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--- |
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title: LATE.IO |
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sdk: docker |
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emoji: 🌍 |
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colorFrom: indigo |
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colorTo: purple |
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short_description: Agentic Terraforming anywhere online |
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--- |
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======= |
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference |
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======= |
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>>>>>>> 038c20c (Add Hugging Face metadata to README) |
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======= |
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short_description: Agentic Terraforming anywhere online |
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--- |
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>>>>>>> 3a7c0d3 (Add Hugging Face metadata to README) |
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# Agentic Terraforming |
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Agentic Terraforming is a modular, memory-driven AI framework designed to simulate intelligent agent behavior using document digestion, feedback loops, and real-world integration. |
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## Features |
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### DIGS (Digestive Information Grouping System) |
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- Segments documents into 2,000-character blocks |
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- Runs 8-path analysis (summary, concept, terms, structure, data, comparison, application, cross-ref) |
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- Outputs indexed memory for agents to recall and evolve from |
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### Modular Button Architecture (18 Panels) |
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- Button 01: Upload DIGS or agent behaviors |
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- Button 02: Run simulation and generate sandbox |
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- Button 03: DIGS analysis viewer |
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- Button 04: Mind map brain UI |
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- Button 05–17: Memory tools, task queues, feedback, OAuth, logging, admin, and more |
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- Button 18: Full configuration settings with JSON sync |
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### OAuth Integration |
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- Live credential console |
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- Dynamic service tokenization |
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- Visual status map for all connected services |
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### Agent Profiles & Feedback Loops |
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- Customizable agent memory and traits |
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- Reinforcement-style feedback tracking |
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- Segment-level journaling, historical logs, and audit trail |
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--- |
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## File Structure |
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``` |
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/backend/ - Flask routes and memory engines |
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/frontend/ - index.html, templates, visual panels |
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/data/ - Agent logs, memory segments, uploads |
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/docs/ - System map and install guide |
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system_settings.json - Editable config (panel 18) |
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requirements.txt - Python dependencies |
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Dockerfile - Containerized deployment |
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``` |
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--- |
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## How to Run (Local) |
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```bash |
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# Clone repo |
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git clone https://codeberg.org/YOUR_USERNAME/agentic_terraforming.git |
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cd agentic_terraforming |
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# Setup environment |
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python3 -m venv venv && source venv/bin/activate |
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pip install -r requirements.txt |
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# Start backend |
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python backend/app.py |
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``` |
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--- |
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## License |
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MIT — use, remix, extend, and terraform freely. |
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======= |
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# Agentic Terraforming System |
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This is the official deployment of the **Late Liquidity Agentic Terraforming Environment** — an advanced AI system integrating cognitive dataflow, spreadsheet memory mapping, agentic behavior, and multiplexed logic visualization. |
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## Features |
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- Dynamic spreadsheet-driven memory simulation |
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- Modular agent system with pluggable logic layers |
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- OAuth-based integration with Google, Notion, Reddit, Discord, GitHub, Hugging Face, and more |
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- DIGS (Digestive Information Grouping System) for long-term memory structuring |
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- Real-time mindmap-based UI |
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- Streamlit frontend powered by neural simulation models |
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## How to Use |
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1. Upload your CSV or connect a data stream. |
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2. Agents will auto-generate based on neuro-segment traits. |
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3. Use the interactive interface to visualize agent activity, relationships, and memory state. |
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4. Connect external services securely via in-app OAuth prompts. |
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## License |
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This project is available under a custom license. Commercial or derivative use must be pre-approved. Contact: **aiecangrow@gmail.com** |
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© Joseph Andre Yves Lacroix |
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======= |
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