The first open-source Artificial Narrow Intelligence generalist agentic framework Computer-Using-Agent that fully operates graphical-user-interfaces (GUIs) by using only natural language. Uses Visualization-of-Thought and Chain-of-Thought reasoning to elicit spatial reasoning and perception, emulates, plans and simulates synthetic HID interactions.

Situational Awareness Server compatible with TAK clients

PyTAK is a Python package for rapid Team Awareness Kit (TAK) integration.

cot_reports is a Python library for fetching the Commitments of Trader reports of the Commodity Futures Trading Commission (CFTC). The following COT reports are supported: Legacy Futures-only, Legacy Futures-and-Options Combined, Supplemental Futures-and-Options Combined, Disaggregated Futures-only, Disaggregated Futures-and-Options Combined, Tr…

Display Aircraft in TAK - ADS-B to TAK Gateway

Lean implementation of various multi-agent LLM methods, including Iteration of Thought (IoT)

Display Aircraft in TAK

aprscot - APRS to TAK Gateway.

Display Ships in TAK - AIS to TAK Gateway

Garmin inReach to Cursor on Target (CoT) Gateway, for TAK Products.

Python Cursor on Target (CoT) is a Python Module for serializing CoT Events for use with TAK clients & servers

Opensky Network to CoT/ATAK server data converter

Send & Receive Team Awareness Kit (TAK) Packets with Python.

A no-string framework for reasoning over your tabular data rows with any provided LLM

Python library for retrieving the CFTC Commitment of Traders reports

Deepseek-CoT

⚡ OVM for Planning in Mathematical Reasoning

Aircraft classifiers for TAK

About: Implementation of a Dash app for exploring Commitment of Trades reports and searching for correlations between commodity prices.

A PyTAK application that pulls incidents from Citizen's API and pushes it to TAK as a CoT Event.