Vector Databases & AI Memory

thedotmack/

claude-mem

Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More

Mintplex-Labs/

anything-llm

Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience

mem0ai/

mem0

Universal memory layer for AI Agents

pathwaycom/

llm-app

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.

meilisearch/

meilisearch

A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.

MemPalace/

mempalace

The best-benchmarked open-source AI memory system. And it's free.

run-llama/

llama_index

LlamaIndex is the leading document agent and OCR platform

milvus-io/

milvus

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

VectifyAI/

PageIndex

📑 PageIndex: Document Index for Vectorless, Reasoning-based RAG

qdrant/

qdrant

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

onyx-dot-app/

onyx

Open Source AI Platform - AI Chat with advanced features that works with every LLM

NirDiamant/

RAG_Techniques

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.

topoteretes/

cognee

Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.

rohitg00/

agentmemory

#1 Persistent memory for AI coding agents based on real-world benchmarks

humanlayer/

12-factor-agents

What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?

screenpipe/

screenpipe

YC (S26) | AI that knows what you've seen, said, or heard. Records everything you do, say, hear 24/7, local, private, secure. Connect to OpenClaw, Hermes agent and 100+ apps

vectorize-io/

hindsight

Hindsight: Agent Memory That Learns

Tencent/

WeKnora

Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.

weaviate/

weaviate

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​.

memvid/

memvid

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.

MemoriLabs/

Memori

Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.

alibaba/

zvec

A lightweight, lightning-fast, in-process vector database

NevaMind-AI/

memU

Personal memory for agents - fast memory retrieval, self-evolving skills, and lower cost.

neuml/

txtai

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

StarTrail-org/

LEANN

[MLsys2026]: RAG on Everything with LEANN. Enjoy 97% storage savings while running a fast, accurate, and 100% private RAG application on your personal device.

RyanCodrai/

turbovec

A vector index built on TurboQuant, written in Rust with Python bindings

langchain4j/

langchain4j

LangChain4j is an idiomatic, open-source Java library for building LLM-powered applications on the JVM. It offers a unified API over popular LLM providers and vector stores, and makes implementing tool calling (including MCP support), agents and RAG easy. It integrates seamlessly with enterprise Java frameworks like Quarkus and Spring Boot.

zilliztech/

claude-context

Code search MCP for Claude Code. Make entire codebase the context for any coding agent.

simular-ai/

Agent-S

Agent S: an open agentic framework that uses computers like a human

lancedb/

lancedb

Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.