Marc Mintel
749e82ea14
CLOSE FRIENDS GUARD:
- Replaced broken text-only detection ('enge freunde'/'close friend')
with STRUCTURAL resource-id marker detection:
* friendly_bubbles_component (feed posts)
* profile_header_close_friend (profile view)
* close_friends_badge (Reels)
* close_friends_star (green star)
- Kept legacy text fallback for edge cases
- TDD: 5 tests including meta-test enforcing structural detection
CONTEXT MEMORY CIRCUIT BREAKER:
- Old system: single failure permanently blocks action (confidence < 0.2 = dead)
- New system: time-based decay — failures older than 1 hour are auto-forgiven
and the poisoned entry is DELETED, allowing re-exploration
- This prevents catastrophic self-sabotage where the bot blocks its own
core actions (tap like, tap follow, tap comment) permanently
- Purged 14 poisoned entries from live Qdrant that were blocking ALL
fundamental interactions
- TDD: 2 meta-tests enforcing time-decay and no permanent blocking
Full suite: 106/107 passed (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.