@hijak01 · X

check out the demo

Repeater22746 · HN

ContextVault – Shared memory layer for your AI and your team

@burn2delete · X

FabianBeiner · HN

CMEM – Persistent Memory for AI Coding Agents

@FrancisShakur · X

felipemayamuniz · HN

AletheionAGI – Grounding enforcement for AI agents

@sunvic567 · X

rohanrecommends · Product Hunt

Zinley Your Personal AI Representative for calls, email, and tasks

@matebenyovszky · X

I use multiple providers Claude Code, Cursor, Codex, Hermes, Antigravity etc. and multiple machines. Over time, each one ended up with its own slightly different skills and tools 😰 So I started where a playbook is a portable bundle containing my MCP/OpenAPI servers, skills, prompts, personas and memory, which I can take with me into whichever environment I’m using. I’m still trying to figure out whether this is useful beyond my own workflow. Ideas? 🤔 🍎 Source / open source on Github: matebenyovszky/agentplaybooks I also built an npm CLI that audits a project and syncs the same skills and MCP definitions across harnesses.

@cyrus_zad · X

12ziyad · HN

Itsuki – shared memory for Claude Code, Cursor and 24 other AI tools

gb2d_hn · HN

It was with the transience of valuable agent session dialogue in mind that I built https://www.agentkanban.io - A key feature is context capture in the tasks which you create on the board and then progress in agent sessions. Supported agents are currently Claude and Github CoPilot in VS Code. All of your context is captured in the task and can be reloaded into new agent sessions at any point in the future. Tool use is intentionally discarded because it is proprietary in nature and therefore brea