AgentIndex icon
AgentIndex
m3-memory logo
m3-memory
★ 29
vs
deep-research logo
deep-research
★ 4.7k

m3-memory vs deep-research

m3-memory: M3 Memory provides persistent, local memory for MCP agents using SQLite, hybrid retrieval, and optional cross-device sync. It stores facts, decisions, and preferences across sessions, with contradiction handling and knowledge graph features. It works offline and integrates with Claude Code, Gemini CLI, and other MCP-compatible agents.; deep-research: Deep Research is an AI-powered tool designed to generate comprehensive research reports rapidly, leveraging advanced AI models and internet connectivity. It prioritizes user privacy by processing and storing all data locally.

01

TL;DR

m3-memory logo
m3-memoryRAG / Knowledge Base · ★ 29

Coding agents like Claude Code or Gemini CLI need persistent memory across sessions

Read m3-memory full review →
deep-research logo
deep-researchRAG / Knowledge Base · ★ 4.7k

Rapidly generate in-depth research reports for personal and professional use.

Read deep-research full review →
02

Side-by-Side Comparison

Field
m3-memory logom3-memory
deep-research logodeep-research
Category
RAG / Knowledge Base
RAG / Knowledge Base
Stars
★ 29
★ 4.7k
License
Apache-2.0
MIT
Install Command
curl -fsSL https://raw.githubusercontent.com/skynetcmd/m3-memory/main/install.sh | bash
docker run -d --name deep-research -p 3333:3000 xiangfa/deep-research
Updated
4d ago
4mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
agentic-memory, ai-agents, ai-memory
AI Research, LLM, Privacy-focused
03

Features

m3-memory logom3-memory
01Persistent memory across sessions
02Hybrid retrieval (FTS5 + vector + MMR)
03Contradiction detection and automatic supersession
04Knowledge graph with entity extraction
05Optional cross-device bi-directional sync
deep-research logodeep-research
01Rapidly generates comprehensive research reports in minutes.
02Ensures privacy by processing and storing all data locally in the browser.
03Supports a wide range of mainstream large language models (LLMs).
04Integrates with various web search engines for enhanced information gathering.
05Allows uploading and processing local files to build a knowledge base.
04

Use Cases

m3-memory logom3-memory
↳Coding agents like Claude Code or Gemini CLI need persistent memory across sessions
↳Multi-agent teams sharing a local memory store with handoffs and scoping
↳Developers requiring local-first memory with optional sync across devices
deep-research logodeep-research
↳Rapidly generate in-depth research reports for personal and professional use.
↳Serve as a deep research as a service (SaaS) platform via SSE API.
↳Integrate deep research functionality into other AI applications using MCP.
FAQ

FAQ

What is the difference between m3-memory and deep-research?
Both m3-memory and deep-research are in the RAG / Knowledge Base category. m3-memory has 29 stars, while deep-research has 4.7k stars.
Which is better, m3-memory or deep-research?
The best choice depends on your use case. Choose m3-memory if Coding agents like Claude Code or Gemini CLI need persistent memory across sessions, and deep-research if Rapidly generate in-depth research reports for personal and professional use..
Is m3-memory free or open source?
Yes, m3-memory is open source on GitHub (Apache-2.0).
Is deep-research free or open source?
Yes, deep-research is open source on GitHub (MIT).
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Alternatives to m3-memory →Alternatives to deep-research →m3-memory details →deep-research details →