Maximem

A closer look at Maximem

Maximem gives AI agents persistent, structured memory and active context management: its Synap system is presented as state-of-the-art on the LongMemEval agent memory benchmark, with sub-15ms P75 in-conversation retrieval, so every interaction makes agents more personal, accurate, and useful over time.

Editorial guidance based on published documentation. The workflow below is a suggested starting point, not a measured product result.

When to choose Maximem

• Agent builders who want persistent, structured memory so agents remember, learn, and improve over time.
• Teams building agents on LangGraph, OpenAI Agents SDK sessions, or event streams that need active context management.
• Developers who want benchmark-leading memory retrieval, with Synap cited as #1 on LongMemEval with 93.2% LoCoMo accuracy.

When to choose something else

• Users who want a simple chatbot memory toggle, since Maximem is a developer memory and context system for agents, not a consumer chatbot.
• Users who need a clean published price before signup, since the pricing page mixes a Trial plan with $10 and Free monthly figures in toggle-mixed extraction.
• Users who want a non-technical setup with no code, since setup is presented as one prompt for Synap in a developer workflow.

A practical starting workflow

1. Get started free and set up Maximem Synap with one prompt.
2. Give the agent persistent, structured memory and active context management across conversations.
3. Let every interaction make the agent more personal, accurate, and useful, with retrieval in under 15ms at P75.

Check before committing

• The pricing page Trial plan shows both $10 and Free monthly figures in toggle-mixed extraction, so no price fact is recorded.
• Benchmark claims are the site's own statements, not independently verified results.

Common questions

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