hashintel/hash
🚀 The open-source, multi-tenant platform for self-building knowledge graphs and simulation
What it solves
HASH is a self-building database designed to turn raw information into structured knowledge and process graphs. It solves the problem of manually structuring data by creating graph-backed "world models" that can be used for process automation, decision-making, and powering AI agents.
How it works
It functions as an open-source database that grows and structures itself in near-realtime. It uses autonomous agents to collect and structure information from the public internet and private connected sources into a standardized semantic form. The system supports bitemporality, allowing it to record both when an event occurred and when that information became known to the system.
Who it’s for
It is built for developers and non-technical users who need a source of truth for critical data. It is particularly useful for those building process models, automating complex workflows, or creating high-trust, safety-assured decision-making systems.
Highlights
- Self-building architecture: Automatically grows and structures its own data via AI agents.
- Bitemporality: First-order support for querying both event time and knowledge time.
- Visual Management: Non-technical users can visually browse and manage entities and schemas (types).
- Hybrid Data Sourcing: Integrates data from both the public web and private integrations.
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