basicmachines-co/basic-memory
🔧 Toolbasicmachines-co
A local-first memory layer for AI agents that persists context across conversations using knowledge graphs.
Basic Memory solves the 'amnesia' problem inherent in stateless LLM interactions. By acting as a persistent memory layer, it captures key information from AI conversations and structures it into a searchable knowledge graph. Technically, the framework utilizes local-first principles, ensuring that sensitive data is stored locally rather than relying solely on cloud-based context windows. It supports integration via the Model Context Protocol (MCP), making it highly compatible with modern AI development workflows and tools like Obsidian. The system excels at extracting entities and relationships from unstructured chat logs, allowing the AI to build a nuanced understanding of a user's projects over time. Key features include automated knowledge extraction, privacy-focused local data management, and seamless interoperability with existing LLM interfaces, significantly reducing the overhead of context management in long-running AI-assisted tasks.
💡Highlights
- ├─Local-first knowledge graph storage
- ├─MCP-compliant for broad integration
- └─Persistent context for LLM agents
🎯For
- ├─AI Developers
- ├─Knowledge Managers
- └─Productivity Enthusiasts