Agent skill that turns natural language, code, Terraform/K8s, SQL, OpenAPI, AsyncAPI, Protobuf and GraphQL sources into editable, tested draw.io architecture diagrams: incremental sync, multi-view projection, drift diff, CI architecture tests, whiteboard derasterize, interactive HTML/PPTX/Mermaid exports.
The open-source context layer for AI agents and enterprise AI search. Permission-aware search and cited answers across 30+ sources, including Slack, Drive, Jira, GitHub and Microsoft 365, for people and agents through MCP, SDKs and built-in agents. Self-hosted or Cloud.
The Places365-CNNs for Scene Classification
A simple python library to interact with Microsoft Graph and Office 365 API
- python
- microsoft-graph-api
- onedrive
- mailbox
Microsoft 365 & Microsoft Graph Library for Python
- office365
- sdk-python
- sharepoint
- outlook
Topic → 4K narrated video for coding agents. v5.3.0: local TTS (edge free + azure, no external engine), manifest-based Asset Engine, Remotion composition, cost-gated AI generation, Bilibili/YouTube/Xiaohongshu/Douyin/WeChat Channels
An IMAP/POP/SMTP proxy that transparently adds OAuth 2.0 authentication for email clients that don't support this method. Keep legacy email clients working with Exchange Online, Gmail and other providers.
TREVORspray is a modular password sprayer with threading, clever proxying, loot modules, and more!
AutoRclone: rclone copy/move/sync (automatically) with thousands of service accounts
- rclone
- service-accounts
- google-drive
- google-cloud-apis
Untitled Goose Tool is a robust and flexible hunt and incident response tool that adds novel authentication and data gathering methods in order to run a full investigation against a customer’s Azure Active Directory (AzureAD), Azure, and M365 environments.
TOMC Memory: CPU context compression and task memory for Codex, Claude Code, Cursor, TRAE, WorkBuddy and other MCP clients.
Auto Ontology is a Python framework for building semantic, graph-based reasoning layers over data. It enables deterministic query generation, better context retrieval, and more explainable AI for LLM and agent workflows.