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FATE (Federated AI Technology Enabler) is an industrial grade federated learning open source framework that enables enterprises and institutions to collaborate on data while protecting data security and privacy. It implements secure computation protocols based on homomorphic encryption and multi-party computation, and provides federated learning algorithms including logistic regression, tree-based algorithms, deep learning and transfer learning.
Fess is an open-source, self-hosted enterprise and site search server built on OpenSearch, installable on any platform with a Java runtime. A built-in crawler collects documents from web sites, file systems, and data stores such as databases and CSV files. It is configured through a browser-based administration UI and offers a REST API.
LLM App is an open-source project providing ready-to-run cloud templates for retrieval-augmented generation (RAG), AI pipelines and enterprise search with live data. It is Docker-friendly and designed to stay synchronized with data sources including Sharepoint, Google Drive, S3, Kafka, PostgreSQL and real-time data APIs, hosted by pathwaycom on GitHub.
Swarms is a Python framework for building multi-agent systems, described as an enterprise-grade multi-agent orchestration framework. It provides harnesses for sequential, concurrent and hierarchical architectures, and is installed via pip, uv or Docker.
