Data

Tools

Indexes

Applications

Experiments

Open Source Science

envisage

Envisage, AI Planner

https://github.com/krishnashreedhar/envisage

Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ✓
    CITATION.cff file
    Found CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
  • ✓
    .zenodo.json file
    Found .zenodo.json file
  • ○
    DOI references
  • ○
    Academic publication links
  • ○
    Academic email domains
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (6.4%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Envisage, AI Planner

Basic Info
  • Host: GitHub
  • Owner: krishnaShreedhar
  • Language: Python
  • Default Branch: main
  • Size: 38.1 KB
Statistics
  • Stars: 0
  • Watchers: 0
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created 9 months ago · Last pushed 8 months ago
Metadata Files
Readme Citation

README.md

Envisage, AGI Planner

The project is named as Envisage, the act of contemplation or conception of ideas towards a series of desirable future events.

Why work on Envisage? An artificial general intelligence (AGI) system needs to be able to envision new ideas, contemplate on known knowledge, and revise the ideas based time, place, and circumstances. To better understand and resolve the challenges involved in building an AI Agent for such a repetitive yet innovative general task, I'm going to begin by implementing a useful journey planner, and then formalize and generalize the Agent for different tasks that involve complex planning and execution.
Why a Journey Planner? My partner and I like to travel and have great experiences, and I believe the key to a great experience is to think about a comfortable plan ahead of time that is robust to uncertainties. The plan may not be perfect, but every great plan leads to further greatly planned journeys. And, learning to build a great plan is data driven, and a kind of Reinforcement Learning Problem, which triggers me to improve my pre-journey efforts to build a better plan next time. Additionally, although there are a lot of resources online, a great plan is highly personal and needs meticulous planning again and again. I believe this would be useful for many to ease their planning and journey and would improve our collective experience. Thus, a journey planner first, so that I can offload and create journey plans ahead of time and at scale!

Architecture

Build

Usage

References

Owner

  • Name: Shreedhar Kodate
  • Login: krishnaShreedhar
  • Kind: user
  • Location: India

I'm a full time Learner and a Seeker. I know that this world can be a better place to live and I'll do my part to improve it.

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below:"
authors:
  - family-names: Kodate
    given-names: Shreedhar Shreeshail
    orcid: https://orcid.org/0009-0000-6750-9766
title: "Envisage, AGI Planner"
version: 0.0.1
date-released: 2025-06-14
url: "https://github.com/krishnaShreedhar/envisage"

GitHub Events

Total
  • Push event: 11
  • Create event: 1
Last Year
  • Push event: 11
  • Create event: 1