Local AGI Learn
Understand local AI agents before you trust them with real work.
Plain-language guides to what runs locally, what still uses a network, how agents differ from models, and how to choose the right privacy level for each task.
Start here
Build a clear mental model
Begin with the fundamentals, then move into setup, architecture, privacy, and practical workflows.
What is a local AI agent?
Understand the agent loop, tools, models, permissions, artifacts, and what “local” actually means.
Read the guide → PrivacyLocal vs cloud AI agents
Compare control, privacy, hardware, availability, collaboration, and operational tradeoffs.
Compare approaches → Getting startedRun AI agents locally
A practical workflow for macOS and Windows, from installation to reviewing the first result.
Follow the workflow → ArchitectureHow a private AI network works
Learn how trusted devices share compute, how encrypted relay traffic works, and where models execute.
Explore the network → ConceptsLocal model vs local agent
A model generates; an agent plans, uses tools, checks progress, and produces reusable artifacts.
See the difference → Distributed AIWhat is an AI Hive Mind?
See how several trusted computers can each run part of one model and appear as a single Neuron.
Understand Hive Mind → Product featureLocal AGI Private Network
See how approved devices can contribute intelligence to an end-to-end encrypted private mesh.
View the feature →Applied workflow
See an agent at work
Learn how to structure a data-analysis task, constrain the agent, and review the result before acting.