Docker AI desktop client for containerized models. Chat interface with RAG support, conversation history, multi-provider switching & hub.docker.com/u/ai integration.
Askimo transforms Docker AI from a simple chat interface into a full AI studio — with RAG, code block execution, MCP tool integrations, and multi-provider switching.
Chat with AI models running in Docker containers through a clean, organized desktop interface designed for productivity.
Connect your documents and knowledge base to Docker AI conversations with built-in Retrieval-Augmented Generation powered by Apache Lucene.
Edit chat messages, export chat sessions, include attachments in conversations, and customize your workflow with features not available in standard Docker AI access.
Connect to AI models from Docker Hub's official AI repository at hub.docker.com/u/ai that you've deployed via Docker.
Work with AI models in your existing Docker infrastructure while managing conversations in a dedicated desktop app.
Use Docker AI containers alongside OpenAI, Claude, Gemini, or Ollama in one unified interface.
Connect once. Every conversation is stored locally on your machine, searchable, exportable, and available offline. You own your history.
Add your Docker AI credentials in Settings. Askimo connects through the official API. No middleman, no data stored on Askimo servers.
Chat is just the start. Index your docs with RAG, connect tools via MCP, run local agents with Skills, and automate workflows with AI Plans. (RAG, MCP, Skills, AI Plans)
Docker AI is one of many. Switch to Ollama for private tasks, Claude for long documents, or Gemini for speed. All in the same interface, no extra setup.
Index your docs, code, and notes. AI answers grounded in your own knowledge base, not the open internet.
AI agents that read files, run commands, call APIs, and execute git operations. Not just chat.
Run AI agents directly on your local files and project directories via Gemini CLI, Claude Code or Codex CLI.
Chain multiple AI prompts into automated workflows. Each step builds on the last: research, analyse, write, all in one run.
A fair, side-by-side look at what Askimo AI Studio adds on top of the standard Docker AI access — acknowledging what each does well.
| Feature | Askimo App AI Studio | Docker AI Standard Access |
|---|---|---|
| Visual chat interface | Command line only | |
| RAG — index & search your documents | ||
| Code block execution (Python, Bash, Node) | ||
| MCP tools (file, git, web, APIs) | ||
| AI Plans — multi-step AI workflows | ||
| Persistent conversation history & search | ||
| Multi-provider switching (cloud + local) | ||
| Model parameter controls (temp, context…) | ||
| Run models locally (100% private) | ||
| No API costs | ||
| CLI interface |
✓ = included · ✗ = not available · text = partial or different approach. Based on publicly documented features as of 2026.
See how different users benefit from using Askimo App with Docker AI.
Chat with AI models running in your Docker infrastructure through a dedicated desktop interface with conversation history.
Use AI models deployed via Docker containers with a clean chat interface for better collaboration and productivity.
Connect to AI models in your containerized environment while managing all AI conversations in one place.
"Clean interface for chatting with Docker AI containers. Much better than command line."
— Askimo App User
Common questions about using Docker AI with Askimo App.
Yes. Askimo is a chat interface for AI models running in Docker containers. You need Docker installed and AI containers already running on your system. Askimo connects to those running containers via their exposed API endpoints.
No. Askimo is a chat interface only. You pull and run AI models from hub.docker.com/u/ai yourself using standard Docker commands. Once the container is running and its port is exposed, Askimo connects to it like any local API server.
Yes. Askimo lets you use Docker AI containers alongside cloud providers like OpenAI, Claude, Gemini, or local solutions like Ollama in one unified interface. For DevOps teams, this means you can use containerized models for CI-adjacent workflows and cloud models for general development — all from the same app.
The terminal gives you raw API access but no history, no search, no document context, and no workflow automation. Askimo adds persistent searchable conversation history, RAG over your project documentation, MCP tools for file and git operations, AI Plans for chaining prompts, and a visual interface — all on top of your existing Docker AI infrastructure.
Askimo App isn't limited to Docker AI. Connect multiple providers and switch based on your needs.
Download Askimo App and connect to Docker AI Models in minutes.
Free & open source · No account required · Works offline with local models
