Fluree

Fluree is an enterprise AI data platform built around FlureeDB, a temporal, standards-compliant knowledge graph database written in Rust. The platform connects structured and unstructured data sources into a governed semantic graph, giving AI agents, dashboards, and applications a single trusted data layer with cryptographic provenance on every fact. Fluree, PBC is headquartered in Winston-Salem, NC, and operates as a Public Benefit Corporation.

What It Is

Fluree is a unified intelligence platform that ingests data from any source — CSVs, APIs, Postgres, Snowflake, Salesforce, and 300+ connectors — and automatically resolves entities, merges duplicates, and infers relationships into a connected knowledge graph. The core database, FlureeDB, is open-source under the Business Source License 1.1 (converting to Apache 2.0 four years after each version's release). On top of FlureeDB, Fluree offers a hosted serverless platform called Fluree AI, plus enterprise modules for structured data (Fluree Sense), unstructured data (Fluree CAM), and model/taxonomy governance (Fluree ITM).

Architecture and Core Capabilities

FlureeDB is built on W3C open standards — RDF 1.1/1.2, SPARQL 1.1, JSON-LD, OWL, and SHACL — and supports three query languages: SPARQL, JSON-LD Query, and openCypher, all compiling to the same engine. Key architectural features include:

• Time travel: every transaction is immutable; query data at any point in history by transaction number, ISO timestamp, or commit ID
• Triple-level access control: policies are stored as data in the ledger and enforced at query and transaction time, not at the application layer
• Integrated search: BM25 full-text and HNSW vector similarity are built into the query engine, not external services
• Git-like branching: fork, rebase, merge, and push ledgers the same way developers manage code
• Edge annotations: attach metadata to relationships using RDF 1.2 / SPARQL 1.2 annotation syntax
• Reasoning and inference: RDFS subclass/subproperty, OWL 2 RL forward-chaining, and user-defined Datalog rules
• Verifiability: JWS-signed transactions and Verifiable Credentials support
• External data sources: Apache Iceberg and R2RML relational mappings as first-class graph sources

The GitHub README reports benchmark results claiming 10.4x faster performance than the next database tested, with a 43 ms geometric mean across 850 WGPB graph-pattern queries on the full 21.5-billion-triple Wikidata dump, and over 2 million facts per second on bulk import.

AI Agent Integration

Fluree is native to the Model Context Protocol (MCP), exposing the knowledge graph as a first-class tool for Claude, Cursor, OpenAI, Gemini, Ollama, and any MCP-capable agent or IDE. The platform also ships Fluree Memory, a persistent long-term memory layer for AI coding assistants that stores facts, decisions, and preferences across sessions in a Fluree ledger scoped per-repo or per-user and shareable via git. The MCP server is available as an npm package (@fluree/fluree-mcp-server). Fluree positions its GraphRAG approach — where AI issues deterministic SPARQL queries against the knowledge graph rather than synthesizing from raw text chunks — as a path to verifiable, hallucination-resistant answers.

Deployment Models

The platform supports three deployment patterns:

• Fluree AI (hosted/serverless): the managed platform at fluree.ai, with a free fuel allowance covering tokens, storage, and compute; zero idle cost; first query in under 30 seconds
• Single-tenant AWS: a versioned, self-contained stack deployed inside the customer's own AWS account for strict isolation
• Self-hosted FlureeDB: the open-source database run on any hardware via Docker, Homebrew, shell installer, or Windows PowerShell; also embeddable as a Rust library

Update: v4.1.4 and Fluree AI General Availability

The latest FlureeDB release is v4.1.4, published July 23, 2026. On the same date, Fluree announced the general availability of Fluree AI, described on the platform blog as "a serverless knowledge graph platform that turns data siloes into governed institutional memory." The repository was last pushed July 27, 2026, indicating active development. The GitHub repository has 440 stars and 36 forks as of late July 2026.

Enterprise Audience and Analyst Recognition

Fluree's platform page lists the U.S. Department of Defense, Morgan Stanley, Associated Press, Dow Jones, Warner Bros. Discovery, Arizona State University, and others as logos displayed under "Trusted by." Published case studies describe a North American pharmaceutical company consolidating more than 10 data warehouses and reducing new analytics use cases from 9 months to 3 weeks, and a community bank creating golden records for 330,000+ customers. Fluree states it has been named a Gartner Cool Vendor and featured on the Gartner Hype Cycle, though these are vendor-published claims.