Enterprise DNA
M MCP Servers Developer low

basicmachines-co/basic-memory

by Various

AI conversations that actually remember. Never re-explain your project to your AI again. Join our Discord: https://discord.gg/tyvKNccgqN

B

MCP

basicmachines-co/basic-memory

Added 11 June 2026

#ai #claude #knowledge-management #knowlege-graph #llm #local-first #markdown #mcp

Overview

Basic Memory is an open-source Python tool that gives AI assistants persistent memory across conversations. It stores structured knowledge about your projects and preferences so you don't have to re-explain context each time.

Best for

Best for
Developers who frequently use AI assistants and want to avoid repeating project context

Use cases

  • Maintaining consistent project context across multiple AI chat sessions
  • Building a personal knowledge base that your AI assistant can reference
  • Avoiding repetitive explanations of codebases, workflows, or preferences

Notes

Basic Memory is an open-source Python tool that gives AI assistants persistent memory across conversations. It stores structured knowledge about your projects and preferences so you don’t have to re-explain context each time.

3,192 stars on GitHub. Last updated 2026-06-11. Licensed AGPL-3.0.

Use cases

  • Maintaining consistent project context across multiple AI chat sessions
  • Building a personal knowledge base that your AI assistant can reference
  • Avoiding repetitive explanations of codebases, workflows, or preferences

Pros

  • Eliminates the need to re-state project details in every conversation
  • Open-source with a growing community (over 3,000 GitHub stars)
  • Simple Python-based setup for developers

Cons

  • Requires manual setup and integration with your AI workflow
  • Memory persistence depends on how well you structure the stored knowledge
  • Limited to Python environments and may not work with all AI tools out of the box

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Eliminates the need to re-state project details in every conversation
  • Open-source with a growing community (over 3,000 GitHub stars)
  • Simple Python-based setup for developers

Cons

  • Requires manual setup and integration with your AI workflow
  • Memory persistence depends on how well you structure the stored knowledge
  • Limited to Python environments and may not work with all AI tools out of the box