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Kept

Your AI chats, saved as Markdown locally with no cloud

Mac
Productivity
Artificial Intelligence
Visit WebsiteSee on Product HuntGithub

Hunted byTibor TakácsTibor Takács

Kept: is an AI chat and productivity tool on your local archive. Captures conversations from ChatGPT, Claude, Gemini, Grok, and Kimi as Obsidian compatible markdown on your filesystem, with full-text search, knowledge graph, and an MCP servers. MIT license. View your Vault locally,

Top comment

Every brainstorm, every breakthrough, every good prompt I had with ChatGPT, Claude, Gemini, or Grok lives inside a vendor UI. A week later I cannot find it.

Kept captures my AI conversations the moment they happen and saves them on my own machine, where I can search them, link them, and build on them.

Features:
- Auto syncs your AI conversations as they happen, straight from the provider
- One .md file per conversation (Obsidian compatible)
- Built-in Agent runs over your own vault, not a cloud index
- Knowledge graph rendered in 3D, surfaces forgotten threads
- BYOK (OpenRouter / Anthropic / OpenAI)
- Additional OpenClaw and Claude Code MCP support to scan your vault

Install is a one-minute job: run the desktop installer, then drag and drop the browser extension into Chrome.

Open source, MIT licensed. No account, no cloud, no subscription. We would love to hear your feedback.

Supported: ChatGPT, Claude, Gemini, Grok, Kimi.

Try it: https://kept.work

Comment highlights

Local Markdown is a great default. The next hard thing, I think, is deciding what should graduate out of the chat archive.

A raw AI conversation has a lot of dead ends and temporary context in it. The really valuable pieces are usually decisions, reusable examples, prompts that actually worked, and constraints you don’t want future sessions to forget. I’d love to see Kept make that boundary explicit: archive everything, but help people mark which parts are “memory,” which are just transcript, and which are stale enough to stop influencing future work.

Hi Tibor, congrats! the missing piece! markdown + obsidian-compatible was always going to win. when does the knowledge graph beat full-text search in practice? "where did i decide X" feels like full-text. "what path got me there" feels like graph. is that the split? good luck with your launch.

Local Markdown feels like the right default for AI chats because the valuable part is usually not the chat UI, it is the reusable context you want to move into notes, docs, or a repo.

The detail I’d be most curious about is export fidelity: do you preserve model name, timestamps, attachments, code blocks, and source links in a predictable frontmatter/schema? That would make it much easier for teams to treat chats as a durable knowledge base rather than another archive.

Local-first for AI chats just makes sense. The vendor lock-in is real, you have a great prompt and a week later it's gone inside some UI.

Did the same building a finance app, kept everything on-device instead of a server. The annoying part was syncing across devices without running my own cloud.

How are you handling that with a local vault? Or is it single-machine for now?

Claude people think that HTML is better. Not as easy to edit, of course. What’s your opinion?

About Kept on Product Hunt

Your AI chats, saved as Markdown locally with no cloud

Kept launched on Product Hunt on May 26th, 2026 and earned 101 upvotes and 19 comments, placing #13 on the daily leaderboard. Kept: is an AI chat and productivity tool on your local archive. Captures conversations from ChatGPT, Claude, Gemini, Grok, and Kimi as Obsidian compatible markdown on your filesystem, with full-text search, knowledge graph, and an MCP servers. MIT license. View your Vault locally,

Kept was featured in Mac (103.5k followers), Productivity (652.4k followers) and Artificial Intelligence (469.4k followers) on Product Hunt. Together, these topics include over 238.8k products, making this a competitive space to launch in.

Who hunted Kept?

Kept was hunted by Tibor Takács. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

Want to see how Kept stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.