From a667c1e079efeec6c59587bbe8a321511b8da5b7 Mon Sep 17 00:00:00 2001 From: Vinta Chen Date: Wed, 25 Mar 2026 05:13:48 +0800 Subject: [PATCH] refactor(ai): reorganize AI agent subsections and add mem0 - Rename 'Frameworks' to 'Orchestration' to better reflect the purpose - Extract 'Data Layer' subsection from Frameworks, moving instructor and llama-index there - Rename llama_index display name to llama-index (PyPI package name) - Add mem0 to Data Layer - Rename 'Pretrained Models and Inference' to 'Pre-trained Models and Inference' and update descriptions to match Co-Authored-By: Claude --- README.md | 14 ++++++++------ 1 file changed, 8 insertions(+), 6 deletions(-) diff --git a/README.md b/README.md index cf247bb..1ee9bde 100644 --- a/README.md +++ b/README.md @@ -131,17 +131,19 @@ _Libraries for building AI applications, LLM integrations, and autonomous agents - [django-ai-plugins](https://github.com/vintasoftware/django-ai-plugins) - Django backend agent skills for Django, DRF, Celery, and Django-specific code review. - [sentry-skills](https://github.com/getsentry/skills) - Python-focused engineering skills for code review, debugging, and backend workflows. - [trailofbits-skills](https://github.com/trailofbits/skills) - Python-friendly security skills for auditing, testing, and safer backend development. -- Frameworks +- Orchestration - [autogen](https://github.com/microsoft/autogen) - A programming framework for building agentic AI applications. - [crewai](https://github.com/crewAIInc/crewAI) - A framework for orchestrating role-playing autonomous AI agents for collaborative task solving. - [dspy](https://github.com/stanfordnlp/dspy) - A framework for programming, not prompting, language models. - - [instructor](https://github.com/567-labs/instructor) - A library for extracting structured data from LLMs, powered by Pydantic. - [langchain](https://github.com/langchain-ai/langchain) - Building applications with LLMs through composability. - - [llama_index](https://github.com/run-llama/llama_index) - A data framework for your LLM application. - [pydantic-ai](https://github.com/pydantic/pydantic-ai) - A Python agent framework for building generative AI applications with structured schemas. -- Pretrained Models and Inference - - [diffusers](https://github.com/huggingface/diffusers) - A library that provides pretrained diffusion models for generating and editing images, audio, and video. - - [transformers](https://github.com/huggingface/transformers) - A framework that lets you easily use pretrained transformer models for NLP, vision, and audio tasks. +- Data Layer + - [instructor](https://github.com/567-labs/instructor) - A library for extracting structured data from LLMs, powered by Pydantic. + - [llama-index](https://github.com/run-llama/llama_index) - A data framework for your LLM application. + - [mem0](https://github.com/mem0ai/mem0) - An intelligent memory layer for AI agents enabling personalized interactions. +- Pre-trained Models and Inference + - [diffusers](https://github.com/huggingface/diffusers) - A library that provides pre-trained diffusion models for generating and editing images, audio, and video. + - [transformers](https://github.com/huggingface/transformers) - A framework that lets you easily use pre-trained transformer models for NLP, vision, and audio tasks. - [vllm](https://github.com/vllm-project/vllm) - A high-throughput and memory-efficient inference and serving engine for LLMs. ## Deep Learning