Fluree AI vs jurniti: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Fluree AI and jurniti — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Fluree AI

Fluree

Freemium

Enterprise knowledge graph platform that makes structured and unstructured data AI-ready for GraphRAG and agents.

Verifiable Knowledge Graph: FlureeDB stores entities and relationships with cryptographic verifiability to every fact
AI-Ready Data Foundation: Golden records, entity resolution, semantic layer, and taxonomy governance to prep any data
GraphRAG Activation: Ground LLM retrieval on the graph for up to 95% answer accuracy in benchmarks
Fluree Memory: Long-term, governed memory store for AI agents across sessions
Fluree MCP: Plug your governed knowledge graph into any MCP-capable agent or IDE
AI Agent Governance: Policy and audit controls for how agents access and modify enterprise data
Conversational Analytics: Natural-language interface over the enterprise semantic layer
Open-Source Core: FlureeDB is free to start and open source

Build a governed enterprise knowledge graph that AI agents can query verifiably
Deploy GraphRAG on top of internal data to raise LLM answer accuracy
Give AI agents persistent, policy-governed long-term memory across tools
Expose enterprise data to any MCP client (Claude, Cursor, IDEs) with role-based governance
Consolidate customer or product records via entity resolution before feeding an LLM
Run enterprise AI search grounded in structured relationships instead of raw text chunks
Estimate and control AI agent TCO across the organization

Paid

Managed 24/7 hosting for coding agents, each running in its own Firecracker microVM with your own model keys and no token markup.

Firecracker microVM Isolation: Every agent runs in its own KVM-backed virtual machine with hardware-enforced tenant isolation instead of a shared-kernel container.
Bring Your Own Key: OpenRouter, OpenAI or Anthropic keys live only inside the customer's VM — jurniti never sees them, never proxies calls and never marks up model spend.
Multi-Harness Support: Runs Claude Code, Codex CLI, OpenClaw, Hermes, OpenCode, Devin CLI, Mastra and Pi, each in its own dedicated microVM.
Fleet CLI: A jurniti command-line tool to boot agents, list fleet status, dispatch work and copy results back, so the whole fleet is managed from a terminal.
Swarm Runtime: Boots dozens of isolated microVM workers at once and dispatches the same brief to every worker, with results collected in a single command.
Flat Per-VM or Hourly Billing: A flat monthly or annual price per agent VM, or per-second metered On-Demand and Spot pricing for bursty workloads, with prepaid credits.
Automated Provisioning: Payment triggers a magic-link sign-in and an auto-provisioner that has a live microVM running in about three minutes with no human in the loop.
Custom Subdomain and Sidecars: Pro tiers add a custom subdomain, alongside separate microVM services for multi-agent communication and long-term agent memory.

Always-On Coding Agents: Keeping a Claude Code or Codex agent working on a backlog overnight without leaving a laptop running.
Secure Key Handling: Running agents for a team that cannot let model API keys leave its own infrastructure boundary.
Parallel Agent Fleets: Dispatching one brief to fifty isolated workers to compare approaches or parallelize a large refactor.
Bursty Batch Work: Using per-second Spot or On-Demand VMs for agents that only run a few hours a day, paying only for active runtime.
Self-Hosting Alternative: Replacing hand-rolled VPS setups for open-source agent harnesses like Hermes, OpenClaw or OpenCode.
Long-Running Agent Memory: Pairing an agent VM with a dedicated memory microVM so knowledge persists between sessions.