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KAIROS | Durable Context Layer for Modern Tech Teams
@rdbuilds7 Memory Layer for AI Agents Product - https://t.co/mbRK424Ws4 Guide - https://t.co/W9xosDWLzQ
@Pankaj41521 · X
Memory Layer for AI Agents Product - Guide -
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@rdbuilds7 Memory Layer for AI Agents Product - https://t.co/mbRK424Ws4 Guide - https://t.co/W9xosDWLzQ
@Pankaj41521 · X
Memory Layer for AI Agents Product - Guide -
在Claude、ChatGPT、Gemini等AI工具间共享项目背景，避免重复解释。
shashank_shekhar8 · Product Hunt
Confluo Shared Memory for every AI tool you use
一次存储共享记忆，在AI系统和团队中复用。
Repeater22746 · HN
ContextVault – Shared memory layer for your AI and your team
为AI编码代理提供共享记忆，存储团队发现和产品知识。
snakaya · HN
Vibsync – One Shared Memory for Claude Code, Cursor and Codex (MCP)
为 AI 代理添加跨会话和设备的持久化记忆引擎。
@v1b3_x · X
I built a persistent, Git-like memory engine for LLM agents so they never lose context across session. works with ClaudeDesktop <—> Claude Code <—> Codex
保存和组织工作会话，用AI记忆即时检索任何工作。
@vitverb · X
hi :) One tap back to the work you meant to finish. No tasks to manage. Nothing to set up. Local-first
在AI助手间共享上下文，让它们记住代码库和任务历史。
@dorikuio · X
AI agents have amnesia — Claude Code figures out the codebase, an hour later Codex starts from zero. So I built a shared memory + task board for every MCP agent — Claude Code, Codex, Cursor, Gemini CLI: Is this just my problem? Help me find out.
为 AI 代理提供跨 Claude Code、Cursor 等 MCP 应用的持久化内存系统。
FabianBeiner · HN
CMEM – Persistent Memory for AI Coding Agents
AI-powered capital allocation platform that transforms market narratives into diversified, risk-managed portfolios.
@lekustito · X
An MCP memory server whose entity-graph spreading recall reassembles the chain of facts a vector store can't reach. On cross-vocabulary multi-hop questions a single vector lookup s
ihamilton7 · HN
Cogni: MCP memory for LLMs, with no LLM in the retrieval path
与一个公共AI聊天，它在所有用户之间维护一个共享记忆。
adjohu · HN
A public AI whose memory is shared across all users
与能记忆并学习的 AI Veiled Prime 进行持续对话。
@Vematrex · X
5M views. 13K shares. Building Veiled Prime at The most insightful AI we know how to make. Built for people doing real work. One conversation. Real memory. No resets.