@JohnTremendol · X

does this look vibe coded?

Repeater22746 · HN

ContextVault – Shared memory layer for your AI and your team

u/OrganicArgument2092 · Reddit

I shipped Lodekeep: portable memory for AI agents that follows you across Claude, Cursor, and ChatGPT Every new AI chat starts from zero. Claude, Cursor, ChatGPT all forget my stack, my decisions, the gotchas I already solved, so I kept re-pasting the same context every single session. I got sick of it and built Lodekeep. You capture a decision, preference, or lesson once, and it's recallable in every future session across every MCP client (Claude web + desktop, Claude Code, Cursor, Gemini

@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

@bellyencours · X

@dingfengtow_df · X

Just launched: Aristra public beta Agentic platform built on the Aristra Memory System. Persistent context of how you work + always-on agents. Memory is modular, also works with Codex, Claude Code, and other agent systems. Limited spots open.

@vitverb · X

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

FabianBeiner · HN

CMEM – Persistent Memory for AI Coding Agents

videlov · HN

I was interested in answering this question so I built a benchmark comparing git, jj and gitbutler in agentic context https://vcbench.dev/ Disclaimer - I am a co-founder of GitButler

@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.

kitforai · GitHub

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

@JoinFavorit · X