
Fluree
Data + Context for AI and Apps
808 followers
Data + Context for AI and Apps
808 followers
Fluree is an enterprise AI data platform and verifiable knowledge graph database that combines immutability, security, and semantic graph capabilities. It operates as a unified intelligence layer, helping organizations connect fragmented information into a single "source of truth" to power zero-hallucination AI agents, analytics, and decentralized data sharing
This is the 3rd launch from Fluree. View more

Fluree AI
Launched this week
Fluree AI gives every app and AI agent the same trusted context from your company data. Ask questions and get cited, verifiable answers from one live data layer, with permissions checked on every request. Instead of rebuilding prompts or relying on RAG guesses, Fluree queries structured data directly and connects to MCP-ready agents, dashboards, and apps in minutes.








Free Options
Launch Team / Built With





I might be missing it, but the workflow angle here is interesting: Fluree feels most useful when it saves a repeated setup step, not just one-off time. Curious how teams usually measure that after a week or two?
Fluree
Thanks @benln for hunting Fluree AI.
Models are moving fast these days.
Data, on the other hand, is still messy.
Fluree AI aims to solve that.
We use some really cool tech under the hood (knowledge graphs + ontologies) to get your data intelligently connected and "AI-Ready."
From there, you can build experiences and interfaces from this durable data layer. Build apps that query and transact to Fluree AI. Build dashboards that are always live against your data. Ask questions that you could never have possibly answered without integrating multiple silos together. The possibilities are endless!
We love feedback, so please hit us up in the comments :)
The part I like here is treating trust as a data-layer problem instead of a prompt-engineering problem. Once agents start touching real operations, provenance and permissions stop being enterprise checkboxes and become the difference between useful automation and expensive guesses.
TEST DO NOT POSTThe part I like here is treating trust as a data-layer problem instead of a prompt-engineering problem. Once agents start touching real operations, provenance and permissions stop being enterprise checkboxes and become the difference between useful automation and expensive guesses.
The part I like here is treating trust as a data-layer problem instead of a prompt-engineering problem. Once agents start touching real operations, provenance and permissions stop being enterprise checkboxes and become the difference between useful automation and expensive guesses.
Block Convey Drive
Hi @bplatz @kevin_doubleday
Great job and I played with the product. is there a way to connect with my claude code and run this? Honestly as much as I love it. It will take me a time to fully get the potential of what you have build and is there guide I can use. Btw love the way you have thought of the entire KG
gnow
Fluree
@bplatz @nolansym Thanks Jordan! We <3 graphs because they allow for immense flexibility and amazing reasoning capabilities.
Fluree
@kevin_doubleday @nolansym Thanks Jordan!!!