github.com
Framework to connect a flow of ML models by applying graph theory.
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github.com
IWE is a Markdown knowledge graph tool offering an LSP for editors, a CLI and MCP memory for AI agents. It stores notes as connected Markdown documents in a project folder, usable from Neovim, Helix, VS Code, Zed, the CLI or Claude/Codex. Neither the CLI nor the Mac app includes an AI model.
kompas.ai
Kompas is a tool for capturing ideas, connecting them and developing them into writing. Sessions build a graph that becomes writing. A free desktop version is local-first and open source, and a Pro Cloud version offers cross-device sync and built-in AI.
docs.langchain.com
LangGraph is a low-level orchestration framework and runtime for building, managing, and deploying long-running, stateful AI agents. It provides fine-grained control to combine deterministic hand-coded steps with LLM-driven agentic steps within the same workflow graph, allowing users to build custom agents that meet specific application requirements.
github.com
Marquez is an open source metadata service for collecting, aggregating and visualizing a data ecosystem's metadata. It maintains provenance of how datasets are consumed and produced and provides visibility into job runtime and dataset access. Metadata is collected via OpenLineage, and a web UI shows job and dataset dependencies through a lineage graph.
matplotlib.org
Matplotlib is a comprehensive Python library for creating static, animated, and interactive visualizations. It supports publication quality plots, interactive figures that zoom, pan and update, customizable visual styles and layouts, and exporting to many file formats. It can be embedded in JupyterLab and graphical user interfaces, and third-party packages extend and build on its functionality.
github.com
MCP Memory Service is an open-source tool that provides persistent memory for AI agent pipelines including LangGraph, CrewAI, AutoGen and Claude, with a REST API, knowledge graph and autonomous consolidation functionality.
kennybastani.com
Meaning of is the personal blog of Kenny Bastani, covering open source software, graph databases, cloud native architectures, information theory, artificial intelligence, and machine learning. As of September 18, 2025, the blog is no longer maintained, with readers directed to the author's GitHub or LinkedIn profiles.
github.com
MeTA is a modern C++ data sciences toolkit. It provides text tokenization including deep semantic features like parse trees, inverted and forward indexes with compression and caching strategies, ranking functions for searching indexes, topic models, classification algorithms, graph algorithms, language models, a CRF implementation for POS-tagging and shallow parsing, and wrappers for liblinear and libsvm.
learn.microsoft.com
Microsoft Agent Framework is a framework for building AI agents and multi-agent workflows in .NET, Python, and Go. It provides agents that use LLMs to process inputs, call tools and MCP servers, and generate responses, plus functional and graph-based workflows that connect agents and functions through explicit execution paths. It includes model clients, agent sessions, context providers, middleware, and MCP clients.
netron.app
Netron is a visualizer for neural network, deep learning, and machine learning models. It allows users to view model architectures and graphs. The tool is available as a web application at netron.app.
Creates or edits images with generative models and visual controls.
github.com
Typed graph database where agents branch and merge like Git. S3-native, Rust, traversal + vector + BM25 in one runtime.
paperspace.com
Paperspace is a cloud GPU platform now owned by DigitalOcean. It provides access to NVIDIA H100 GPUs for AI and machine learning workloads, rendering, 3D graphics, simulations and cloud gaming. Users can develop, train and deploy AI applications on the platform, which is used by over 500,000 builders. Its product offerings include Gradient for AI model development, hosted notebooks, cloud desktops and deployment tools, with solutions tailored for machine learning, enterprise virtual desktops, gaming and rendering use cases.
github.com
A Julia framework for probabilistic graphical models.
github.com
pgmpy is a Python toolkit for causal and probabilistic reasoning using graphical models. It implements data structures for models such as DAGs, PDAGs, MAGs, PAGs, Bayesian Networks, Dynamic Bayesian Networks and Structural Equation Models, with algorithms for tasks including causal discovery, causal identification, inference, model validation, parameter estimation and simulations. Algorithms follow a unified composable API and are scikit-learn compatible when possible. It is available on PyPI and conda.
playgroundai.com
Playground is an AI design tool for creating logos, stickers, merch, posters, social media graphics and other designs without experience. It provides templates across 24 categories and uses image models including GPT Image 2, Nano Banana Pro and Seedream. Paid plans add faster generation, credits, upscaling, background removal and commercial use licensing.
plotly.com
Plotly's Python graphing library is a free, open-source library for building interactive, publication-quality charts and graphs. It supports chart types including line plots, scatter plots, bar charts, error bars, box plots, histograms, heatmaps, subplots, multiple-axes, polar charts, and bubble charts. The source is available on GitHub.
potpie.ai
Potpie is an AI-native SDLC automation platform. It maps how systems work into a context graph and runs AI agents on it inside the user's own VPC, according to the page. The documentation page describes creating and updating documentation from connected product knowledge.
github.com
prompt-to-asset is a GitHub repository containing an MCP server and command-line interface tool for generating production-grade software assets including logos, app icons, favicons, Open Graph images and illustrations. The tool routes requests across more than 30 image models, supports zero-key initial usage, and includes validation functionality to review assets before they are shipped.
github.com
Pydantic AI is a Python AI SDK described as a typed, extensible agent loop that works with any model. It covers agents, realtime voice, image generation and embeddings. Separate packages include Pydantic Evals, Pydantic Graph, genai-prices and Monty. The repository is MIT licensed.
github.com
PyOD is an open-source Python library hosted on GitHub for anomaly detection across tabular, time series, graph, text, image and audio data. It includes over 60 anomaly detectors, an ADEngine orchestration tool, and supports agentic workflows for use with AI agents.
github.com
PyQtGraph is a pure-Python graphics library that uses the Qt framework. It is intended for mathematics, scientific and engineering applications, and relies on numpy for number crunching, Qt's GraphicsView for 2D display and OpenGL for 3D display. It supports Python 3.12+, Qt 5.15 or 6.8+, and numpy 2.2+.
github.com
PyStanfordDependencies is a Python interface for converting Penn Treebank trees to Stanford Dependencies and Universal Dependencies. It offers a get_instance() function with subprocess or jpype backends, and convert_tree() or convert_trees() methods returning Token objects. Visualization options include asciitree, Graphviz dotgraphs, and interactive xdot windows. A Stanford CoreNLP or Parser jar file can be supplied, or downloaded automatically.