Writing Open source
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.
GitHub · ★ 26,697 View →
Writing Open source
The Memory Layer for AI Agents - Drop-in memory infrastructure for AI agents and apps. Context that persists. Built for production.
GitHub · ★ 66,834 View →
Writing Open source
Graph-Native Infrastructure for Context and Accountable AI Systems
GitHub · ★ 13,816 View →
Writing Open source
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
GitHub · ★ 166,861 View →
Writing Open source
GenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.
GitHub · ★ 17,825 View →
Writing Open source
Agent skill that removes signs of AI-generated writing from text
GitHub · ★ 54,922 View →