HASH vs OWLGrEd

HASH is an open-source platform that models an organization with a knowledge graph and a process graph. The continuously updated model supports analytics, workflow automation, what-if simulations, AI agents, and detailed access governance. HASH can ingest connected applications and structured data, infer entities from unstructured material, and passively collect selected web information. Its bitemporal graph records transaction time and decision time, letting users inspect earlier states and provenance without overwriting records. Flows combine triggers, actions, filters, and waits and can run manually, automatically, or programmatically. Agents can answer questions and take actions. Integrations include Slack, Google Drive, Gmail, Notion, GitHub, SAP S/4HANA, Snowflake, and Postgres. Two-way synchronization is available where supported; some services allow only read-only sync or one-time imports. A browser extension can collect selected browsing information, let agents access sites for users, and launch flows. HASH is offered through web, API, browser extension, or self-hosted deployment. The free plan includes 10GB storage and 50 entities per manual scraping job. Plus starts at $20 a month when billed annually.

OWLGrEd has no write-up on Specifiction yet; its figures are above.