KnodeGraph vs Kumu (2026)
Verdict
Choose Kumu to craft polished, presentation-ready systems maps and stakeholder maps by hand or from spreadsheets — its visual storytelling and embeds are best in class. Choose KnodeGraph when the graph should come from your documents: AI extracts typed entities and relationships, you review them, and private projects are included even on the free tier.
Last updated: June 10, 2026
At a Glance
KnodeGraph
Best for: Turning document collections into typed, editable knowledge graphs with AI extraction
Pricing: Free $0/mo (3 graphs, 100 nodes, 5 AI doc extractions/mo); Pro $14.99/mo (unlimited graphs, 50K nodes, 50 extractions/mo, API)
https://knodegraph.com/Kumu
Best for: Systems mapping, stakeholder mapping, and presentation-quality network visualizations
Pricing: Free for public projects; $9/mo Pro (private projects, individual); $19/user/mo Team
https://kumu.io/KnodeGraph vs Kumu: Side-by-Side
| KnodeGraph | Kumu | |
|---|---|---|
| How the graph gets built | AI extraction from uploaded documents + visual editing | Manual entry or import from spreadsheets (Excel, Google Sheets) |
| Graph model | Typed entities + labeled relationships | Elements and connections with custom fields |
| AI features | Claude AI extraction with human review (5–50 docs/mo) | None — mapping is deliberate and manual |
| Presentation & sharing | PNG/SVG export; static images | Embeddable interactive maps, presentation mode, decorations |
| Systems-thinking features | General-purpose knowledge graph views | Purpose-built: causal loops, stakeholder maps, SNA metrics |
| Privacy on free tier | 3 private graphs at $0 | Free projects are public only |
| Network metrics | Visual exploration and filtering | Built-in social network analysis (degree, betweenness, closeness) |
| Multi-language extraction | 100+ languages incl. Arabic RTL | Not applicable (no extraction) |
| Export & API | PNG, SVG, JSON, CSV; REST API on Pro | Image export, JSON blueprints; spreadsheet round-trips |
| Pricing | $0 free tier; $14.99/mo Pro | Free (public); $9/mo Pro; $19/user/mo Team |
Hand-Crafted Maps vs Extracted Graphs
Kumu is a relationship-mapping platform beloved by systems thinkers, social-impact teams, and consultants. You build maps deliberately — adding elements and connections by hand or importing them from spreadsheets — then style them with decorations, run social-network metrics, and present them as interactive, embeddable visualizations. The craft is the point.
KnodeGraph starts where Kumu's workflow assumes you already are: with the entities and relationships identified. Upload documents and Claude AI proposes the entities and typed relationships it finds; you approve, merge, or reject each in a staging review, and the curated result lands on an interactive canvas.
Put simply: Kumu is for communicating a map you already understand. KnodeGraph is for discovering the map buried in a pile of documents. That difference in starting point drives almost every other contrast between the two tools, from pricing to presentation features.
Where Kumu Wins
For presentation, Kumu is clearly ahead. Maps can be styled with decorations, walked through in presentation mode, and embedded as live interactive visualizations in websites and reports — KnodeGraph can only export static PNG or SVG images. If the deliverable is a beautiful map your stakeholders click through, Kumu is the right tool.
Kumu is also purpose-built for systems work: causal loop diagrams, stakeholder and power-interest maps, and built-in social network analysis metrics like degree, betweenness, and closeness centrality. Its spreadsheet import keeps large mapping projects maintainable by non-technical teams.
And for public work, Kumu's free tier is generous: unlimited public projects at $0, with private projects starting at just $9/mo.
Where KnodeGraph Wins
Every Kumu map is built by hand or from a spreadsheet someone had to fill in. When the source material is fifty PDFs of interviews, reports, or research papers, that data-entry step is the project. KnodeGraph automates it: AI extraction in 100+ languages, with a human-review gate that keeps quality under your control.
KnodeGraph's graph model is also natively typed — entities carry types like Person or Organization and relationships carry labels like funds or employs — which makes the graph filterable and exportable as structured data (JSON, CSV) for analysis beyond visualization. Pro adds a REST API for programmatic access.
Privacy differs too: KnodeGraph's free tier includes 3 private graphs, while Kumu's free tier is public-only — private work requires a paid plan.
Pricing Compared
Kumu is free for unlimited public projects, $9/mo for an individual Pro plan with private projects, and $19 per user per month for teams. For open, public-facing work — community mapping, published research — that free tier is hard to beat.
KnodeGraph is $0 on the free tier — 3 private graphs, 100 nodes each, 5 AI extractions per month — and $14.99/mo on Pro for unlimited graphs, 50,000 nodes per graph, 50 extractions per month, domain templates, and API access. Kumu is cheaper if you map by hand; KnodeGraph's price includes the AI that eliminates the hand-mapping.
Which Should You Choose?
Choose Kumu if your job is to design and present a systems or stakeholder map — its visual polish, interactive embeds, and social-network metrics are unmatched in this comparison, and the free public tier costs nothing to try.
Choose KnodeGraph if your job is to extract the network from documents first — entities, relationships, and all — with AI doing the heavy lifting, a staging review keeping you in control, and private projects included from the free tier up.
The best workflow for many teams uses both: extract and curate the graph in KnodeGraph, export it as CSV, then import into Kumu to style and present the final map to stakeholders.
Frequently Asked Questions
Can I embed a KnodeGraph graph in my website like a Kumu map?
No. KnodeGraph exports static PNG and SVG images, not embeddable interactive maps. If live, clickable embeds are a requirement, Kumu is the better choice for that deliverable.
Does Kumu have AI entity extraction?
No. Kumu maps are built manually or imported from spreadsheets. KnodeGraph's core feature is Claude AI extraction from documents with human-in-the-loop review — that is the main reason to pick it over Kumu.
Can I import a KnodeGraph export into Kumu?
Yes. Export your curated graph from KnodeGraph as CSV and import it into Kumu via its spreadsheet import. Many teams extract in KnodeGraph and present in Kumu.
Are Kumu's free projects really public?
Yes — on Kumu's free plan, projects are publicly visible. Private projects require the $9/mo Pro plan ($19/user/mo for teams). KnodeGraph's free tier includes 3 private graphs at $0.
Which is better for stakeholder mapping?
If you are mapping stakeholders you already know and presenting the result, Kumu — it was designed for exactly that. If you need to discover the stakeholders and their relationships from documents first, start with KnodeGraph and export to Kumu for presentation.
Related Reading
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