Zenii FAQs

Question 1

What AI providers and features does Zenii support?

Accepted Answer

Zenii supports 6+ AI providers including OpenAI, Anthropic, Gemini, Ollama, OpenRouter, and custom OpenAI-compatible endpoints. Key features include an LLM wiki with binary document ingestion (PDF, DOCX, images), shared persistent memory, and a comprehensive tool registry.

Question 2

Is Zenii a cloud-based service, or is it self-hosted?

Accepted Answer

Zenii is specifically designed as a local-first, self-hosted solution. It emphasizes privacy and gives developers full control over their AI infrastructure, making it ideal for local automations and self-hosted workflows.

Question 3

What is Zenii and its main purpose?

Accepted Answer

Zenii is a unified local AI backend that provides shared memory, provider routing, and tool execution for developers. Its main purpose is to allow scripts, tools, and AI agents to access a consistent AI infrastructure from a single local service.

Question 4

How does Zenii provide shared AI memory and tool execution?

Accepted Answer

Zenii runs as a local daemon on your machine, exposing REST and WebSocket APIs. This allows all your applications – be it CLI tools, desktop apps, or custom scripts – to access the same persistent AI memory, route requests to various AI providers, and execute predefined tools.

Question 5

What interfaces are available for interacting with Zenii?

Accepted Answer

Zenii offers multiple interfaces: a local daemon (zenii-daemon) for API access, a CLI client (zenii), a TUI (zenii-tui), a native desktop application (zenii-desktop), and an MCP server for integration with external coding agents like Claude Code or Cursor.

Zenii

Zenii

Key Features

Use Cases

Key Features

Use Cases