Field notes and landscape pieces on AI memory — shorter reads for the big-picture curious.
10 articles
What is the best AI agent memory in 2026? A decision map across Mem0, Zep, Letta, Cognee, Supermemory, LangMem, and Mnemoverse, with the vendor position flagged up front.
Mem0, Zep, Letta, Cognee and Supermemory compared with Mnemoverse, the publisher of this page: integration posture, self-host reality, temporal handling, and what benchmark scores hide.
Ontology vs schema vs topology: one shared commitment, five different contracts, and what missing data means — false, unknown, or forbidden.
OpenAI's Record & Replay for Codex and Anthropic's composable skills arrived the same week. Two stacks, one shift: encoding how work is done and making the procedure callable. The ownership question follows.
Cursor's valuation, Anthropic's dreaming preview, Google's Memory Bank: different architectures, same shift. Persistent memory has stopped being a research conversation and become a choice builders can no longer defer.
Orogat and Mansour name four failure modes of treating agent memory as storage, and propose GEM: four state-level operations instead of record-level CRUD. Why the abstraction, not the engine, is the problem.
AI agent memory fails three ways: statelessness, context rot, and lost-in-the-middle. Bigger context windows trade one failure for another and add token spend.
AI memory landscape 2026: how persistent memory became a production discipline — platform features, funded startups, the LoCoMo benchmark, and open problems.
When AI cites what does not exist: a case study of a recombination hallucination that passed four of five checks, and why persistent memory needs verification.
AI memory market 2025-2026: platform memory from OpenAI, Anthropic, Google, Microsoft, xAI, plus startups, funding rounds, and context-management trends.