Marc Mintel
8a2c93fb64
FOLLOW PLUGIN SAFETY GUARD: - Added pre-click XML guard: checks button text before clicking - If button says 'Following'/'Requested'/'Message' → SKIP (prevents opening dangerous Unfollow/Add-to-Favorites bottom sheet) - Changed intent from 'tap Follow or Following button' to 'tap follow button' - This was the root cause of adding users to Close Friends/Favorites VLM VERIFICATION RESILIENCE: - VLM false no longer shortcircuits to return False - VLM verdict is now a SOFT SIGNAL that falls through to structural delta verification as ground-truth tiebreaker - Small local VLMs (7B llava) systematically return false for everything - This was THE root cause of memory poisoning: every action got penalized because VLM always said 'failed', regardless of actual screen state - 22 total poisoned Qdrant entries purged across two sessions ROOT CAUSE CHAIN: VLM always says false → penalties on every action → confidence < 0.2 → circuit breaker blocks ALL core actions → bot can't like/follow/comment → bot clicks random things → adds to favorites, opens bottom sheets TDD: 4 new tests, full suite 110/111 (1 infra flake)
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.
- 🎯 Mission-Driven Navigation: Say goodbye to abstract goal configurations. Define a
strategy(likeaggressive_growthornurture_community) inconfig.yml, and the Goal Decomposer Engine automatically orchestrates the optimal routing and task allocation using enabled plugins. - ⚖️ 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.
🏗️ Project Status (May 2026)
The engine has undergone a massive stabilization refactor to achieve 100% TDD compliance on critical navigation paths.
- Structural Hardening: Purged non-deterministic "Geometric Fallbacks" for navigation tabs. Replaced with strict Resource ID -> Semantic Content validation.
- Grid-Lock Recovery: Implemented O(1) structural fast-paths for grid interactions and state-aware Adaptive Snap logic to prevent erroneous back-presses on profile grids.
- Navigation Reliability: Resolved 'Identity Shadowing' bugs to ensure deterministic detection of
OWN_PROFILE. - Autonomous Recovery: Hardened the
SituationalAwarenessEngine(SAE) to handle anomaly states including system dialogs and persistent survey modals.
🚀 Quick Start
Prerequisites
- A physical Android device or emulator
- Python 3.10+
adb(Android Debug Bridge) installed and added to your PATH
Installation
-
Clone the repository:
git clone https://github.com/marcmintel/grampilot.git cd grampilot -
Initialize Environment & Dependencies:
python3 -m venv .venv source .venv/bin/activate pip install -r requirements.txt -
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.