Memory & RAG AI agent tools
40 memory & RAG tools in the AgentScout directory, each with a link-checked listing. Memory layers, vector and graph stores, and document parsers that give agents long-term memory and let them search your files: tools like Mem0, Zep, Supermemory, Cognee, LlamaParse and MarkItDown.
There are 40 memory & RAG tools: 36 open source, 4 pricing on the maker's site.
Tasks in this category
Headroom
Library, proxy and MCP server that compresses tool outputs, logs, files and RAG chunks locally before they reach the LLM, cutting tokens for coding agents.
Added
MemPalace
Local-first AI memory system that stores conversations verbatim with a pluggable backend and serves recall to agents without API calls.
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llmware
Framework for building private, local RAG and agent applications with small specialized models on AI PCs, edge and self-hosted setups.
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memU
Lightweight memory system that gives Codex, Claude Code, Cursor and other agents a shared memory across sessions and devices and distills reusable skills.
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txtai
All-in-one Python framework for semantic search, LLM orchestration and agents built on an embeddings database of vector, graph and relational indexes.
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UltraRAG
Low-code MCP-based framework from OpenBMB for building and debugging complex RAG pipelines with visible reasoning logic.
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Basic Memory
Persistent memory for Claude, Codex and Cursor stored as local Markdown knowledge, available open source or as a hosted cloud workspace.
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LeanCTX
Open-source context gateway that sits between AI tools and your code and data to control and shrink what the model sees.
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SimpleMem
Research-backed lifelong memory library for LLM agents that stores, compresses and retrieves text and multimodal memories, usable over MCP.
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Knowhere
Document parsing and retrieval system that turns messy files into structured, navigable memory for AI agents and RAG.
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Mnemosyne
Zero-cloud, SQLite-backed memory layer for Hermes, Claude Code, Cursor, Codex and custom agents with a single Python dependency.
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Memanto
Memory agent that manages what your other agents keep, resolve and forget across platforms.
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MarkItDown
Microsoft's Python tool and MCP server that converts PDFs, Office documents, images, audio and web pages to Markdown for LLM and agent pipelines.
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OpenViking
Context database for AI agents that keeps memory, knowledge and skills in one inspectable virtual filesystem agents can navigate.
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Qdrant MCP Server
Official Qdrant MCP server that lets agents store and retrieve memories and documents in the Qdrant vector database.
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Zep
Context layer that unifies business data, documents and conversations into memory so agents complete tasks correctly.
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Pieces
AI memory layer that captures context from your work so you and your AI tools can recover decisions and resume where you left off.
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Extend MCP
Extend's MCP server for turning documents into structured data: parse, extract, classify, split and fill PDF forms.
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LlamaParse
LlamaIndex's document processing platform that parses PDFs, scans and Office files into markdown or JSON and extracts, classifies and indexes them for agents.
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Supermemory
Memory and context engine for agents with an API, app and MCP server, which can also run fully locally.
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Mem0
Memory layer for AI agents.
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Activeloop
Deep Lake, a multimodal database for AI that stores vectors, images, text and video so agents and RAG apps can search and retrieve them.
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LanceDB
Open-source multimodal vector database for search, RAG and agent memory.
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Claude-Mem
Gives coding agents memory across sessions by capturing what they do, compressing it and feeding the relevant context back in later.
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RAGFlow
Open-source RAG engine with deep document parsing and agent features for building grounded question-answering over your files.
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Hindsight
Agent memory system that stores experiences and learns from them so agents improve over time.
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PageIndex
Document index for reasoning-based, vectorless RAG that lets agents navigate long documents like a table of contents.
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Cognee
Open-source memory platform that builds knowledge graphs so agents keep long-term memory.
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Graphiti
Builds real-time, temporal knowledge graphs that serve as memory for AI agents.
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AgentMemory
Persistent memory layer for AI coding agents.
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Chroma
Open-source search and vector database widely used for agent memory and RAG.
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TencentDB-Agent-Memory
Team-level memory hub that turns conversations, docs and code into shared memory for agents.
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EverOS
Local-first, portable memory layer for AI agents stored as Markdown.
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MemOS
Memory operating system for LLMs and agents with persistent memory and retrieval.
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Honcho
Memory library and service for building stateful agents that remember users.
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Acontext
Memory layer that stores agent experience as reusable skills.
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ReMe
Memory management kit for agents.
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seekdb
AI-native search database for agent storage combining vector, text and structured data.
Added
MemMachine
Universal memory layer for AI agents.
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Agentset
Open-source RAG platform for building agents and apps that answer accurately from your documents.
Added
Top memory & RAG repos on GitHub (35)
| Repo | GitHub stars | Licence | Last push |
|---|---|---|---|
| MarkItDown ↗ | 190,824 | MIT | 2026-10-04 |
| Claude-Mem ↗ | 101,230 | Apache License 2.0 | 2026-10-17 |
| RAGFlow ↗ | 92,335 | Apache License 2.0 | 2026-10-17 |
| Headroom ↗ | 75,629 | Apache License 2.0 | 2026-10-17 |
| Mem0 ↗ | 67,147 | Apache License 2.0 | 2026-10-14 |
| MemPalace ↗ | 59,622 | MIT | 2026-10-18 |
| Hindsight ↗ | 50,483 | MIT | 2026-10-16 |
| OpenViking ↗ | 40,217 | GNU Affero General Public License v3.0 | 2026-10-18 |
| PageIndex ↗ | 39,186 | MIT | 2026-10-16 |
| Cognee ↗ | 32,405 | Apache License 2.0 | 2026-10-16 |
| Graphiti ↗ | 31,819 | Apache License 2.0 | 2026-10-17 |
| Supermemory ↗ | 31,281 | MIT | — |
| AgentMemory ↗ | 29,593 | Apache License 2.0 | 2026-10-18 |
| Chroma ↗ | 29,512 | Apache License 2.0 | 2026-10-17 |
| TencentDB-Agent-Memory ↗ | 29,346 | MIT | 2026-10-15 |
Top 15 of 35 by stars. Stars and licence come from each repo, checked when the listing was last verified.
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Facts come from our directory listings; pricing is as each maker states it. Check official sites before you choose.