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Moltis

Self-hosted AI assistant with memory, tools, and extensible skills

AI product SaaS & software Show HN · launch post · ▲ 131

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moltis.org

What it does

Moltis is a self-hosted AI assistant server written in Rust that runs as a single binary on personal hardware. It maintains memory across sessions, routes requests to multiple LLM providers (OpenAI, Anthropic, Mistral, local GGUF models, and others), and connects to messaging platforms including Telegram, WhatsApp, Discord, Slack, and Teams. The agent can create its own skills and tools at runtime. Core capabilities include web browsing, calendar integration via CalDAV, voice input and output, cron job scheduling in natural language, and sandboxed code execution.

Who it is for

The product targets users who want to run an AI assistant entirely on their own hardware rather than rely on cloud services. It appeals to developers and technical users seeking end-to-end control, data privacy, and the ability to self-host infrastructure. The installation process and multi-provider support suggest it is designed for users comfortable with command-line setup and configuration.

Pricing

The site does not show prices. The software itself appears to be open source with a one-command installation via curl or package managers.

How it stands out

Moltis is built as a single, dependency-free Rust binary (approximately 60MB) that includes a web UI without requiring Node, Python, or other runtimes. It supports sandboxed execution by default, preventing the agent from accessing the filesystem unless explicitly permitted. The product works with 20+ LLM providers and includes built-in integrations for major messaging channels rather than relying on plugin marketplaces. Runtime skill generation allows the agent to create its own tools dynamically.

What a founder should check

A competitor should verify the actual switching costs for users already invested in existing AI assistant platforms or cloud-based agent services. The security and sandboxing claims require third-party validation to assess whether they represent a genuine moat or standard practice. Finally, examine pricing pressure: since the core product appears to be distributed free and open source, confirm whether Moltis sustains through premium hosted versions, commercial support, or enterprise features, or whether it operates purely on community contribution.

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