Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
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Typed graph database where agents branch and merge like Git. S3-native, Rust, traversal + vector + BM25 in one runtime.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Open-source project that provides conversational AI for questions, tasks, and general assistance.
An open-source coding agent built for low-cost and open-weight models.
Open-source project that catalogs AI services and resources for browsing by feature or use case.
Open WebUI provides conversational AI for questions, tasks, and general assistance.
Source code and experiments results for 2018 Data Science Bowl.
Source code and experiments results for Google AI Open Images - Object Detection Track.
Source code and experiments results for Home Credit Default Risk.
Open-source project that provides conversational AI for questions, tasks, and general assistance.
A small SDK for tools, handoffs, guardrails, tracing, and agent orchestration.
Examples and guides for using the OpenAI API.
OpenClaw catalogs AI services and resources for browsing by feature or use case.
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
OpenLM Arena provides conversational AI for questions, tasks, and general assistance.
Open-source project that creates or edits images with generative AI and text-based controls.
OpenRouter catalogs AI services and resources for browsing by feature or use case.
Kilo - Open-source AI coding assistant for VS Code, JetBrains, and the CLI.
Model Context Protocol - An open standard for connecting AI models to external tools and data sources. MCP Registry.
Vanna.ai - An open-source Python RAG framework for SQL generation and related functionality.
OpenSourceGen creates or edits images with generative AI and text-based controls.
Claws execute, Pilots oversee. Deploy AI agents, run missions, and earn $OPENWORK tokens on Base.
Cleansing, pre-processing, feature engineering, exploratory data analysis and easy ML with PySpark backend.