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manual_slop/Readme.md

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Manual Slop

An experimental, high-density AI orchestration engine designed for expert developers. Manual Slop provides a strictly controlled environment for executing complex, multi-tier AI workflows with deterministic human-in-the-loop (HITL) overrides.


1. Technical Philosophy

Manual Slop is not a chat interface. It is a Decoupled State Machine built on the principle that AI reasoning should be observable, mutable, and interruptible. It bridges high-latency AI execution with a low-latency, retained-mode GUI via a thread-safe asynchronous pipeline.

Core Features

  • Hierarchical MMA (4-Tier Architecture): Orchestrate complex tracks using a tiered model (Orchestrator -> Tech Lead -> Worker -> QA) with explicit token firewalling.
  • The Execution Clutch: A deterministic "gear-shifting" mechanism that pauses execution for human inspection and mutation of AI-generated payloads.
  • MCP-Bridge & Tooling: Integrated filesystem sandboxing and native search/fetch tools with project-wide security allowlists.
  • Live Simulation Framework: A robust verification suite using API hooks for automated visual and state assertions.

2. Deep-Dive Documentation

For expert-level technical details, refer to our specialized guides:


3. Setup & Environment

Prerequisites

  • Python 3.11+
  • uv for high-speed package management.

Installation

  1. Clone the repository.
  2. Install dependencies:
    uv sync
    
  3. Configure credentials in credentials.toml:
    [gemini]
    api_key = "YOUR_KEY"
    [anthropic]
    api_key = "YOUR_KEY"
    

Running the Engine

Launch the main GUI application:

uv run gui_2.py

To enable the Hook API for external telemetry or testing:

uv run gui_2.py --enable-test-hooks

4. Feature Roadmap (2026)

  • DAG-Based Task Execution: Real-time visual tracking of multi-agent ticket dependencies.
  • Token Budgeting & Throttling: Granular control over cost and context accumulation per tier.
  • Advanced Simulation Suite: Expanded visual verification for multi-modal reasoning tracks.