P Påmin Labs
Research Lab

We build memory for machines that think.

Påmin Labs is an applied research company developing persistent memory infrastructure for AI systems. We believe intelligence without memory is incomplete.

The Problem

Today's AI has no past.

Every conversation starts from nothing. Every agent session discards what came before. The industry has built remarkably capable reasoning engines — and given them collective amnesia.

1

Wasted computation

Models re-process identical context every call. Token budgets burn on information the system has already seen and understood.

2

Fabricated history

Without real memory, agents confabulate. They invent prior interactions that never happened and present fiction as record.

3

Zero accumulation

No learning from mistakes. No building on past successes. Each session is an island — intelligence that never compounds.

What We're Building

A memory layer for artificial intelligence.

Påmin is persistent memory infrastructure — an external system that stores, organizes, and retrieves knowledge across AI agent sessions. It sits alongside any model, any framework.

We handle the hard parts: temporal reasoning over memory, relevance-weighted retrieval, conflict resolution when memories contradict, and graceful forgetting of what no longer matters.

Your Agent

Any model, any framework

Påmin Memory

Store, reason, retrieve

Knowledge

Persistent, structured

Our Approach

Memory done right.

Bolting a vector database onto an LLM isn't memory — it's search. We're building something fundamentally different.

Temporal reasoning

Memory isn't a flat list. We model when things happened, how they relate across time, and which recollections are still relevant.

Relevance weighting

Not all memories are equal. Our retrieval ranks by contextual relevance — surfacing what matters for the current task, not everything ever stored.

Conflict resolution

When new information contradicts old, the system reasons about which to trust. Memories evolve as understanding deepens.

Graceful forgetting

Real memory involves letting go. We implement principled decay — stale and superseded information fades, keeping the knowledge base clean.

Model agnostic

Works with any foundation model, any agent framework. Påmin is infrastructure, not an opinionated wrapper. Swap models without losing memory.

Production grade

Sub-50ms retrieval. 99.9% uptime. Built for systems that run in production, not demo notebooks. Real SLAs, real reliability.

0x

Token reduction

0%

Uptime SLA

<0ms

Retrieval latency

0

Vendor lock-in

Principles

What we believe.

Memory is infrastructure, not a feature.

Just as databases became a shared layer beneath applications, memory should be a shared layer beneath agents. We build the plumbing so you can focus on intelligence.

Intelligence compounds.

An agent that remembers yesterday is smarter today. We're obsessed with the compounding loop — where each interaction makes the next one better, forever.

Simplicity at the boundary.

Complex systems behind simple interfaces. One API call to store. One to retrieve. We absorb the complexity of temporal reasoning, conflict resolution, and relevance — you get clean data back.