@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.

rohanrecommends · Product Hunt

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

@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

u/OGMYT · Reddit

I built LOLM, a lower-cost LLM agent that shows what it actually did — looking for blunt feedback I’m one of the founders/builders behind LOLM. Most AI products show an answer but hide whether the system retrieved anything useful, verified the result, switched models, hit a limit, or simply stopped. LOLM exposes those parts through controller events and run receipts. It includes: - Live agent - CLI - Coding and small app-building workflows - Memory and self-hosting options - Control decis

@vitverb · X

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

@burn2delete · X

snakaya · HN

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

@amir_mehrabi_ · X

: Personal Intelligence

FabianBeiner · HN

CMEM – Persistent Memory for AI Coding Agents

@Prajwalr04_ · X

Check out what I just built with Lovable!

@AudaxicTech · X

Memory for AI agents, most affordable in the industry