Marc Mintel 82bf931b0e fix: VLM guard rejects following-count as 'hallucinated nav tab' + back-press circuit breaker
Root cause: VLM Structural Guard enforced 'must be at bottom' for ALL
NAV_INTENT_KEYWORDS including 'following'/'follower'. But these are
profile stats at Y≈246 (top of screen), not nav tabs. The inner
_structural_sanity_check correctly checks for 'tab' in intent before
enforcing bottom-zone requirement — the VLM guard was inconsistent.

Fix 1: Align VLM guard with inner guard — only enforce bottom-zone
       requirement for intents explicitly containing 'tab'.

Fix 2: Add back-press circuit breaker (MAX_CONSECUTIVE_BACK=3). If GOAP
       presses back 3 times on the same screen without any transition,
       abort immediately to prevent exiting Instagram entirely.

95 unit tests pass.
2026-04-24 21:58:52 +02:00
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GramPilot


Full Self-Driving for Instagram.
An autonomous Agentic Engine that navigates the Instagram App like a human.

Originally derived from GramAddict, completely re-architected.

Created by Marc Mintel <marc@mintel.me>


🏎️ What is GramPilot?

GramPilot is not a traditional script. Traditional bots rely on fixed UI locators (like XPaths) or external APIs, causing them to crash with every Instagram update or get banned within days.

GramPilot introduces a Telepathic Full Self-Driving (FSD) approach to UI navigation: It uses a 3-Stage Resolution Cascade backed by CPU Fast-Paths, Ollama Vector Similarity, and OpenRouter LLMs (Gemini/Qwen) to "read" the screen, understand context, and learn new UI layouts asynchronously.

If Instagram updates its app and moves a button, GramPilot doesn't crash. It falls back to its Agentic LLM reasoning, dynamically reasons about the new layout using raw XML structure, clicks the right button, and never hallucinates on that button again.

Core Features

  • 🚫 Zero Limits Configuration: Forget about configuring "max_likes" or "delays". GramPilot uses a Dopamine Pacing Engine to simulate human boredom. If the content isn't interesting, it skips it or ends the session early.
  • ⚖️ Active Inference (Shadow Mode): The bot continuously predicts the outcome of its clicks. If it lands on a popup instead of a profile, it registers a "Prediction Error", presses back, and dynamically recalibrates without panicking.
  • ⛩️ Telepathic Engine: A strictly tiered resolution cascade (Keyword -> Vectors -> LLM) that ensures 90% of navigation happens at 0-token cost while maintaining fallback AI resilience.
  • 🧬 Resonance Oracle: The bot only interacts with content that matches a pre-defined persona aesthetic, completely bypassing spam or low-quality content.
  • 🛡️ Honeypot Radome: Instagram plants invisible, 1x1 pixel trap buttons for bots. Our Radome Sensor sanitizes the XML view before the agent ever sees it, mathematically guaranteeing evasion of tracker traps.

🚀 Quick Start

Prerequisites

  • A physical Android device or emulator
  • Python 3.10+
  • adb (Android Debug Bridge) installed and added to your PATH

Installation

  1. Clone the repository:

    git clone https://github.com/marcmintel/grampilot.git
    cd grampilot
    
  2. Initialize Environment & Dependencies:

    python3 -m venv .venv
    source .venv/bin/activate
    pip install -r requirements.txt
    
  3. Start the Engine:

    python3 run.py --config config.yml
    

Note

Unlike legacy bots, GramPilot requires zero maintenance. It will automatically re-learn the UI over time using its integrated Qdrant memory vectors.

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