receptron

    receptron/mulmoclaude

    Nurture your own AI assistant on your own computer. Local-first and MIT: memories, data and apps stay as plain files in your workspace. Chat summons the right GUI — wiki, spreadsheet, chart, form, 3D. Build small apps for an audience of one, no programming required.

    web
    ai-agents
    ai-assistant
    ai-native
    chat-ui
    claude
    TypeScript
    MIT
    386 stars
    65 forks
    386 GitHub watchers
    Updated Oct 26, 2026
    View on GitHub

    Build with Backblaze B2

    SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.

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    Where it stands

    Rank, growth pace and release cadence relative to everything GStars tracks.

    5 releases in the last 90 days, the latest today, with 8 contributors on GitHub.

    Use Cases & Benefits

    • Nurtures a local AI assistant that manages memories, data, and apps as plain files with natural language interaction and dynamic GUI components.
    • Enables privacy-focused, local-first AI assistant workflows with extensible plugins and no programming required, supporting rich multimodal outputs.
    • Use for building a personal knowledge base and wiki that grows with AI-assisted ingestion and long-term memory stored as markdown files.
    • Use for creating and managing schema-driven data apps like todo lists, spreadsheets, and recurring tasks with natural language commands.
    • Use for integrating AI-powered chat with multiple messaging platforms via real-time bridge processes supporting file attachments and streaming.

    Should you depend on it?

    License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.

    License

    MIT

    Permissive: commercial use, modification and redistribution are allowed with attribution.

    Community files

    • README: present

    Watch-outs

    No watch-outs from GStars' checks.

    General guidance from repository metadata, not legal advice. How we score

    From the README

    How AI-Native Applications Should Be Built — the architecture, UX, and protocol thesis behind MulmoClaude.

    MulmoClaude is an open-source, AI-native application platform that runs locally on your machine. Instead of siloed apps, capabilities are built as plugins within a single registry. Applications running on it today include a full accounting system (real server-side bookkeeping logic), a personal wiki, and an SEC-filings reader (Edgar). Claude acts as a universal controller that composes across these plugins.

    You interact in natural language, and Claude summons the right GUI for the task — replying in markdown, charts, forms, wikis, spreadsheets, or 3D scenes. All data lives as plain files in your workspace.

    Open http://localhost:5173. That's it — start chatting.

    UI language: 8 locales are supported (English, Japanese, Simplified Chinese, Korean, Spanish, Brazilian Portuguese, French, German). The default is auto-detected from the browser / OS language. To set it explicitly, put VITE_LOCALE=ja (or zh / ko / es / pt-BR / fr / de) in .env. Locale is picked at build/dev time; restart yarn dev after changing it. See docs/developer.md for how to add strings.

    Excerpt from the receptron/mulmoclaude README on GitHub (MIT license). © its authors.Read the full README on GitHub

    Daily snapshots

    Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots

    Forks

    65+15

    Open issues

    40-2

    Compared with peers in Web

    Fastest-growing repositories GStars tracks in this cohort for the week of Nov 1, by 7-day star growth

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    Category median48.4K+6.2K44—

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