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genpark-personal-agent-unified-autonomous-copilot-skill

genpark-personal-agent-unified-autonomous-copilot-skill

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genpark-personal-agent-unified-autonomous-copilot-skill

Python 3.9+ License MIT MCP Compatible GenPark AI Zero Dependencies

๐ŸŒ GenPark MCP Hub โ€ข ๐Ÿ“ฆ GenPark Official โ€ข ๐Ÿ“– Documentation

๐Ÿ“Œ Overview & Capability

genpark-personal-agent-unified-autonomous-copilot-skill is a deterministic, high-performance, zero-dependency Python tool and native Model Context Protocol (MCP) server engineered for next-generation personal AI agents (distilling breakthrough capabilities from Today AI, Manus, Cue, Meta, Muse, and Instinct).

Executive Capability: Master cognitive personal copilot integrating Today AI (agenda), Manus (autonomous sandbox), Cue (ambient cues), Instinct (fast reflex), and Muse (episodic memory).

โšก Key Highlights

  • ๐Ÿ Zero External pip Dependencies: Implemented entirely with pure Python standard library for instant zero-overhead execution.

  • ๐Ÿ”Œ Native Model Context Protocol (MCP): Plugs directly into any MCP-compliant client via JSON-RPC 2.0 stdio.

  • ๐Ÿง  Personal Agent Cognitive Architecture: Fast subconscious intent reflexes, ambient screen/clipboard cues, episodic life memory, and deep autonomous task resolution.

  • ๐Ÿ›ก๏ธ Production-Hardened: Comprehensive error handling, boundary validation, and telemetry.

Related MCP server: pasm-mcp-server

๐Ÿ—๏ธ Architecture

graph LR
    User([๐Ÿ‘ค User / Ambient Environment]) -->|Sensory Signals & Goals| Core[โšก genpark-personal-agent-unified-autonomous-copilot-skill Engine]
    Core --> Memory[(๐Ÿง  Episodic & Context Graph)]
    Core --> Executor[๐Ÿค– Autonomous Action Pipeline]
    Executor --> Result[๐Ÿ“Š Proactive Action & Telemetry]
    Result --> User

๐Ÿš€ Quickstart & Usage

1. Direct Python Client Execution

python example_usage.py

2. Programmatic Integration

from client import PersonalAgentUnifiedCopilot

client = PersonalAgentUnifiedCopilot()
result = client.run_unified_copilot_benchmark()
print(result)

๐Ÿ”Œ Model Context Protocol (MCP) Setup

Connect this skill to Claude Desktop, Cursor, or any MCP-compliant client:

claude_desktop_config.json

{
  "mcpServers": {
    "genpark-personal-agent-unified-autonomous-copilot-skill": {
      "command": "python",
      "args": ["/path/to/genpark-personal-agent-unified-autonomous-copilot-skill/mcp_server.py"]
    }
  }
}

Direct MCP Testing

python mcp_server.py --test

๐Ÿ“Š Technical Specifications

Parameter

Type

Required

Description

payload

string / dict

Yes

Sensory inputs, task goals, or ambient telemetry

options

dict

No

Cognitive depth, energy profiles, or execution timeouts

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelogโ€ฆ

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