Local AI workspace docs.
Docs for local AI workflow automation, self-hosted AI assistants, Ollama setup, document Q&A, security approvals, agents, and troubleshooting.
Quickstart
Install Disp8ch, open onboarding, add a hosted or local model, and run the first useful prompts.
Install Requirements
Requirements, install commands, and source checkout setup for Disp8ch on Windows, Linux, macOS, and WSL.
Local Model Setup
Run Disp8ch with Ollama, LM Studio, llama.cpp, vLLM, SGLang, or another OpenAI-compatible local endpoint.
Ollama AI Agent Workspace
Use Ollama with a local AI agent workspace for chat, workflows, document Q&A, memory, and task automation.
Workflow Building
Build visual workflows from templates, manual nodes, imports, or plain-English WebChat requests.
Local AI Workflow Automation
Build local AI workflow automation with schedules, webhooks, agents, approvals, boards, and local model support.
Data Sources And Notebooks
Upload files, crawl docs, ask cited questions, and turn source findings into work.
AI Document Q&A Knowledge Base
Create a local AI knowledge base for document Q&A, cited answers, notebooks, source packs, and follow-up tasks.
Security And Approvals
Understand confirmation gates, workflow effect policies, channel safety, credentials, and audit trails.
Self-Hosted AI Security Checklist
A practical checklist for self-hosted AI assistants, local AI automation, workflow approvals, credentials, and exposed ports.
Agent Operations
Use agents, hierarchy, boards, work monitor, and activity surfaces to keep delegated work observable.
Self-Hosted AI Assistant
Run a self-hosted AI assistant that can use local models, workflows, channels, memory, documents, and approval-gated actions.
Troubleshooting
Common checks for install, local models, workflows, channels, memory, and workspace health.