basicmachines-co/basic-memory
by Various
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MCP
basicmachines-co/basic-memory
Added 11 June 2026
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
How to use
Install
npx skills add basicmachines-co/basic-memory/skills Tools exposed
BASIC_MEMORY_LOG_LEVELBASIC_MEMORY_CLOUD_MODEBASIC_MEMORY_FORCE_LOCALBASIC_MEMORY_FORCE_CLOUDBASIC_MEMORY_EXPLICIT_ROUTINGBASIC_MEMORY_ENVBASIC_MEMORY_NO_PROMOSBASIC_MEMORY_IMPORT_UPLOAD_MAX_BYTES
Tested with
Claude Desktop, Claude Code, Cursor, VS Code, ChatGPT
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
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
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