HASH review
A broad, AI-assisted graph workspace for teams turning scattered information into structured context.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
HASH is an open-source platform for building continuously updated knowledge and process graphs from applications, databases, files, chats, and web pages. It combines typed entities, linked relationships, ontology-style schemas, provenance, graph exploration, AI-assisted extraction, workflow automation, and natural-language querying. The product is aimed at individuals, teams, and organizations that need structured operational context for analytics, automation, decision support, simulations, or AI applications. Cloud and self-hosted deployment options support solo users through enterprise teams.
The free plan provides the app and browser extension, manual scraping, CSV export, private web access, and custom types. Plus costs $20 per month with annual billing or $30 per month with monthly billing, adding passive scraping, flows, optional public entities, and private types. Team costs $30 per user per month with annual billing or $45 per user per month with monthly billing, adding active scraping, Smarter AI, two-way sync, and more integrations. The Plus and Team plans are waitlisted, while Ultra includes pages, apps, advanced data controls, and custom integrations with pricing handled through sales. This makes the free plan useful for evaluating the core workspace, while advanced collaboration and automation depend on paid access.
HASH’s ecosystem includes Anaplan, Blue Yonder, Celonis, Veeva Vault, Slack, SAP S/4HANA, Gmail, Google Drive, GitHub, Snowflake, BigQuery, and Postgres. Its graph tools support search, filtering, path finding, configurable nodes, duplicate reconciliation, continuous enrichment, and browser-based extraction. Flows add triggers, actions, filters, and waits for operational processes. Choose HASH when collaborative modeling, provenance, integrations, and AI-assisted enrichment matter more than a narrowly standards-focused graph stack. Teams centered on RDF storage or SPARQL querying should consider an alternative whose core capabilities explicitly prioritize those technologies.
HASH pros and cons
- Where it wins
- Visual ontology modeling with typed entities and linked relationships
- AI extraction, reconciliation, workflows, and natural-language querying
- Cloud or self-hosted deployment with broad business integrations
- Where it doesn't
- Plus and Team plans are waitlisted
- Ultra pricing requires contacting sales
- Less suited to RDF/SPARQL-centered deployments
HASH fact sheet, pricing and score →
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