Memoket Kite Review 2026: Token-Efficient Memory Layer for AI Agents
Memoket Kite is an open-source memory layer for AI agents that replaces the standard embeddings-plus-vector-database stack with a single portable, topic-indexed file of structured facts. It scores 93.51% on the LoCoMo long-conversation benchmark and 85.60% on LongMemEval-S while reading only about 1.5k tokens of context — the top overall score on both benchmarks with no vector stack at all. What Is Memoket Kite? A Memory Layer for AI Agents Memoket Kite (KITE) is a Python library, released under the Apache License 2.0, that gives AI agents persistent, source-backed memory. Its tagline is “Follow the thread, not the nearest match.” Instead of storing conversations as opaque embedding vectors and retrieving by similarity, KITE turns what an agent hears into typed, dated, topic-indexed facts that you can open and read in a plain file. ...