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refactor(ai): reorganize AI agent subsections and add mem0

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- 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 <noreply@anthropic.com>
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@ -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