skald

R2R ingests documents, images, audio, and other content into a self-hosted knowledge base, then exposes hybrid search, cited RAG, knowledge graphs, and a multi-step research agent through a REST API. Python and JavaScript clients handle document management and retrieval. It can run in a lightweight mode or a fuller Docker deployment, and normally requires an API key for the selected language model.

Not Human Search indexes websites using signals such as llms.txt, OpenAPI descriptions, structured APIs, and MCP endpoints, then ranks them for agent-oriented use. People can search through the site or REST API, while compatible agents can use its MCP server to find services, inspect site details, and check a URL score. It is aimed at developers building machine-readable web workflows.

gophernotes adds a Go kernel to Jupyter Notebook and nteract, allowing live Go code to sit alongside equations, visualizations, and explanatory text in shareable documents. It evaluates code through the gomacro interpreter. On Windows, gomacro cannot use the required plugin support for third-party packages, so those notebooks should be run through the documented Docker setup.

AgentBench measures how well LLMs act autonomously across eight interactive environments, including database and operating-system tasks. The current repository carries a function-calling version integrated with AgentRL, while the older benchmark remains available as v0.1. Running the suite requires Docker, and Python 3.9 is recommended because several scientific dependencies are pinned to older versions.