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OSS2026-05-10 · source-backed
Memori turns agent execution traces into structured persistent state, outperforming Zep, LangMem, and Mem0 on the LoCoMo benchmark while reducing prompt size by 67% vs Zep. Python and TypeScript SDKs. If you're building agents that need memory, benchmark this against whatever you're using now.
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MemPalace (57,821 stars, v3.6.0) reports 96.6% raw recall@5 on LongMemEval with no LLM required, 98.4% with hybrid v4 on a held-out 450 questions, LoCoMo R@10 rising 60.3% → 88.9%, ConvoMem 92.9%, MemBench 80.3%, while explicitly refusing head-to-head comparison against Mem0,...
arXiv 2608.11879 benchmarked Mem0, Hindsight and Mastra Observational Memory across conversations up to 400 turns and 665 LoCoMo questions. Cost models built on conversation length miss badly because internal memory behavior dominates. Break-even against just replaying the ful...
arXiv 2607.27090 targets the hidden tax in Mem0, MemGPT, and Zep: retrieved memory facts get re-prefilled on every single request. It precomputes each fact's KV representation, stores it on-GPU with a semantic embedding, and injects it into vLLM's paged cache via the KV-connec...
Compounding at ~847 stars/day to 97,447, built on tree-sitter AST parsing across 36+ languages plus Leiden community detection, with no vector store anywhere in the pipeline. Every edge is labeled EXTRACTED (explicit in source) or INFERRED (derived through resolution), which i...
Unbounded memory degrades agents through noise, retrieval latency, and stale-fact interference. YourMemory prunes stale memories every 24 hours, sets per-memory decay rates by importance score, deduplicates subject-aware to replace outdated facts, and keeps a decayed memory al...
hindsight (15.9K stars, memory that learns from past runs), Memori (15.2K, LLM-agnostic agent-native memory), and OpenViking are all fighting over the same ground. Source: GitHub The interesting split is positioning. hindsight sells "learns from experience," Memori sells model...
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