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AI Context Linter is a GitHub Action that checks AI coding context files such as CLAUDE.md, .cursorrules and AGENTS.md for security issues, structural problems and AI anti-patterns. It auto-detects context files and runs 12 rules, including detection of hardcoded API keys and leaked home directory paths. Rules cover structure, vague or conflicting instructions and file-type specifics, with configurable token limits and disabled rules.
Alfred is a productivity application for macOS that uses hotkeys, keywords and text expansion to search the Mac and the web and to control the Mac through custom actions. It includes clipboard history, snippets, a calculator and 1Password bookmark access. Additional automation workflows are available with the Powerpack.
Asana is a work and project management platform for human-agent teams. It provides tools for planning, automating, and executing workflows, including agentic work management, AI teammates, no-code automations, and integration with various services.
An open-source platform for building AI agents, internal apps, tables and automations. Agents answer employee questions and run workflows such as creating records, routing approvals and updating apps, while apps and tables connect teams to databases, spreadsheets and business systems. It can be self-hosted or run via Budibase Cloud.
Role-playing approach for LLMs and auto-agents like BabyAGI & AutoGPT.
ChatGPT is an AI chat or model resource for writing, coding, research, prompts, and assistant workflows.
A Botpress-published guide that explains large language model (LLM) agents, including their definition, core features, common types, and improvement techniques, and notes that LLM agents are AI systems for natural language tasks such as customer support and data analysis.
Custom Api is an AI chat or model resource for writing, coding, research, prompts, and assistant workflows.
Data Engineering Podcast is a show that covers the tools, techniques, and challenges of the data engineering discipline. Its episodes address topics including databases, workflows, automation, and data manipulation, and it is available for listening on a range of podcast platforms.
Deep ML supports machine learning models, deployment, inspection, datasets, or AI development workflows.
An agentic LLM for autonomous data science that performs data preparation, analysis, modeling, visualization, and report generation without human intervention. It supports open-ended research on structured, semi-structured, and unstructured data sources, and the model, code, training data, and demo are open-sourced.
DiamantAI is a Substack newsletter authored by Nir Diamant that covers artificial intelligence. It publishes latest techniques, breakthroughs, insights, and unique tutorials for its over 40,000 subscribers. The newsletter is described as a top 0.1% AI resource and also maintains a GitHub repository on advanced RAG techniques with thousands of stars.
Repository containing references and code for the book Distributed Machine Learning Patterns from Manning Publications by Yuan Tang. The book covers applying patterns to build scalable and reliable machine learning systems, constructing pipelines with data ingestion, distributed training and model serving, and automating tasks with Kubernetes, TensorFlow, Kubeflow and Argo Workflows.
DressMe.AI provides machine-learning models, research, training resources, or evaluation tools.
Elicit is an artificial intelligence tool built for research and decision-making use cases. Its core functions include synthesizing evidence, analyzing research landscapes, designing programs and experiments, drafting proposals, and assessing tradeoffs. The tool is intended to support researchers and related professional workflows.
The Environmental Data Initiative preserves and provides open access to environmental and ecological data, with information-rich metadata and a secure, persistent archive. It supports publishing and reusing data through tools, a REST API for workflow automation, and personalized data catalogs. Authentication for API access becomes required on July 30, 2026.
fenn is a Python framework for building machine learning and deep learning workflows and LLM agents. It provides prebuilt trainers, agent templates, logging, and configuration management, with YAML configuration parsed and injected into the entrypoint with CLI override support. It is released under the MIT license.
Flight Fare Prediction is a GitHub repository that implements a machine learning project for predicting flight fares. The repository includes documentation such as a problem statement and topics related to the prediction task.
Google tool for building, testing, and experimenting with Gemini prompts, models, and API workflows.
Magenta is an open source research project exploring the role of machine learning as a tool in the creative process, focused on art and music. It includes Magenta Studio, a collection of music plugins for Ableton Live, and Magenta RealTime 2, an open model and real-time neural synthesis engine.
HF Learn supports machine learning models, deployment, inspection, datasets, or AI development workflows.
joinly is a connector middleware that enables AI agents to join and actively participate in video calls. Its MCP server provides meeting tools and resources for tasks and real-time interaction by voice or chat during meetings, across Google Meet, Zoom, and Microsoft Teams. It is open-source and self-hosted.
Kimi K2 is a large language model series developed by Moonshot AI. The repository includes model introductions, key features, model variants, summaries, and evaluation results. It is hosted on GitHub as an open-source project.