Best AI Memory & Search Tools in 2026

Open-source vector database that runs embedded in your app — no server needed. Built for RAG, AI agents, and semantic search with support for text, images, video, and more.

A simple memory server for AI chatbots that stores conversation history and auto-summarizes old messages using Redis and OpenAI.

Memory building blocks for AI agents — lets your AI remember important facts and context across long conversations.

Creates AI agents with long-term memory that remember past conversations and learn over time — like an assistant that never forgets.

Adds AI-powered search to your Supabase database. Find information by meaning, not just keywords, without managing extra infrastructure.

A serverless vector database that charges per request with no idle costs. Works from edge runtimes like Cloudflare Workers. Free tier includes 10K queries per day.

Open-source vector database for AI applications that stores and searches high-dimensional data for semantic search and RAG systems.

Builds a knowledge graph from your data that AI can reason over — your AI understands relationships between concepts, not just keywords.

Gives your AI agents persistent memory — they remember user preferences, past conversations, and learned facts across sessions.

A powerful open-source database for AI applications — handles billions of data points for search, recommendations, and more.

Add AI vector search to your existing PostgreSQL database with one command. Store embeddings next to your user data and query them with regular SQL - no separate vector database needed.

Gives your AI a perfect memory so it can instantly search through millions of documents, emails, or records to find exactly what you need.

An open-source database built for AI search — fast and efficient at finding the most relevant results from massive datasets.

An AI-native database that stores your data in a way AI can understand — search by meaning, not just keywords.

A memory layer for AI chatbots that remembers conversation history and user facts — your chatbot never forgets important context.

Open-source SQL engine that lets you query 40+ apps and services with standard SQL syntax, featuring MCP integration for AI assistants.

A managed memory service that gives your AI agents persistent, personalized memory — your AI remembers every user's preferences and history.

A serverless vector database built on object storage that's 10x cheaper than alternatives — fast search across billions of documents with no infrastructure to manage.

Solves the biggest limitation in AI: memory. While ChatGPT forgets your conversation after a few exchanges, MemGPT remembers everything forever and can analyze documents larger than any LLM's context window by intelligently managing what to keep in active memory.