Democratizing access to verified information through transparent, community-driven engineering. All core systems, datasets, and APIs are freely available under permissive licenses.
Production-grade tools powering the encyclopedia. Fork, customize, and deploy your own knowledge graph.
Main engine handling semantic indexing, entity resolution, and multi-lingual vector storage.
Interactive React component library for rendering dynamic knowledge graphs and relationship trees.
Official SDKs for Python, Node, and Go to query the Aevum API with semantic ranking and filters.
Access our entire corpus through a RESTful & GraphQL API. Rate limits are generous for open-source projects and academic research.
Whether you're fixing a typo, adding a new language pack, or building core infrastructure, your contributions are welcome.
Review our editorial standards, code style, and contribution workflow in the CONTRIBUTING.md.
Create a feature branch from `develop`. Follow semantic naming: `feat/add-bio-markdown`.
Open a pull request with a clear description. CI will run tests, linting, and accessibility checks.
Maintainers review within 48 hours. Approved PRs are automatically deployed to staging.
Aevum Encyclopedia operates under a dual-license model. All software, infrastructure, and developer tools are released under permissive open-source licenses (MIT/Apache 2.0). Encyclopedia content, metadata, and knowledge graphs are licensed under Creative Commons Attribution-ShareAlike 4.0, ensuring free reuse while preserving attribution.
We publish model weights, training datasets, and audit logs quarterly. Our verification pipeline is fully transparent and peer-reviewed. No proprietary black boxes. No hidden paywalls. Just open, verifiable knowledge.
Full transition to open-source Milvus/Weaviate backends with public schema docs.
Docker Compose & Helm charts for deploying private Aevum instances on-premise.
Open-source dashboard for editors to manage revisions, flag sources, and audit changes.
Public beta for image, audio, and 3D asset integration into knowledge nodes.