct answers.") const answer = await db.recall("What do I prefer?")

Output

→ "You prefer short, direct answers."

Replayable snapshots

The Problem

"If AI is smart, why does it feel unreliable?"

The same prompt producing a different result a day later. Agents that forget mid-session. Vector DBs that help retrieval but don't guarantee reproducibility.

Portable — The database file is the API. Ship it with your app.

Hybrid retrieval — Exact + semantic + time-aware queries.

Verified mode — Immutable logs + snapshot replay for audits.

Crash-safe — WAL protocol. A record is either there or it isn't.

agent.mumpix live

consistencyVerified

memories247

crash_safe✓ WAL

audit_log✓ immutable

offline✓ always

read_latency0.05ms

dependencies0

Premium isn't flashy. It's trustworthy.

Infrastructure-grade AI storage.

Designed to sit under your stack like SQLite: embedded, portable, and predictable.

Zero-Config

Start in minutes, not meetings.

No cloud setup, no dashboards, no fragile dependencies. A local file you can ship with your app, run on laptops, servers, or edge devices.

Portable Files

The database file is the API.

Write in isolation, read anywhere. Share it, back it up, migrate it — without coupling to any platform schema or hosted service.

Verified Consistency

Reproducible behavior you can defend.

Audit logs, snapshot replay, immutable history, and same-input → same-output. Designed for regulated environments.

Hybrid Search

Exact + semantic + time-aware.

TF-IDF cosine similarity blended with token overlap and recency scoring. Drop in your own embeddings when you need them.

Crash Safe

WAL protocol. kill -9 friendly.

After an ungraceful shutdown, a record is either fully present or fully absent — never partially written.

Framework Adapters

LangChain · LlamaIndex · CrewAI.

Lightweight adapters for the frameworks you already use. Raw API first — it never breaks — then layer on integrations.

Before and after Mumpix.

Calm, predictable AI storage.

× Agent memory breaks across sessions — teams bolt on ad-hoc stores

× Vector DBs help retrieval, but don't guarantee reproducibility

× When something goes wrong, you can't replay exactly what happened

× Cloud dependencies add latency, cost, and failure modes

✓ Embedded DB: one file, one dependency, works offline

✓ Hybrid retrieval: exact + semantic + time-aware queries

✓ Verified mode: immutable logs + snapshot replay for audits

✓ Local-first: no network required, zero infra overhead

Mumpix Frontend

Full-stack Mumpix controls in one place.

Run memory workflows, integrations, replay, and trainer tooling from a single frontend powered by MumpixDB.

Memory Console

Remember, recall, inspect

Write and query memory with deterministic behavior, then inspect keys and history in real time.

Durability Modes

Eventual, strict, verified

Switch modes and validate WAL + time-travel behavior directly from the frontend runtime.

Integrations

Developer-ready adapters

Run integration checks and connect your app pipelines to Mumpix using real API paths.

Skirmish Trainer

Train against real match data

Use ghost-match and simulation tooling to evolve strategies with measurable telemetry.

Frontend-First Memory

Offline by default

Run Mumpix in the browser runtime while preserving persistence and cross-tab sync behavior.

Production Ready

Operational visibility

Track runs, replay history, inspect failures, and tune workflows without rebuilding your stack.

MumpixFS

Universal file substrate for AI memory.

Upload files and folders, inspect deterministic 64KB chunk trees, create symbolic links, and export through MumpixFS from one branded control surface.

Chunk Model

Deterministic 64KB chunks

Every file becomes a predictable subtree with metadata, chunk count, and chunk keys that can be scanned and replayed.

Symbolic Links

Alias and route files safely

Use mumpix-links pointers to map stable paths like files^alias^report to real file subtrees.

Agent-Ready

File + memory in one tree

Bridge document content into memory namespaces so agents can resolve context with no extra adapter layer.

Live Playground

A real Mumpix instance in your browser.

Type commands, load scenarios. No install, no account — runs fully client-side.

// remember(), recall(), list(), clear(), audit(), stats() eventual

Memories

0 stored hits: 0

No memories yet.
Try remember("…")

Quick scenarios: ▶ Open Code Workspace

Pricing that matches risk.

Start local. Upgrade when you need it.

Community is for building. Paid tiers are for running production systems with stronger durability, visibility, and compliance guarantees.

Local

Community

$0/ forever

For experimentation, prototypes, and offline-first apps with zero setup.

✓Eventual consistency
✓Unlimited reads and writes
✓Portable .mumpix file
✓Offline-first, zero dependencies

Run demo

No signup friction. Seamless continuity across your device sessions.

FAQ

The goal is to sit under your stack like SQLite: embedded, portable, and predictable. Mumpix focuses on AI-friendly storage primitives — hybrid retrieval, time-aware queries, and reproducible behavior in Verified mode. A vector DB is a service you connect to. Mumpix is a file you ship with your app.

"Verified" is the consistency tier intended for audits: immutable logs, snapshot replay/export, and reproducible behavior. Designed for teams who must explain outcomes to regulators, customers, or internal security reviews. Same input always produces the same retrievable output.

Yes. The default experience is offline-first, with no required Mumpix API keys and no required cloud calls. The database file is portable and local. Airgap it, run it on edge devices, or ship it embedded in a desktop app.

After an ungraceful shutdown, a record is either fully present or fully absent — never partially written. Guaranteed by the WAL (write-ahead log) protocol. In Verified mode, paired with immutable logs and replayable snapshots so you can audit every state transition.

Yes — via lightweight adapters: MumpixVectorStore, MumpixChatMemory, MumpixRetriever for LangChain; MumpixIndex, MumpixReader for LlamaIndex. We recommend starting with the raw API first — it never breaks — then layer on framework integrations.

Ready to ship?
Real storage. Zero ceremony.

Invisible, reliable, always there.

Or try the live playground — no install required.