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Run a full local AI stack with APIs, memory, and private RAG.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "localmind" yet — see the docs or source repo.
Explain how to use localmind to start OpenAI/Anthropic-compatible LLM APIs locally, including basic installation steps, service startup, and how to verify the endpoints.
A local deployment and usage guide covering installation, startup, endpoint verification, and basic troubleshooting.
I want to use localmind to build a second-brain RAG for local documents. Provide a workflow for ingesting files, creating embeddings, setting up retrieval, and querying the knowledge base through MCP tools.
A private knowledge-base setup plan describing ingestion, embedding, retrieval, and query workflows.
Describe how to enable mem0 memory in localmind so an AI assistant can store and retrieve user preferences, task history, and context entirely on-device, and explain suitable use cases.
A guide to local memory features, including configuration ideas, read/write behavior, and common use cases.
Save and restore AI session context locally with JSON files.
Provide persistent local memory and semantic search for MCP AI clients.
Search code and technical docs privately with local-first RAG for developers.
Route LLM tasks locally first to keep sensitive data private and controlled.
Search local knowledge packs and retrieve chunks for stronger AI answers.
Give any local AI searchable long-term memory through a private diary.