Build AI that remembers, learns and gets better over time.
Maximem gives AI agents persistent, structured memory and active context management; so every interaction makes them more personal, accurate and useful, while reducing token costs, and so that what your agents know becomes something a competitor cannot trivially copy.
Trusted by builders at
- IIT Delhi
- Loopdesk
- Aiden
- Warrant

- TruCommerce
- Praxel
- IIT Roorkee
- Uncypher
- BITS Pilani
- Mindloop

- HandaUncle
- Supatest

- helllo
- Unpaved
Supported by
AWS is a trademark of Amazon.com, Inc. or its affiliates.
What is Maximem?
Maximem builds memory infrastructure: Synap, so the agents you build can remember, and Vity, a personal memory that stays encrypted even from us, so the AI you use can too.
01The problem
Why memory, and why the alternatives fall short.
Bigger context windows do not fix it. Vector search is not it. Files do not scale, and the platforms will not own it for you. We answer the nine loudest objections to agent memory, with proof.
Read the case for memory →02How it works
How Synap actually works
A turn does not land in a database. It is ingested, its meaning is extracted into structure rather than raw text, and it is stored across a vector, graph, and file store, asynchronously, so the write call returns before any of that happens and never blocks your agent. Retrieval then nets across all three stores at once, and most reads never leave your process, because context is pre-fetched while the conversation is still going. The context management pipeline below is where the accuracy and latency numbers come from.
Scroll the diagram sideways to follow the full path →
03Benchmarks
How Synap compares
The quick snapshot, measured on the same open-source LongMemEval harness.
| Synap | Mem0 | Zep | Supermemory | |
|---|---|---|---|---|
| LongMemEval | 92% | 57.5% | 63.8% (third-party reported) | 71.3% |
| Entity resolution | Automatic, every tier | Pro tier only | Automatic | Fact extraction |
Measured on Maximem's open eval harness, same hardware, same prompts, same conversations, same scoring. Vendor self-reported figures differ and are shown separately. Zep's figure is third-party reported and has not been run on our harness.
Learn about Context Engineering
Discover how AI context and memory work. Check our use cases and Synap.













