EdgeMem, a new agent-memory method that preserves original interaction turns in a multi-anchor hypergraph built by lightweight local processing, achieved the highest strict-judge score among seven rep…
Firekeep, a self-hosted shared memory system, connects multiple MCP clients including Claude Code, Codex, Kiro, and OpenCode, allowing agents to preserve and recall context across sessions. On the 202…
Engrava 0.6.0 scored 81.6% micro on the LongMemEval-S benchmark, a slight drop from the 0.5.0 release's 82.4%, with both runs using identical readers, judges, and scorers. The company emphasizes repro…
A developer built VoltMem, a memory layer for LLM agents that assigns different protection weights to facts based on their volatility, preventing stale knowledge from persisting while allowing volatil…
Researchers introduced PPRO (Profile-guided Personalized Retrieval Optimization), a framework that enhances memory retrieval for long-term conversational agents by integrating user profiles. The syste…
MemDelta, a controlled evaluation protocol for agent memory systems, reveals that reported performance gains often stem from changes in embedding models or language models rather than memory architect…
Enki Labs released evaluation results for its closed-source memory engine Enki, showing comparable answer accuracy to mem0 on the LongMemEval-S benchmark while storing roughly half the facts (138 vs 2…
A developer distinguishes between two tools for giving AI coding agents persistent memory: AgentMemory, which automatically captures all session observations, and Qiju, which requires intentional logg…
A developer built Lorekeeper, an open-source memory layer for AI agents that uses idle-time reflection cycles to prune, merge, and link memories. The system achieves 84.6% Recall@1 and 96.6% Recall@5 …
Researchers introduced Eywa, a provenance-grounded long-term memory architecture for AI agents that stores immutable source evidence before deriving facts, achieving 90.19% judge accuracy on the LoCoM…