A no-code RAG server that keeps answers in sync with your documents. Works with 8 vector databases. Built on Pathway.
LlamaIndex is the document processing platform for AI
Self-evolving Context Database for AI Agents. Unify Agent Memory, Knowledge RAG and Skills.
π PageIndex: Document Index for Vectorless, Reasoning-based RAG
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory with small models for free
[MLsys2026 Best Paper]: https://arxiv.org/abs/2506.08276. RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.
π‘ All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
Knowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG.
Local-first AI job intelligence workbench for scraping roles, ranking fit, and generating tailored application materials.
Open-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.
The backend agents build with - Multimodal database, orchestration, and serving in one file
The open document intelligence platform for builders and hackers - DMS for the agentic world
Python SDK for Milvus Vector Database
A 7-layer memory operating system for Hermes Agent β persistent memory with Qdrant, structured facts, fabric recall, auto-curated wiki, and surgical context injection. Runs locally, any LLM provider.
Python client for Qdrant vector search engine
local-first semantic code search engine
Benchmark for vector databases.
ID-based RAG FastAPI: Integration with Langchain and PostgreSQL/pgvector
A cyber brain for your AI. It never forgets a detail, remembers exactly what you said, and learns how you work over time. Free, local, works with Cursor, Claude Code, Codex, OpenClaw, Hermes and more. MIT.
Long-term memory for AI assistants. Graph + vector store that recalls decisions, relationships, and context across sessions.
RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connect external tools and data sources.
Encrypted, fully offline agentic memory. One click install, GUI w/ memory map, all OS and agents. Superior memory creation, storage and retrieval.
Not another ChatGPT wrapper. This is a local-first tool that turns your notes, web pages, PDFs and audio/video into a personal knowledge graph β running entirely on your own machine.
Drop-in AI memory layer with 2x faster retrieval and 10x lower cost. Fully compatible with Mem0 API. Migrate in 5 minutes without any code changes. Self-host for free.
Zero downtime embedding upgrades
Makra is a memory layer between the web and your AI agents. It serves real-time structured data from the open web at the cost of a vector search.