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metadata 
title: LATE.IO
sdk: docker
emoji: 🌍
colorFrom: indigo
colorTo: purple
short_description: Agentic Terraforming anywhere online

======= Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

038c20c (Add Hugging Face metadata to README)

short_description: Agentic Terraforming anywhere online

3a7c0d3 (Add Hugging Face metadata to README)

Agentic Terraforming

Agentic Terraforming is a modular, memory-driven AI framework designed to simulate intelligent agent behavior using document digestion, feedback loops, and real-world integration.

Features

DIGS (Digestive Information Grouping System)

  • Segments documents into 2,000-character blocks
  • Runs 8-path analysis (summary, concept, terms, structure, data, comparison, application, cross-ref)
  • Outputs indexed memory for agents to recall and evolve from

Modular Button Architecture (18 Panels)

  • Button 01: Upload DIGS or agent behaviors
  • Button 02: Run simulation and generate sandbox
  • Button 03: DIGS analysis viewer
  • Button 04: Mind map brain UI
  • Button 05–17: Memory tools, task queues, feedback, OAuth, logging, admin, and more
  • Button 18: Full configuration settings with JSON sync

OAuth Integration

  • Live credential console
  • Dynamic service tokenization
  • Visual status map for all connected services

Agent Profiles & Feedback Loops

  • Customizable agent memory and traits
  • Reinforcement-style feedback tracking
  • Segment-level journaling, historical logs, and audit trail

File Structure 

/backend/               - Flask routes and memory engines
/frontend/              - index.html, templates, visual panels
/data/                  - Agent logs, memory segments, uploads
/docs/                  - System map and install guide
system_settings.json    - Editable config (panel 18)
requirements.txt        - Python dependencies
Dockerfile              - Containerized deployment

How to Run (Local) 

# Clone repo
git clone https://codeberg.org/YOUR_USERNAME/agentic_terraforming.git
cd agentic_terraforming

# Setup environment
python3 -m venv venv && source venv/bin/activate
pip install -r requirements.txt

# Start backend
python backend/app.py

License

MIT — use, remix, extend, and terraform freely.

Agentic Terraforming System

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.

Features

  • Dynamic spreadsheet-driven memory simulation
  • Modular agent system with pluggable logic layers
  • OAuth-based integration with Google, Notion, Reddit, Discord, GitHub, Hugging Face, and more
  • DIGS (Digestive Information Grouping System) for long-term memory structuring
  • Real-time mindmap-based UI
  • Streamlit frontend powered by neural simulation models

How to Use

  1. Upload your CSV or connect a data stream.
  2. Agents will auto-generate based on neuro-segment traits.
  3. Use the interactive interface to visualize agent activity, relationships, and memory state.
  4. Connect external services securely via in-app OAuth prompts.

License

This project is available under a custom license. Commercial or derivative use must be pre-approved. Contact: aiecangrow@gmail.com

© Joseph Andre Yves Lacroix