Greymemory

• An agent that forgets what you told it last week, or answers with a fact that changed two months ago, doesn't read as "buggy" — it reads as not very smart.
• A wrong answer you can catch and correct. But agents don't just answer any more — they act, and an action taken on missing or stale context isn't a bad sentence, it's a wrong move someone has to notice and undo. The more an agent does on its own, the more the right action depends on the right context — and that context is what memory holds between sessions.
• Perceived intelligence is mostly memory: does it know me, does it keep up, does it admit when it doesn't know.

• Everything the agent holds, as one graph — facts, preferences, episodes, and the updates, extends and supersedes edges between them.
• Type a question and it lights up what it would pull back. This is "memory is an interface" made literal: a person can look at what the agent knows about them, not just hope it's right.

• Atomic extraction into a typed graph. fact / preference / episode, each with a confidence and a source — so a teacher's name buried in a lunch request still gets kept.
• Supersession, not overwrite. "I work at Barbell Cartel" → later "I now work at Stripe": the second is classified as an update, the first is superseded but its history stays queryable.
• Temporal grounding. Real event dates extracted, a timeline injected at read time — this alone moved temporal accuracy 60% → 73.3%.
• forget() — soft-delete by meaning; gone from every query the moment you call it, kept in the database.

// a fact, then one that contradicts it
await memory.add([{ role: 'user', content: 'I work at Barbell Cartel as a product designer' }])
await memory.add([{ role: 'user', content: 'I now work at Stripe as a PM' }])

await memory.search('where does Arun work')
// → 'Arun works at Stripe as a PM'  — old fact superseded, not gone

await memory.getHistory('where has Arun worked')  // full chain, newest first
await memory.forget('my old apartment address')   // soft-delete by meaning

• LongMemEval (arXiv 2410.10813) breaks long-term memory into those five abilities and tests them across ~500 hand-built questions.
• The baseline everyone quotes: GPT-4o reads the whole transcript and still scores 60.6% — it gets lost in the middle. ChatGPT's own long-term memory scores 57.7%.
• Greymemory: 80.0% overall — 96% of a funded cloud competitor's score, self-hosted, at ~$0.013 a session.