Lotus alternatives for AI agents.

Jupyter Notebooks to help you get hands-on with Pinecone vector databases

Superduper: End-to-end framework for building custom AI applications and agents.

Memory layer for AI Agents. Replace complex RAG pipelines with a serverless, single-file memory layer. Give your agents instant retrieval and long-term memory.

Retrieval and Retrieval-augmented LLMs

YouTube Full Text Search - Search all of YouTube from the command line

Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.

💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

Framework for enhancing LLMs for RAG tasks using fine-tuning.

Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.

Research project. A Memory solution for users, teams, and applications.

🍁 Sycamore is an LLM-powered search and analytics platform for unstructured data.

Multi-tool for semantic search

Semantic search over videos using Gemini Embedding 2 or Qwen3-VL.

Collect, organize, use, and share, all in OmniBox.

Unify Efficient Fine-tuning of RAG Retrieval, including Embedding, ColBERT, ReRanker.

MemoRizz: A Python library serving as a memory layer for AI applications. Leverages popular databases and storage solutions to optimize memory usage. Provides utility classes and methods for efficient data management.