BAI-LAB/MemoryOS
[EMNLP 2025 Oral] MemoryOS is designed to provide a memory operating system for personalized AI agents.
๐ฆ Memorilla: Latent Semantic Memory for LLMs
$ git clone https://github.com/snap-stanford/memorilla.git[EMNLP 2025 Oral] MemoryOS is designed to provide a memory operating system for personalized AI agents.
Official Implementation for the ACL 2026 paper "SARA: Selective and Adaptive Retrieval-augmented Generation with Context Compression"
LLM agent ็ๆ็่ช็บ ้้ฟๆ่ฎฐๅฟๅฑ๏ผๆ่ฟ็ปญใๅซ็็พ็้กน็ฎไบคไบๆฅๅฟ่ธ้ฆๆๆ็ใๅฏ่ชๆดๆฐ็่ฎฐๅฟๅบใBounded, self-correcting long-term memory for LLM agents โ candidate pool + value dynamics + tension adjudication + causal-replay evals.
The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
โฒ +28 โ this week
Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.
Unified framework for building enterprise RAG pipelines with small, specialized models
Data from GitHub ยท snapshot Nov 13, 2026