Parallel branches without losing context
Fork from any message to compare models, prompts, or reasoning paths.
Move AI beyond chat windows into a long-running workspace. Mirdel unifies conversations, knowledge bases, notes, translation, image and video work, local models, and extensible workflows so repeated processes become reusable capabilities.
Mirdel breaks daily AI work into clear workbench modules while preserving shared context, search, model configuration, and a local data layer.
Branch conversations, temporary sessions, quick messages, session notes, and visual relationship maps keep long-running exploration organized.
Import files, folders, and webpages, build local indexes with SQLite and sqlite-vec, and test retrieval quality. Edit in Tiptap or Markdown, review AI edits as diff proposals, and commit changes only after confirmation.
Handle text, full documents, and dictionary-style parsing with independently configurable translation models.
Unify text-to-image, image-to-image, editing, outpainting, super-resolution, colorization, and style transfer tasks.
Configure provider-specific resolution, duration, frame rate, reference images, and model capabilities for video workflows.
From branched sessions to local RAG, from model capability configuration to tool-call approval, Mirdel focuses on order and control after an AI workspace starts running for real. Fork from any message to compare models, prompts, or reasoning paths.
Package models, parameters, system prompts, knowledge bases, Skills, and MCP policies into reusable presets. Mirdel includes SearXNG for aggregated search and supports custom search services.
Current context, session state, cross-session memory, and long-term user preferences work together for sustained work.
An embedded llama-server can download, load, and unload local models while exposing a local compatible endpoint.
Sensitive Shell and MCP calls require confirmation, while API keys and other sensitive fields are stored encrypted.
Mirdel's extension system is not just a plugin list. It organizes procedural knowledge, external tools, and productized workflows into clear layers.
Applets have their own forms, parameters, interaction state, result views, and separate windows, turning frequent tasks from repeated prompting into launch-and-use workflows.
Compatible with SKILL.md organization, with built-in system skills for docx, pdf, pptx, xlsx, skill creation, and more.
Supports stdio, Streamable HTTP, and SSE, with service lifecycle controls, capability inspection, logs, and per-message policy control.
Sessions, notes, knowledge bases, configuration, and indexes are stored in a local SQLite database. API keys and sensitive fields are encrypted. You can connect mainstream cloud models, compatible endpoints, or local models.
Mirdel supports macOS and Windows. After down, configure a cloud model or use the local model runtime to start organizing long-term AI workflows.