@AudaxicTech · X

Memory for AI agents, most affordable in the industry

@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

@AiShivam · X

AgentStacKPro is an OS for AI agents designed to make them production-ready, and it holds incredible potential. You can also check out the project I currently developed

snakaya · HN

Vibsync – One Shared Memory for Claude Code, Cursor and Codex (MCP)

kitforai · GitHub

kitforai Kit for AI developer hub — official SDK, Claude Code plugin, MCP setup, and llms.txt.

@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.

@SouravDaaa · X

- End to end personalised memory retrieval in 10ms. Would love some feedback here

rohanrecommends · Product Hunt

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

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

@StuSim · X

hey Adam, I run , lightweight agent memory

@hijak01 · X

check out the demo

@vitverb · X

hi :) One tap back to the work you meant to finish. No tasks to manage. Nothing to set up. Local-first