Apis AI – Wiki
Welcome to the documentation for Apis AI, the native desktop client for local and cloud LLMs. Here you'll find step-by-step guides for installation, providers, MCP servers, local tools, scripts and automated workflows.
Topics at a Glance
Installation
APT repository, .deb, tarball, Windows bundle and JAR – including prerequisites.
Getting Started
Understand the interface, start your first chat and get to know the most important controls.
Providers & Models
Ollama, Claude, Gemini, OpenRouter, DeepSeek, Puter and your own OpenAI-compatible endpoints.
Chat Features
Artifacts, Markdown, charts, file references, tool calls, Git-style file diffs, questions from the AI, compression and rewind.
Speech Input
Dictation and hands-free voice chat with local whisper.cpp or an OpenAI-compatible service.
Understanding & Using MCPs
No technical knowledge required: what MCPs are, what they do for you and how to use them in chat.
Setting Up MCP Servers
Reference: local stdio and remote servers, library, OAuth and troubleshooting.
Tools & Security
Shared folders, terminal sandbox with whitelist/blacklist and delete confirmation.
Scripts
Share your own local scripts, run them with arguments and make them available to the AI as a tool.
Rules & Skills
Persistent instructions for all chats, project rules from the AGENTS.md file and reusable capabilities for when you need them.
Workflows
Visual AI flows made of agent, script, sub-workflow and metadata nodes.
Background & Schedules
System tray, autostart and cron-based workflow schedules.
Settings
All tabs: providers, system & prompts, extensions, parameters and appearance.
FAQ & Troubleshooting
Common questions about models, context window, sandbox and storage locations.
Quick Start
- Install – set up the package or repository (see Installation).
- Create a provider – add an endpoint and API key under Settings, then Providers & Models (see Providers & Models).
- Chat – pick a model in the chat tab and get started (see Getting Started).
- Extend – add MCPs and use them in chat (see Understanding & Using MCPs).
- Automate – build workflows and run them on a schedule (see Workflows).
About This Wiki
This documentation describes Apis AI from version 0.1.x and is maintained alongside the app.
Questions or feedback? Write to us at
support@apisclient.com.