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Published directory entries matching your search.
This is a Deloitte Netherlands resource focused on responsible enterprise decision-making using knowledge-enriched generative AI. It explains how combining knowledge graphs with generative AI can enhance business decision-making, innovation, and operational efficiency by aligning AI outputs with organizational strategic goals and addressing knowledge gaps to improve output accuracy and relevance.
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.
Graphlit is a context layer for AI agents. It provides real-time synchronization across services including Slack, GitHub, and Jira, operates via a single API with no operations overhead, and includes built-in semantic search.
A curated list of fraud detection papers from conferences including AAAI, CIKM, ICML, IJCAI, KDD, ICDM, and WWW. It also references similar collections about graph classification and other papers with implementations.
A curated list of Monte Carlo tree search papers with implementations, organized by conference and journal sources including NeurIPS, ICML, CVPR, ACL, AAAI, and others. The repository also links to similar collections covering graph classification, gradient boosting, and fraud detection papers.
Explainpaper is a tool for reading research papers. Users highlight confusing text to get explanations, and can ask follow-up questions. It offers plans from a free tier to paid Pro and Teams options, with Pro including advanced AI models and clickable explanations for graphs, figures and equations.
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.
Aito.ai is a predictive database that delivers instant, calibrated predictions from a user's live data through single queries. It supports use cases including predictive accounting, ERP, e-commerce, and application functionality, with capabilities for predictions, recommendations, classification, smart search, knowledge graphs, and AI agents. It offers a free tier for development and production licensing scaled to usage.
Diffusionbee Stable Diffusion UI is a GitHub-hosted project that provides a graphical user interface for running Stable Diffusion locally on macOS. It supports Intel and M1 Mac computers, includes a one-click installer, and requires no additional dependencies or technical knowledge to operate. It is listed under the AI & Machine Learning category focused on AI image generation.
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.
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.
SwarmVault is a local-first tool that turns documents, code, transcripts, notes and URLs into a markdown wiki and a local knowledge graph for AI agents. It follows a three-layer architecture based on a pattern described by Andrej Karpathy. A first run requires no API keys, using a built-in heuristic provider that runs locally and offline.
VeritasGraph is an open-source knowledge graph and GraphRAG framework. It supports multi-hop reasoning, ontology-aware retrieval, and verifiable attribution over user data, using nodes, edges, RDF, and linked data. The project runs locally or in the cloud.
