Ian-Tharp/CORE

C.O.R.E. is an all-encompassing cognitive architecture I designed as a system for enabling AI technologies to interact fully as a personalized assistant. Autonomous agentic building, workflows, memory, and evolution is just the beginning of what CORE (Comprehension, Orchestration, Reasoning, Evaluation) can enable with LLM technologies. Vibe coded!

46
/ 100
Emerging

CORE helps individuals or small teams create and manage personalized AI assistants that can autonomously handle complex tasks. You provide natural language instructions, and CORE translates them into structured workflows, processes information, makes decisions, and delivers evaluated solutions. This is for anyone who wants to deploy and oversee custom AI agents for personalized assistance and task automation.

Use this if you need a self-hosted platform to build, manage, and evolve AI agents capable of understanding, orchestrating, reasoning, and evaluating tasks from natural language inputs.

Not ideal if you're looking for a pre-packaged AI solution with no customization, or if you prefer cloud-based services over self-hosting.

AI-assistant-creation workflow-automation decision-support-systems agentic-AI personalized-automation
No Package No Dependents
Maintenance 10 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 15 / 25

How are scores calculated?

Stars

14

Forks

5

Language

Python

License

MIT

Last pushed

Feb 18, 2026

Commits (30d)

0

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