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!

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.

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.

Curata

A shared workspace for AI agents and humans.

A shared workspace for AI agents and humans.