genpark-blackboard-architecture-shared-memory-skill
mcp
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Blackboard pattern architecture for multi-agent coordination with Knowledge Sources and prioritized agenda controller.
README.md
genpark-blackboard-architecture-shared-memory-skill
Blackboard pattern architecture for multi-agent coordination with Knowledge Sources and prioritized agenda controller.
Part of the GenPark AI Agent Skills Matrix. Production-ready, zero external dependencies, native Python 3.9+ standard library.
Architecture
flowchart TD
A[Environment Perception / Goal] --> B[Blackboard / BDI Deliberator]
B --> C[Contract Net / Task DAG Pipeline]
C --> D[Subsumption Action Execution]
D --> E[MCP Protocol Endpoint]
Features
- Zero Third-Party Dependencies: Pure Python standard library (
collections,heapq). - Autonomous Swarm Intelligence: Blackboard pattern, Critical Path DAG scheduler, Contract Net Protocol auctions, Subsumption architecture, and BDI reasoning.
- Native MCP Protocol Support: Integrated JSON-RPC 2.0 stdio server ready for Claude Desktop, Cursor, and Windsurf.
Installation
pip install genpark-blackboard-architecture-shared-memory-skill
Or clone directly:
git clone https://github.com/alphaparkinc/genpark-blackboard-architecture-shared-memory-skill.git
cd genpark-blackboard-architecture-shared-memory-skill
python example_usage.py
Quick Start
from client import *
# Refer to example_usage.py for end-to-end execution
Model Context Protocol (MCP) Setup
Add to your claude_desktop_config.json or cursor.json:
{
"mcpServers": {
"genpark-blackboard-architecture-shared-memory-skill": {
"command": "python",
"args": ["-m", "genpark-blackboard-architecture-shared-memory-skill.mcp_server"]
}
}
}
License
MIT License. Copyright (c) 2026 AlphaPark Inc. & Alpha-Park.
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