
Tempreon
ChainMemory
Memori
Mem0
Agentmemory
TheSecondBrain.dev
cognee
VATES.jp
Google Workspace CLI
Claude Code
Atlas-OS.dev
opencode
Codexโโ
discli
AdminLTE
VS Code
Tempreon is a personal memory layer for your AI tools, connected over MCP. Your knowledge, preferences, and decisions travel across Claude, ChatGPT, Cursor, and any MCP-capable client โ captured once, available everywhere. It learns how you actually work instead of just storing what you said.
Tempreon
Google Workspace CLINo Tempreon videos yet. You could help us improve this page by suggesting one.
Tempreon's answer
Tempreon started with a simple observation: AI models keep changing, but the thing that makes them useful to you โ your context, your preferences, your judgment โ gets rebuilt from scratch inside every tool, and lost every time you move.
We built the layer that fixes that: person-owned memory served over the open Model Context Protocol, so it works across assistants instead of belonging to one. Along the way we open-sourced the pieces that are useful to everyone regardless of whether they use Tempreon โ like memhaul, our MIT-licensed CLI for turning ChatGPT and Claude data exports into files you own.
The through-line is custody: the model is temporary, your memory shouldn't be.
Tempreon's answer
Most alternatives in this space are memory infrastructure for developers building their own AI apps. If you're the person using several AI tools every day, that's not your problem โ your problem is re-explaining yourself to each of them and losing everything when you switch.
The choice is really about who the memory is for. Ours is for you.
Tempreon's answer
Tempreon is built for the person, not the app. Most memory products are developer APIs for adding memory to a single product; Tempreon is a memory layer you own that travels with you across every AI tool you use โ Claude, ChatGPT, Cursor, anything MCP-capable.
Tempreon's answer
Individuals who live in AI tools all day: operators, consultants, founders, sales professionals, and knowledge workers who use more than one assistant and are tired of being a stranger to each of them.
If you've ever pasted the same context into Claude and ChatGPT in the same week โ you're the audience.
Tempreon's answer
The protocol choice is the product decision: build on the open standard, and your memory works everywhere the standard does.
Based on our record, Google Workspace CLI seems to be more popular. It has been mentiond 6 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
The announcement on X and HN both use the following URL, which is clearly an official Google org: https://github.com/googleworkspace/cli. - Source: Hacker News / about 2 months ago
Why do you think Google hasn't taken down the repo yet? https://github.com/googleworkspace/cli. - Source: Hacker News / about 2 months ago
Google recently released a Workspace CLI with MCP support โ so technically, your AI assistant can read a Google Doc now. But what it gets back is raw API JSON: a 500-line nested tree of StructuralElement objects, ParagraphElement arrays, and TextRun objects with style metadata buried three levels deep. - Source: dev.to / 3 months ago
Hey folks, My team and I have been building a background agents as a service product. One of the things we needed pretty early on was for some way for the agents to be able to drive slack. Right now, I don't think there are many good agent-first ways of doing this. I don't love MCP -- it's just too many tokens in the context window, and agents seem to do better with CLIs because they can embed them in code and so... - Source: Hacker News / 4 months ago
Google Workspace's official CLI now ships 100+ SKILL.md files, one for every supported API, plus 50 curated recipes for Gmail, Drive, Docs, Calendar and Sheets. - Source: dev.to / 4 months ago
ChainMemory - Portable, verifiable memory for AI agents โ works across ChatGPT, Claude, Gemini and any MCP client
Claude Code - Transform hours of debugging into seconds with a single command. Experience coding at thought-speed with Claude's AI that understands your entire codebaseโno more context switching, just breakthrough results.
Memori - Persistent memory from agent trace, not just conversation
Atlas-OS.dev - A Claude Code alternative. Open source (MIT), multi-agent, hook-driven, model-agnostic coding CLI with a built-in PRD-to-release pipeline.
Mem0 - Your private, local memory layer for all AI tools
opencode - The AI coding agent, built for the terminal.