Compare: Your cloud's retrieval, or knowledge any agent can read

ContextNest vs Neo4j

Their products are infrastructure for engineers to assemble on their cloud. ContextNest is the finished, governed brain your whole business uses, with engineers right in it through the CLI, MCP and open source.

What it is

Neo4j GraphRAG and Aura Agent

Neo4j is a graph database with agent tooling for multi-hop retrieval. ContextNest governs which knowledge is approved to enter any retrieval at all.

ContextNest is approved knowledge that any agent, on any cloud, can read.

Sources

Neo4j Aura Agent enters general availability (Neo4j)

Choose Neo4j when you need deep graph modeling and multi-hop reasoning over data you model.

Where Neo4j wins

Deep graph modeling
Entities and relationships modeled in depth, with multi-hop queries.
Mature tooling
Mature graph query languages and tooling.
Runs anywhere
Aura cloud or self-managed, with an open-source Community Edition (GPLv3).

Where Neo4j strains

Each one shows up when the same knowledge has to serve many people, many agents and more than one model.

Approval before retrieval
As of October 2026, Neo4j's public documentation does not describe approving a document before it can be retrieved.
Documents aren't versioned by default
Old and new facts can sit side by side.
Logs show queries
Database logs show queries. They don't record who read which document.

Why teams pick us

Why teams pick ContextNest over Neo4j

Why we built ContextNest →

Runs anywhere. Same nest.: Start with plain files on a laptop with the open-source CLI, self-host the server in Docker, or let us host it. Push the same nest from one to the next, with no migration.
No infrastructure to stand up: No graph database, no vector cluster, no data platform, no ontology pipeline. It starts as plain files, and hosted is free to start.
A product people open every day: A Notion-style wiki editor, approvals, version history and compare, a read log, and Hootie chat built into the nest. PromptOwl agents run on top.
Agents that keep it whole: Capture, curator and retriever agents ship in the ContextNest plugin for Claude Code: they keep what's worth keeping, make a correction land everywhere, and answer with citations.
Governed and enterprise-ready: Turn on review and a named owner approves before AI may use it, every version is kept, and every read is recorded. OIDC single sign-on with Entra ID, Okta or Google Workspace comes with Enterprise.
Open where it counts: The CLI, engine and MCP server are open source (AGPL-3.0), with an open spec and free starter vaults. It all runs on a laptop.

Side by side

ContextNest and Neo4j, on the questions that decide it.

The question	Neo4j	ContextNest
Who it's built forWho is the product made for?	Engineering teams assembling infrastructure on Neo4j.	The whole business: leaders, teams, engineers and their agents.
What it governsWhich kind of knowledge does it govern for agents?	PartlyGraph data you model. Aura Agent builds GraphRAG agents on it.	YesDocuments, policies, decisions and playbooks: the knowledge agents act on.
Native to what you already runIs it already part of the cloud, tenant or platform you've standardized on?	PartlyA database you add to your stack, on any cloud.	NoA new vendor in your stack. It connects to your platforms over MCP and APIs.
Tables, metrics and data relationshipsDoes it model structured data for agents to query?	YesDeep graph modeling of entities and relationships.	NoDocuments and decisions, not table or metric modeling. Use it next to your data platform.
Multi-hop relationship reasoningCan agents follow relationships across many entities?	YesMulti-hop graph queries are its core strength.	PartlyGraph-aware selectors follow links between documents (ctx query --hops). Not a graph database.
Search across your other appsDoes it search across the apps your company already uses?	NoSearches the graph you load, not your other apps.	PartlyFull-text and selector search inside the nest, not across your other apps.
A person approves firstDoes a named owner approve knowledge before AI may use it?	NoOwner approval of documents before retrieval is not described in Neo4j's public documentation (October 2026).	YesPer-document steward approval. Governed nests serve only approved versions. Turned on per nest.
VersionedCan you rebuild what any version said, and keep old versions out of answers?	NoNot document-versioned out of the box.	YesEvery change is versioned and hash-chained. Rebuild any version (ctx reconstruct).
Record of readsIs there a record of who read what?	PartlyDatabase and endpoint logs.	YesEvery read is recorded: which person or API key, which document, and when.
What you provision firstWhat has to be set up before it works?	A Neo4j database (Aura or self-managed) and a pipeline to load your graph and embeddings.	Nothing to stand up: plain files on a laptop, one Docker container on your servers, or hosted, free to start.
Time to first governed answerHow long until an agent answers from approved knowledge?	PartlyAfter you model the graph and load your data.	YesMinutes: create a nest, add documents, approve them, connect an agent.
Ready-to-use UI for non-engineersCan people outside engineering read, edit, approve and ask, without a build?	PartlyGraph exploration tools for technical users. No document wiki or approvals.	YesA Notion-style wiki editor, approvals, version history and compare, a read log, and Hootie chat built into the nest.
Runs local, self-hosted or hostedCan the same knowledge run on a laptop, on your servers and in the cloud?	YesAura cloud or self-managed.	YesThe same nest runs as local files (CLI), self-hosted (Docker) or hosted. Push from one to the next with no migration.
SSOSingle sign-on with your identity provider?	PartlySingle sign-on on enterprise tiers.	PartlyEvery plan includes Google sign-in. OIDC single sign-on with Entra ID, Okta or Google Workspace comes with Enterprise.
Open source coreIs the core open source, and can you run it without a cloud bill?	YesCommunity Edition is open source (GPLv3).	YesThe CLI, engine and MCP server are open source (AGPL-3.0), with an open spec (Apache 2.0). It runs on a laptop.
Server and UI licenseWhat license covers the server and interface your team uses?	Community Edition GPLv3. Enterprise and Aura are commercial.	The Community server, wiki and read log are commercial: free for up to 10 users, with a free license key.
Ships with agents that maintain the knowledgeDo agents help keep the knowledge consistent as it changes?	NoNo agents that maintain the knowledge are described.	YesCapture, curator and retriever agents ship in the ContextNest plugin for Claude Code, plus Hootie in the nest.
Works across models and toolsCan agents on any model, and outside this platform, read it?	YesMCP and REST endpoints.	YesClaude, Cursor and any MCP client.
Proven at very large scaleIs it proven in very large enterprise deployments?	YesMature graph database used at large scale.	PartlyA newer product with a smaller production footprint than these platforms.
Available todayCan you buy and use it today?	YesAura Agent GA (2026).	YesShipping today.

Scroll the table sideways. The first column stays put.

See the cost comparison: what each stack costs to run →

Last reviewed October 2026. Based on each vendor's public website and documentation, and prices show the month we checked them. Products change quickly, so check the vendor's current documentation before you decide. See something out of date? Tell us and we'll fix it.Product names and logos are trademarks of their owners; used for identification only; no endorsement or affiliation implied.

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