An open-source, multi-tenant platform for self-building knowledge graphs and simulation.
HASH is a self-building, open-source database that autonomously integrates, structures, and validates data from public and private sources in near-real time. It serves as a high-trust source of truth, enabling users to visually manage data and schemas while deploying intelligent agents to maintain and grow the knowledge graph. The project aims to evolve into a complete operating system or all-in-one workspace with AI-generated interfaces on top of strongly-typed data.
Organizations and teams needing a centralized, self-maintaining knowledge graph with strong data integrity, including non-technical users who require visual data management and developers building simulations or AI-driven applications. It is suited for multi-tenant environments where multiple users or organizations share a single instance.
Developers choose HASH for its autonomous data integration and structuring capabilities, reducing manual data management overhead while ensuring high data quality through strong typing. Its unique combination of visual data management for non-technical users, simulation platform, and planned AI-generated interfaces offers a comprehensive solution for safety-assured decision-making beyond traditional databases.
🚀 The open-source, multi-tenant platform for self-building knowledge graphs and simulation
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HASH uses intelligent agents to automatically integrate and structure data from diverse sources in near-real time, reducing manual overhead as described in its self-building database feature.
Non-technical users can visually browse and manage entities and schemas through the interface, making data accessible without coding skills, as highlighted in the key features.
Ensures high data quality and safety for decision-making by enforcing typed schemas, addressing challenges in generative AI applications per the project philosophy.
Supports multiple users or organizations within a single instance, enabling scalable team or enterprise use, as noted in the multi-tenant capability.
Running HASH locally is not officially supported and requires a cumbersome setup with Docker, Rust, Protobuf, and mise-en-place, as detailed in the experimental instructions with multiple dependencies.
Cloud deployment guides are not yet available, with support 'coming soon,' hindering production use outside the hosted hash.ai service, as admitted in the README.
Many AI-related features depend on external API keys (e.g., OpenAI, Anthropic) and are part of future plans, making current functionality reliant on third-party services and incomplete.