The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
Self-evolving agent: grows skill tree from 3.3K-line seed, achieving full system control with 6x less token consumption
Memory that AI Agents Love!
Awesome AI Memory | LLM Memory | A curated knowledge base on AI memory for LLMs and agents, covering long-term memory, reasoning, retrieval, and memory-native system design. Awesome-AI-Memory 是一个 集中式、持续更新的 AI 记忆知识库,系统性整理了与 大模型记忆(LLM Memory)与智能体记忆(Agent Memory) 相关的前沿研究、工程框架、系统设计、评测基准与真实应用实践。
Poirot is a deep research agent kernel built for those who care about how agents are architected.
Recursive Experiential–Working Memory Evolution for Long-Horizon Agent Harnesses
Agentic memory infra for AI agents
Drop-in AI memory layer with 2x faster retrieval and 10x lower cost. Fully compatible with Mem0 API. Migrate in 5 minutes without any code changes. Self-host for free.
具备自主经验涌现与上下文治理能力的 Agent 长期记忆系统
Source-linked readings and reproducible studies of agent memory, belief revision, and experience reuse.