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CoreMem – Portable context for AI agents

CoreMem – Portable context for AI agents

by 20wenty·May 22, 2026·5 points·0 comments

AI Analysis

●●SolidSolve My ProblemSlick

Portable context via MCP and share links beats copy-pasting project specs into every new chat.

Strengths
  • MCP server integration means context loads automatically in compatible agents without manual prompting.
  • Universal share links work in any AI chat interface, even those without native plugin support.
  • Human-in-the-loop approval for agent-proposed context updates prevents hallucinated preferences.
Weaknesses
  • Relies on users manually maintaining context; no automatic extraction from existing docs or chats yet.
  • Competes with native 'Projects' features in Cursor and Claude that are becoming more robust.
Target Audience

Developers and power users managing multiple AI agents and projects

Similar To

Cursor Projects · Claude Projects · Mem.ai

Post Description

CoreMem lets you build collections of context, called a mem, and share it with any AI agent via URL, a Chrome extension, MCP, Cursor/VS Code plugins, a skill, and more. Instead of re-explaining your project or goal when you switch agents or start new sessions, CoreMem keeps your context centrally organized so that any AI tool can read it.

This originally started as a CLI I built that kept pieces of context (Project A/B/C details, my writing style, preferred tech stacks, coding style, etc) in a SQLite database. I could instruct various agents to “use my `coremem` CLI to retrieve details about [project A] before we get started.” It solved a problem for me b/c I am continually bouncing around between different projects and chat agents, and having to re-explain myself every time became an exercise in either repeating myself or copy/pasting summaries I’d saved from previous sessions.

I decided to make this a little more robust and portable, so I turned that original CLI into a SaaS. Tl;dr: You can create a “mem”, which is a collection of 1 or more pieces of related context, and share that mem with any agent to quickly get them up to speed.

Right now I’ve got integrations in the form of revokable share links, a Chrome Plugin, Cursor Plugin, Cursor/VS Code extension, Claude Code plugin, ChatGPT/Claude/Gemini/et al via MCP. Since I mostly work from the CLI, I use the Claude Code plugin or create 5-min share links I can drop into a chat, but I’ve tried to make this useful to people who mainly work from a browser or an IDE.

I’ve been coding for 30+ years, and I vibed most of this. I was able to use CoreMem to help it built itself as I jumped between various coding agents, having them grab context then start a new task. I’m sure my architecture and engineering experience helped, but building this in a few weeks confirmed for me that the barrier for someone to build a tool they need to solve a problem is incredibly low.

The rush I used to get from coding has mostly faded, but I’m getting similar rushes managing different agents to build things now.

Similar Projects

AI/ML●●Solid

Threadlink – Turn long AI chats into portable context cards

The product nails a painful micro-problem: turning sprawling chat logs into bite-sized, copyable context cards with explicit controls (Light/Balanced/Aggressive compression, token counts, BYOK for privacy). It’s a useful MVP — the UI signals care and control — but without obvious integrations or export targets (ChatGPT plugin, Slack, or API) it risks staying a handy one-off rather than a daily workflow tool.

Solve My ProblemSlick
skragus
114mo ago