Show HN: goto-assistant – Self-hosted AI assistant, one npx command, no Docker

[jolks]

npx goto-assistant - that's it. Browser opens, an AI chat assistant walks you through setup (pick provider, paste API key, configure MCP servers), and you're done.

I looked at OpenClaw's repo and was overwhelmed by the complexity. I just wanted a simple AI assistant I could understand end-to-end and run with one command. No framework, no build step for the frontend, no Docker, no always-on gateway.

What it does:

- Chat with Claude or OpenAI through a web UI

- Task automation - create, schedule, and run tasks through chat using natural language. AI tasks get full MCP access

- Extend with any MCP server - no marketplace, no registry. Just explicit config entries in a JSON file, so you know exactly what's running

- Memory across conversations (persistent knowledge graph via MCP)

- File system access (read/write local files via MCP)

Your data connects directly to the provider API using your own keys - both Anthropic and OpenAI confirm API data is not used for training by default. All local data (conversations, config, tasks, uploads) stays on your machine.

Demo videos in the README.

[gkorland]

Where do you store the Knowledge Graph? Are you supporting any Graph Database like FalkorDB?

[jolks]

I pre-configured it to use https://github.com/modelcontextprotocol/servers/tree/main/sr... which stores it in a JSON file, memory.json. However, user can freely configure it to use FalkorDB using https://github.com/FalkorDB/FalkorDB-MCPServer. Feel free to submit issue on github so I can support you better https://github.com/jolks/goto-assistant/issues/new