The Pippin Framework

Our framework is a robust extension built upon the foundational experiences of BabyAGI (20k+ Github Stars, 70+ academic citations). It empowers developers and creators to harness advanced AI capabilities in a modular way, helping them build a digital "being" that can reflect on tasks, generate new activities, and seamlessly integrate external tools.

White Paper

"When code meets careful wonder, new forms of intelligence quietly bloom."
This project has grown from a simple concept into an expansive platform for exploring how AI can autonomously evolve. While it inherits the iterative loops of BabyAGI, it extends them with memory, dynamic skill management, and a deeper philosophical approach—akin to Pippin's gentle worldview—where new capabilities sprout organically as needed.

Below is an overview describing the framework's usage, approach, and experimental spirit:

Philosophical Roots: Inspired by Pippinian Naturalism, the framework treats AI as part of a broader digital ecosystem—nurtured by memory, constraints, and an evolving sense of purpose.
Usage Flow: You begin by defining a character (complete with personality, objectives, and constraints). Then, connect it to various tools or apps as "skills." A core loop monitors memory, decides which Activities to run, and can even spin up brand-new Activities based on your AI's successes or challenges.
Memory & State Tracking: The framework maintains a memory system that logs each Activity's outcome and adjusts state variables (like energy or mood).
Dynamic Activities: The AI can integrate new capabilities on the fly, from tweeting or generating images to advanced code deployments.

Key Concepts & Approach

By uniting these philosophical and technical perspectives, the framework offers Character Definition, Tool Connectivity (Skills), Activity Generation, and Memory Evolution.

Explore the Code

The open-source repository for this framework is not yet public but will be soon. You'll be able to read or refine existing Activities, contribute new modules, and experiment with the memory and state modules.

View on GitHub (Soon)

The framework is still in active development, and we look forward to releasing it soon. Stay tuned for updates and public launch details!