Curata is an AI-native knowledge base where agents and humans build knowledge together. AI agents write structured pages from your live data or inputs - CRM, calls, tickets, Slack. Your team reviews and annotates in the browser. Every run compounds on the last. Connect any agent via MCP, give it read/write access, and your docs stay current without manual updates. 20+ rich components, version history, and an annotation layer closing the loop between what agents write and what humans know.
I made Curata because I got tired of two things:
1. Looking at markdown docs and the terminal
2. Feeling like my AI agent work was stuck in a silo
Curata solves both of those problems through one principle... Both AI agents and humans are first class citizens in Curata (nn different ways).
Humans get visually appealing outputs that are easier to understand and follow that markdown files. AI agents get a simple YAML format and MCP connection to manage and update the pages.
Humans get to provide feedback via the UI or just invite their agents to the page and provide feedback from their workspace. This gets rid of the bottleneck of AI agent work.
Curata is also bring your own agent focused. I believe most people want to use their existing MCP connections, workflows, subscriptions ($$$) rather than pay for another AI tool.
It's free for now with no plans to monetize (unless this gets crazy traction somehow) and the GitHub linked is an OSS version for you to self host if preferred.
Hope you enjoy!
Shared workspaces are interesting because coordination often becomes harder than the actual AI work.
Have you found the bigger challenge is getting humans aligned with agents, or getting multiple agents aligned with each other once workflows become more complex?
How does the agent handle ambiguity in the source data? If a Slack thread has conflicting accounts of what happened during an incident, does it surface the conflict or resolve it somehow?
Congrats on the launch.
About Curata on Product Hunt
“A shared workspace for AI agents and humans.”
Curata launched on Product Hunt on June 4th, 2026 and earned 83 upvotes and 5 comments, placing #28 on the daily leaderboard. Curata is an AI-native knowledge base where agents and humans build knowledge together. AI agents write structured pages from your live data or inputs - CRM, calls, tickets, Slack. Your team reviews and annotates in the browser. Every run compounds on the last. Connect any agent via MCP, give it read/write access, and your docs stay current without manual updates. 20+ rich components, version history, and an annotation layer closing the loop between what agents write and what humans know.
Curata was featured in Productivity (653.8k followers), Developer Tools (514k followers), GitHub (41.3k followers) and Maker Tools (2.8k followers) on Product Hunt. Together, these topics include over 237.1k products, making this a competitive space to launch in.
Who hunted Curata?
Curata was hunted by Tyler Diderich. 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 Curata stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Tyler Diderich