Most "chat with your data" tools throw a pile of text chunks at a model and hope for the best. yggy does what they skip: it turns your cluttered documents and connected systems into a real knowledge graph, with no schema to design and no pipeline to run. Every fact keeps its source. Duplicates merge themselves, and you can undo any merge. Then one graph serves everyone: your team in the app, your code through the API, your agents through MCP. Hosted in the EU. Your knowledge stays yours.
We're Dominik, Carlos and Max, the team behind yggy, and we're really glad to finally show it to you.
Company and personal knowledge lives everywhere: PDFs, mailboxes, drives, tickets. Most AI tools on top of that either retrieve a pile of text chunks, or let an agent search through MCP and API calls and guess. It's slow, it burns tokens, and you can't always tell where an answer came from. We wanted answers we could check. So we built yggy to turn that mess into a knowledge graph that builds itself.
How it works
Bring data in. Upload documents, connect your systems, or push data through the API.
yggy does the structuring. It reads everything, extracts entities and relations into your ontology, merges duplicates, and links every fact back to its source.
Use it your way. Ask in the app, build on the REST API, or plug the graph into your agents via MCP.
What we care about
Transparent: every answer points to where it came from, and you can see what yggy did and why
Ontology compliant: facts land in a structure we and you define, not in a pile of loose text
Dev first: REST API, MCP, a CLI and SDKs, with docs written for builders
Multi-tenant and secure: every organization and project is isolated, with SSO, scoped API tokens and an audit log
Fixable: merges are reversible, and unclear cases go to a review queue
Yours: EU-hosted, GDPR-first
Just want your own notes in a graph? We built yggy notes for exactly that.
We'd love your questions, your toughest challenges, or just a good chat. We're here all day and read every comment.
keeping every fact linked to its source is what would make me trust an answer. when two duplicates merge wrongly, how do you spot it before undoing?
Very cool launch. We have recently started experimenting with an LLM wiki in Obsidian via Codex and are amazed by what's possible. But there are a lot of details that are really hard to get right if you have to think about the whole infrastructure, agents, and maintenance yourself. Super curious to try yggy out!
Oh this looks amazing! I am building an AI companion and keeping good memory of users is critical. Would that work or is your product more focused on enterprise?
About yggy on Product Hunt
“The AI knowledge graph that builds itself”
yggy launched on Product Hunt on October 20th, 2026 and earned 83 upvotes and 10 comments, placing #20 on the daily leaderboard. Most "chat with your data" tools throw a pile of text chunks at a model and hope for the best. yggy does what they skip: it turns your cluttered documents and connected systems into a real knowledge graph, with no schema to design and no pipeline to run. Every fact keeps its source. Duplicates merge themselves, and you can undo any merge. Then one graph serves everyone: your team in the app, your code through the API, your agents through MCP. Hosted in the EU. Your knowledge stays yours.
yggy was featured in Productivity (663.6k followers), Developer Tools (521.5k followers) and Artificial Intelligence (481.6k followers) on Product Hunt. Together, these topics include over 390.8k products, making this a competitive space to launch in.
Who hunted yggy?
yggy was hunted by Dominik Müller. 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 yggy stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Dominik Müller
Hey Product Hunt 👋
We're Dominik, Carlos and Max, the team behind yggy, and we're really glad to finally show it to you.
Company and personal knowledge lives everywhere: PDFs, mailboxes, drives, tickets. Most AI tools on top of that either retrieve a pile of text chunks, or let an agent search through MCP and API calls and guess. It's slow, it burns tokens, and you can't always tell where an answer came from. We wanted answers we could check. So we built yggy to turn that mess into a knowledge graph that builds itself.
How it works
Bring data in. Upload documents, connect your systems, or push data through the API.
yggy does the structuring. It reads everything, extracts entities and relations into your ontology, merges duplicates, and links every fact back to its source.
Use it your way. Ask in the app, build on the REST API, or plug the graph into your agents via MCP.
What we care about
Transparent: every answer points to where it came from, and you can see what yggy did and why
Ontology compliant: facts land in a structure we and you define, not in a pile of loose text
Dev first: REST API, MCP, a CLI and SDKs, with docs written for builders
Multi-tenant and secure: every organization and project is isolated, with SSO, scoped API tokens and an audit log
Fixable: merges are reversible, and unclear cases go to a review queue
Yours: EU-hosted, GDPR-first
Just want your own notes in a graph? We built yggy notes for exactly that.
We'd love your questions, your toughest challenges, or just a good chat. We're here all day and read every comment.
Dominik, Carlos and Max