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.
Loading comments…
Project Info
Product Keywords
Fluree AI is a hosted intelligence platform built on FlureeDB that gives every app, AI agent, and human the same trusted context from your company data. Instead of rebuilding prompts or relying on probabilistic RAG guesses, Fluree AI queries structured data directly — returning cited, verifiable answers with permissions checked on every request. It connects to MCP-ready agents, dashboards, and apps in minutes, turning scattered information into a single live data layer that any interface can use.
Every request — whether from a human, agent, or dashboard — enforces permissions locked to the user or role. Answers come from a traceable graph, so every action is logged, auditable, and reversible.
Fluree AI stores context as a rich graph of people, spaces, companies, and relationships. This memory sharpens with every question, answer, and action, compounding shared intelligence across your organization.
Instead of guessing with vector search, Fluree AI runs structured queries against a connected graph. Results are up to date, data-grounded, and include citations so you can verify every claim.
Any agent that speaks the Model Context Protocol — including Claude, OpenAI, Gemini, and Ollama — can reason over the same graph. You can also run agents natively on Fluree AI without additional tools.
Give your AI a place it can actually trust.
Most AI platforms rely on unverified guesses from fragmented context. Fluree AI flips that by querying a single live graph of your structured data, with permissions and traceability built into every response. Agents and humans alike get cited, verifiable answers — no black boxes, no blind spots. The system also learns over time: every interaction compounds into shared context that makes your entire organization more knowledgeable, not just your models.
You want to stop rebuilding AI context for every use case and instead give your agents, dashboards, and teams one trusted source of truth. Fluree AI is especially useful if you need permissioned, auditable answers across multiple data sources, or if you’re looking to deploy autonomous agents that act within policy without sacrificing control.
Maker
blueprint_b
Alternatives
Other tools you might consider
Same AI. 5x the tokens. Coworker provides deep company context and automatically routes to the right model for every task. More chat, cowork and code with the same spend.
AI agents can ship quickly, but without the right product context, they're often flying blind. Brief gives product teams a living source of truth that captures decisions, preserves product intent, and serves relevant context to humans and agents through chat, Slack, CLI, and MCP. It keeps strategy, decisions, and execution connected from vision to impact.
Clears is an agentic execution platform for autonomous software delivery, helping R&D organizations move beyond individual AI tools to agentic execution across the entire SDLC.
Ditch your scraper. One API gives your code everything it needs from the web: structured JSON, clean markdown, cited research, and browser automation. No browser, LLM, or pipeline for you to run. Use it from the tools you already work in: an MCP server, CLI, Raycast extension, or as an Agent Skill. Grab a key and make your first call in less than three minutes. Mozilla-backed. Your data is never sold, never trained on.
Loading comments…
