semvec/pypi-packages huggingface dataset:
longhouse 0.1.1
Longhouse AI Agent Platform - orchestrate AI agents with voice and text
License: MIT
Requires Python: >=3.12

# Zerg Backend (FastAPI)

This is the backend service for Swarmlet/Zerg (API, oikos, commis, SSE/WS).

## Start (repo root)

```bash
make dev
```

## Backend deps

```bash
cd apps/zerg/backend
uv sync
```

## Tests

```bash
make test
```

## Docs

- `AGENTS.md` (repo root) — current architecture + commands
- `docs/DEVELOPMENT.md` — local dev guide
sp-svg-diagram 1.9.0
A library for rendering diagrams to SVG.
License: MIT
Requires Python: >=3.8

SVG Diagram
===========

## Overview

A library for rendering diagrams to SVG. This library does not provide any automatic layout for nodes and edges.

## Documentation

* [Documentation](https://cyberzhg.github.io/SVGDiagram/)
  * [Installation](https://cyberzhg.github.io/SVGDiagram/install.html)
  * [Basic Concepts](https://cyberzhg.github.io/SVGDiagram/concept.html)
  * [Diagram Attributes](https://cyberzhg.github.io/SVGDiagram/diagram_attr.html)
  * [Node Attributes](https://cyberzhg.github.io/SVGDiagram/node_attr.html)
  * [Edge Attributes](https://cyberzhg.github.io/SVGDiagram/edge_attr.html)
  * [Subgraph Attributes](https://cyberzhg.github.io/SVGDiagram/subgraph_attr.html)

## Example

![](https://raw.githubusercontent.com/CyberZHG/SVGDiagram/main/docs/images/example_pentagon.svg)
![](https://raw.githubusercontent.com/CyberZHG/SVGDiagram/main/docs/images/example_pentagram.svg)
![](https://raw.githubusercontent.com/CyberZHG/SVGDiagram/main/docs/images/example_sequential.svg)
![](https://raw.githubusercontent.com/CyberZHG/SVGDiagram/main/docs/images/example_subgraph.svg)
iflow-mcp_jayzeedesign_figma-mcp 0.1.3
Allow your AI coding agents to access figma files & prototypes directly
License: MIT
Requires Python: >=3.12

# Figma MCP Python

[![PyPI version](https://badge.fury.io/py/figma-mcp.svg)](https://badge.fury.io/py/figma-mcp)

Allow your AI coding agents to access Figma files & prototypes directly.
You can DM me for any issues / improvements: https://x.com/jasonzhou1993

<a href="https://glama.ai/mcp/servers/pqweyr4aq9">
  <img width="380" height="200" src="https://glama.ai/mcp/servers/pqweyr4aq9/badge" alt="figma-mcp MCP server" />
</a>

## Quick Installation with pipx

```bash
pipx install figma-mcp
```

### For Cursor:

1. In settings, add an MCP server using the command:
```shell
figma-mcp --figma-api-key=your_figma_key
```

2. OR Add a `.cursor/mcp.json` file in your project:

```json
{
  "mcpServers": {
    "figma-python": {
      "command": "figma-mcp",
      "args": [
        "--figma-api-key=your_figma_key"
      ]
    } 
  }
}
```


### For other IDEs like Windsurf, use an MCP configuration file (e.g., `mcp_config.json`):

```json
{
  "mcpServers": {
    "figma-python": {
      "command": "figma-mcp",
      "args": [
        "--figma-api-key=your_figma_key"
      ]
    } 
  }
}
```


## Install uv and set up the environment
```bash
curl -LsSf https://astral.sh/uv/install.sh | sh
uv venv
source .venv/bin/activate
uv sync
```

## Test locally
```bash
python -m figma_mcp.main
```
judicial-reasoning-framework 0.1.0
Judicial Reasoning Framework - Universal multi-agent reasoning based on judicial logic
License: MIT
Requires Python: >=3.8
Keywords: reasoning, ai, llm, judicial, multi-agent

# JRF Python Bindings

Python bindings for the Judicial Reasoning Framework (JRF) core library.

## Installation

### From source (development)

```bash
# Install maturin
pip install maturin

# Build and install in development mode
cd jrf-python
maturin develop --release

# Or build wheel
maturin build --release
pip install target/wheels/*.whl
```

## Usage

```python
from judicial_reasoning_framework import ForensicDeconstruction
import json

# Create analyzer
forensic = ForensicDeconstruction()

# Analyze a problem
result_json = forensic.analyze("Patient présente fièvre, toux, fatigue depuis 3 jours")
result = json.loads(result_json)

print(f"Facts: {result['facts']}")
print(f"Domain: {result['metadata']['detected_domain']}")
print(f"Confidence: {result['metadata']['confidence']}")
```

## Examples

See `examples/` directory:
- `medical_example.py`: Medical diagnosis example
- `test_bindings.py`: Test suite for bindings

## Development

```bash
# Build in development mode
maturin develop

# Run tests
python examples/test_bindings.py

# Run example
python examples/medical_example.py
```

## License

MIT