GitHub - cpacker/MemGPT: Teaching LLMs memory management for unbounded context 📚🦙

Large Language Model State Machine (llmstatemachine)

Introduction

llmstatemachine is a library for creating agents with GPT-based language models and state machine logic.

• Chat History as Memory : Leverages large context window models, making chat history the primary source of agent memory.


• Custom Python Functions with JSON Generation : Allows the c

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am using my own hardware at home to infer, train, and fine-tune (or trying to; my training efforts have been pretty disasterous so far, but inference works very well).

My current uses of LLM inference are:

• Asking questions of a RAG system backed by a locally indexed Wikipedia dump, mainly with Marx-3B and PuddleJumper-13B-v2,


• Code co-pilot with Rift-C

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