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Cortex by SKYNETLAB
专为AI打造的记忆层，自动筛选重要信息，让模型记住真正该记的。
The memory layer that decides what's worth remembering Discussion | Link
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Show HN: ContextVault – Shared memory layer for your AI and your team
AI团队共享记忆层，让每个智能体告别孤立会话，大幅降低重复上下文加载。
Hi HN, I'm Kevin. I built ContextVault because I kept running into the same problem with AI tools. Every project accumulated prompts, coding conventio…
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Show HN: Kote – Capture and reuse engineering context from AI chats and Git
自动捕获AI聊天与Git历史，打造开发者专属可搜索的工程上下文记忆层，支持语音/文本快速记录。
I kept running into the same problem: I'd solve something with the help of an AI assistant, spend time debugging an issue, or make an architectural de…
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Mnema: A local, encrypted memory layer for AI agents
本地加密记忆层，为AI代理提供隐私安全的持久记忆能力，开源可自部署。
Article URL: https://github.com/MerlijnW70/mnema Comments URL: https://news.ycombinator.com/item?id=48880167 Points: 1 # Comments: 0
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Show HN: FERNme – agent memory that updates with ~zero LLM calls
无需LLM调用的Agent记忆层，利用Hebbian规则与模糊偏好图实现低成本、类脑的持久记忆更新。
Hi HN, FERNme is a memory layer for AI agents. Most systems (Mem0, etc.) call an LLM on every turn to extract/summarize memory, or dump everything int…
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Show HN: FERNme – agent memory that updates with ~zero LLM calls
零LLM调用的AI代理记忆层，用户自主掌控数据，成本极低且可审查，为个性化服务提供新思路。
Hi I have been working on persistent memory. I wanted to see whether a brain like graph-based memory system could be used and more importantly how muc…
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LANTERN: Layered Archival and Temporal Episodic Retrieval Network for Long-Context LLM Conversations
针对LLM长对话中历史信息丢失问题，提出分层存档与时间情景检索网络，轻量高效恢复关键细节。
arXiv:2606.05182v1 Announce Type: new Abstract: Large language models discard critical details when conversation history is compacted to fit within fi…
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I'm building CortexDB — an agent-native context database for AI agents
专为AI代理打造的上下文数据库，区别于传统向量数据库与键值存储，解决代理上下文管理难题。
I'm building CortexDB — an agent-native context database for AI agents Most modern RAG systems follow the same pattern: Split documents into chunks Co…
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I spent a year building agent memory on knowledge graphs. Here are my 5 mistakes
一年构建知识图谱记忆层总结：从随大流到踩坑，公开5个关键错误供避坑。
I spent the past year building a unified memory layer for my AI agents using knowledge graphs and ontologies on top of MongoDB. I followed every trend…
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Show HN: YourMemory, persistent memory layer with temporal reasoning for agents
受生物启发的记忆衰减系统，让AI代理无需调用LLM即可进行时间推理，并配有可视化仪表盘和CLI工具
It's an biological inspired decay system for our memories with extended support of temporal reasoning. Created a CLI command to infer knowledge from t…
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I built a free zero-knowledge memory layer for AI agents (<5ms local recall)
开源AI记忆层，零知识、本地召回小于5ms，为AI Agent提供高效隐私保护。
Article URL: https://github.com/sovseal/core Comments URL: https://news.ycombinator.com/item?id=48266721 Points: 2 # Comments: 0