Capabilities

Features

Everything included in a single self-hosted workspace. No external services required for any of the core features.

Brain

Persistent Brain is stored as human-readable Markdown in workspace/BRAIN.md. A background consolidation process runs every 5 conversation messages, merging new facts with existing memory using the local LLM. The consolidated summary is injected into every chat session automatically.

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On-Demand Storage

Interactive Notes

Notes provides a dedicated working notebook stored in workspace/NOTES.md. Unlike Brain, Notes are kept separate to conserve the model's context window and fetched only on demand via fetch_notes. An interactive modal in the sidebar lets you view and edit notes with markdown formatting.

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Local RAG

Expanded Capacity

Expanded Capacity is a Gemini NotebookLM-style local Retrieval-Augmented Generation system backed by a dedicated SQLite database with FTS5 full-text search. Drag and drop Markdown (.md) and text (.txt) files into notebook cards for previewing, referencing, and on-demand retrieval by the AI agent.

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Automation

Task Scheduling

Marnie's built-in scheduler runs recurring cron jobs and one-off countdown timers, all persisted in SQLite and surviving application restarts. Jobs can execute shell commands, send Discord notifications, or trigger HTTP webhooks - no external task queue required.

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Research Engine

Multi-Step Deep Research

Marnie's deep research engine conducts multi-turn autonomous investigations into complex questions without external SaaS dependencies. It decomposes the topic into 3–6 investigative angles, gathers sources via DuckDuckGo or SearXNG, synthesizes a draft, runs configurable revision rounds, and saves a shareable Markdown report with citations to SQLite.

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In-App Preview

Artifact Panel

Marnie includes a Claude-like side-by-side Artifact Panel for creating, viewing, editing, and previewing files in the browser while maintaining active conversations. HTML runs in a sandboxed iframe, Markdown renders GitHub-flavored, math equations render via KaTeX, and diagrams render via Mermaid.js.

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