
UML - Universal Memory Layer
Shared memory layer enabling Claude and ChatGPT to access common context over MCP.
12ziyad · HN
Shared memory graph for Claude and ChatGPT, over MCP
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Shared memory layer enabling Claude and ChatGPT to access common context over MCP.
12ziyad · HN
Shared memory graph for Claude and ChatGPT, over MCP

Persistent memory system for AI agents that survives across sessions and devices.
@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

Detect AI/LLM generated code in git repositories via commit history analysis.
ava · Lobsters

Shared memory for AI coding agents to store team discoveries and reduce duplicate research.
snakaya · HN
Vibsync – One Shared Memory for Claude Code, Cursor and Codex (MCP)

Memory infrastructure for AI agents to store and retrieve contextual data.
memcode-in · GitHub
memcode Memcode: #1 Memory Layer for AI agents, Building Memory infra for every use case

Portable memory that persists across Claude, ChatGPT, Cursor, and other AI assistants.
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

Versioned memory workspace for your ideas and code, readable by connected AI assistants.
@JohnTremendol · X
does this look vibe coded?

Managed hosting platform for AI agents with persistent workspaces, memory, and scheduled backups.
@hijak01 · X
check out the demo

Archive and track GitHub repository traffic metrics like views, clones, and referrers permanently.
@resetnak · X
- Github Repository statistics for opensource projects! Give it a try

@rdbuilds7 Memory Layer for AI Agents Product - https://t.co/mbRK424Ws4 Guide - https://t.co/W9xosDWLzQ
@Pankaj41521 · X
Memory Layer for AI Agents Product - Guide -

An MCP memory server whose entity-graph spreading recall reassembles the chain of facts a vector store can't reach. On cross-vocabulary multi-hop questions a single vector lookup s
ihamilton7 · HN
Cogni: MCP memory for LLMs, with no LLM in the retrieval path

Axiom is an engineering memory layer that maps codebase relationships, predicts change impact, and preserves institutional knowledge.
@vxssroot · X
Axiom is an engineering memory layer that understands your entire codebase, its relationships, and context locally and privately. *