Påmin Memory is a plug-in memory layer for any AI agent. Model-agnostic. Cross-session, cross-device, cross-agent. Remember everything — and cut 50–90% of your token bill while you're at it.
Models re-process identical context every call. Without an external memory, the same facts, the same history, the same preferences travel across the wire again and again. 50–90% of that bill is redundant.
The handful of agents that do "remember" keep capped scratchpads of user facts. New notes overwrite old ones. There is no semantic index, no version history, no way to ask what changed.
Switch models, switch agents, switch devices — memory does not come with you. Every session is an island. Intelligence that never compounds across the tools a person actually uses.
Påmin speaks the open standard for AI agents — whether it's Claude Desktop, ChatGPT, Cursor, OpenClaw, a companion, a tutor, or something you built yourself. Plug it in once; every agent gets the same four capabilities, working against the same personal memory.
write memoryread memorytemporal versioningdelete memoryThe same memory layer, different rooms of the archive. Switch the agent on the right; the same facts surface in a different voice.
read_memory({ user_id: "9b4a…e2", query: "pick up where we left off", limit: 6 })Reply · in agent voice
Welcome back. I've queued the mobile UI fixes you flagged Saturday — and I'll keep replies concise the way you prefer.
Hit: reply.style v3 (chain v1→v2→v3) · project.mobile-ui v3 · session S4 · TZ Sydney
Cross-session memory for the category — Claude Desktop, Cursor, OpenClaw, the coding copilots. The agent stops meeting you for the first time every morning.
Relationships that compound. AI coaches, tutors, language partners whose context persists for months — not the length of one thread.
Long-form systems that hold a cast of characters straight, keep foreshadowing alive across chapters, keep your voice on the page across every draft.
Every NPC with a memory of every player. Every autonomous agent that learns once and keeps it — the groundwork for AAA-grade NPCs and real-world agent deployments that compound competence.
Drag the slider. Watch raw LLM cost compound with conversation length while Påmin flatlines. That's the shape of memory.
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.
An agent that remembers yesterday is smarter today. We're obsessed with the compounding loop — where each interaction makes the next one better, forever.
Complex systems behind simple interfaces. We absorb the complexity of temporal reasoning, conflict resolution, and relevance — so integration is effortless.
We didn't start writing marketing until the plumbing was real. The core is done, in Rust, running. Drag the cursor to scrub the roadmap.
Rust core, three-tier cache, live knowledge graph with temporal version tracking. The plumbing is done. Five months of it.
GitHub release of the open-source tier. First integration lands on OpenClaw agents. Closed-loop beta opens alongside.
Privacy-first one-install build for Ollama and local-model users. Beta access for creative-writing, companion-chat, and education pilots.
Fully managed cloud tier with cross-device sync. First enterprise contracts landing on private deployments.
Try the live playground below — ask the memory layer what it knows about you. Then join the dispatch list to follow the open-source alpha, the local buyout, and the managed cloud tier.