@AudaxicTech · X

Memory for AI agents, most affordable in the industry

@memofsdev · X

@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

u/foric0 · Reddit

Built a memory layer so I stop re-explaining my project to every AI tool Every new Claude or Cursor session starts from zero. Same stack, same conventions, same things I already tried and dropped, explained again. Agent Magnet fixes that. Learns as you work, shares one memory across Claude, Cursor, and Codex. Team memory too, one person learns something, the rest of the team has it. Not the first tool trying to solve this, a few others take the retrieve-everything approach.

@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

@vitverb · X

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

snakaya · HN

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

FabianBeiner · HN

CMEM – Persistent Memory for AI Coding Agents

@hijak01 · X

check out the demo

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.

@StuSim · X

hey Adam, I run , lightweight agent memory