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Overview
Maximem gives AI agents persistent, structured memory and active context management. Instead of replaying whole transcripts, an agent retrieves the facts and preferences that matter for the current task. The product is sold to teams whose assistants must stay coherent across long-running work.
News
MCP 2026-07-28: 20 Breaking Changes and the Errors They Cause
MCP 2026-07-28 removed sessions, the initialize handshake, and the ability for servers to initiate requests at all. It is wire-incompatible in both directions, so nothing breaks until a client upgrades underneath you. This is the full diff, every error yo
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Report
Agentic Context Management: Agent Memory Is Not Merely a Storage & Retrieval Problem, It Is an Architecture Problem
We argue in our latest paper, that agent memory and cost is a lifecycle and architecture problem
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Report
An Anthropic Leader Told a Room of Founders to Stop Worrying About Context Windows. Here's the catch
An Anthropic researcher told a room of founders to stop worrying about context windows. Here is the question I did not get to ask, and why a bigger window solves short-term memory with bad tradeoffs and does nothing for long-term memory.
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Report
Maximem Synap's Agent Memory Connected To Semantic Kernel
Maximem Synap's persistent agent memory now integrates with Microsoft Semantic Kernel. Per-user persistence, entity resolution, and 92% LongMemEval, 93.2% on LoCoMo accuracy for .NET and Python production agents.
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Maximem Synap & LiveKit Agents Integration
Maximem Synap's persistent agent memory now integrates with LiveKit Agents. Per-caller persistence, entity resolution, and 92% LongMemEval, 93.2% on LoCoMo accuracy for production voice agents.
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Offices
Where the company hires and what each office is for
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1
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1
San Francisco
United States
HQ
San Francisco, CA, US