Moss alternatives for AI agents.

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

Lite & Super-fast re-ranking for your search & retrieval pipelines. Supports SoTA Listwise and Pairwise reranking based on LLMs and cross-encoders and more. Created by Prithivi Da, open for PRs & Collaborations.

A persistent, unified memory layer for all your AI agents (e.g. Claude Code, Codex), backed by Markdown and Milvus.

Optimized LLM-Powered Data Processing: up to 1000x speedups with fast, accurate query processing, that's as simple as writing Pandas code

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

Incremental engine for long horizon agents 🌟 Star if you like it!

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.

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

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

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

The Linux OS for AI Agents — Persistent memory, autonomy, and time-awareness for any LLM. Own the state. Rent the intelligence.

Full-stack AI app generator — FastAPI + Next.js with AI Agents, RAG, streaming, auth, and 20+ integrations out of the box.

Knowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG.

Multi-tool for semantic search

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