Graphite Docs
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Spacelift.io
Bit.ai
Airborn
Apple iWork
Collabora Office
WordTsar
Tempreon
ChainMemory
Memori
OpenMemory MCP
Agentmemory
TheSecondBrain.dev
cognee
VATES.jp
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.
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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, Graphite Docs seems to be more popular. It has been mentiond 15 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.
I'm a Graphite->Cursor->??? Employee :^) FWIW, Origin is owned by the Graphite folks inside of Cursor: the project was announced by Tomas, Graphite co-founder, at Cursor's Compile conference today. https://graphite.com/ if you're not familiar, is a tool built on top of GitHub! - Source: Hacker News / about 2 months ago
Platforms like Graphite that integrate AI review, stacked PRs, and merge automation into a unified system address the full outer-loop bottleneck rather than just one piece of it. The data is clear: small PRs reviewed by AI catch 3x more defects than large PRs reviewed by humans alone, and teams using integrated automation platforms ship 20 to 65% more code while maintaining or improving quality. For engineering... - Source: dev.to / 5 months ago
Graphite is an AI-augmented code review and pull request workflow platform designed to help teams ship higher-quality code faster by rethinking how reviews and merges work. It integrates AI feedback directly into pull requests, supports stacked pull request workflows, and provides automated merge orchestration. - Source: dev.to / 7 months ago
Iโve had a lot of success using https://graphite.dev/. Been pretty easy to pick up and slots right into our usual GitHub workflow. I end up using the vscode extension to manage it. Anyone have opinions how jujutsu compares? - Source: Hacker News / about 1 year ago
I've felt like a broken record the past few weeks, but this. Authoring has never been the bottle neck, the same way my typing speed has never been the bottle neck. The bottle neck has been, and continues to be, code review. It was in our pitch deck 4 years ago; it's still there. For most companies, by default, it's a process that's synchronously blocked on another human. We need to either make it async (stacking)... - Source: Hacker News / about 1 year ago
Google Docs - Create a new document and edit with others at the same time -- from your computer, phone or tablet. Get stuff done with or without an internet connection. Use Docs to edit Word files. Free from Google.
ChainMemory - Portable, verifiable memory for AI agents โ works across ChatGPT, Claude, Gemini and any MCP client
Spacelift.io - Collaborative Infrastructure For Modern Software Teams
Memori - Persistent memory from agent trace, not just conversation
Bit.ai - Bit is a smart real-time document collaboration platform for teams to create interactive documents, manage digital content and track document insights.
OpenMemory MCP - Your private, local memory layer for all AI tools
