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moltis-org / Subagents

moltis

A secure persistent personal agent server in Rust. One binary, sandboxed execution, multi-provider LLMs, voice, memory, Telegram, WhatsApp, Discord, Teams, and MCP tools. Secure by design, runs on your hardware.

  • 2.9k estrellas
  • 359 forks
  • 121 issues abiertos
  • Lenguaje: Rust
  • Licencia: MIT
  • actualizado

Instalación

Terminal
git clone https://github.com/moltis-org/moltis && cp moltis/*.md ~/.claude/agents/
  1. Clone the repository and copy the agent .md definitions into ~/.claude/agents (or .claude/agents inside a project).
  2. Start a new Claude Code session to load the agents.
  3. Delegate work to them with the Task/Agent tool or by name.

Nota editorial

Moltis is a self-hosted personal agent server written in Rust and distributed as a single binary, designed to run on hardware the user controls, from a Mac Mini to a Raspberry Pi. It connects to Claude and other LLMs through the `moltis-providers` crate, which implements multi-provider model access, and exposes MCP support via both stdio and HTTP/SSE transports through dedicated `moltis-mcp` and `moltis-mcp-agent-bridge` crates. The server includes built-in messaging channel integrations for Telegram, WhatsApp, Discord, Microsoft Teams, Signal, Slack, and Matrix, alongside voice input and output using bundled STT and TTS providers. Memory is handled through SQLite with full-text search and vector recall. Tool execution runs inside Docker, Podman, Apple Container, or WASM sandboxes, never on the host directly. A standout architectural detail is that the entire agent runner and model interface spans roughly 7,500 lines of auditable Rust, with unsafe code restricted to FFI boundaries. Privacy-focused developers and self-hosters who want a multi-channel AI agent without cloud dependencies or a runtime like Node.js will find the most utility here.

Items instalables

24 items en este repositorio

Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.

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Manage Apple Notes via the memo CLI on macOS (create, view, search, edit).

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Manage Apple Reminders via remindctl CLI (list, add, complete, delete).

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Generate dark-themed SVG diagrams of software systems and cloud infrastructure as standalone HTML files with inline SVG graphics. Semantic component colors (cyan=frontend, emerald=backend, violet=database, amber=cloud/AWS, rose=security, orange=message bus), JetBrains Mono font, grid background. Best suited for software architecture, cloud/VPC topology, microservice maps, service-mesh diagrams, database + API layer diagrams, security groups, message buses — anything that fits a tech-infra deck with a dark aesthetic. If a more specialized diagramming skill exists for the subject (scientific, educational, hand-drawn, animated, etc.), prefer that — otherwise this skill can also serve as a general-purpose SVG diagram fallback. Based on Cocoon AI's architecture-diagram-generator (MIT).

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arxivSkill

Search and retrieve academic papers from arXiv using their free REST API. No API key needed. Search by keyword, author, category, or ID. Combine with web_extract or the ocr-and-documents skill to read full paper content.

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Generate ASCII art using pyfiglet (571 fonts), cowsay, boxes, toilet, image-to-ascii, remote APIs (asciified, ascii.co.uk), and LLM fallback. No API keys required.

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Production pipeline for ASCII art video — any format. Converts video/audio/images/generative input into colored ASCII character video output (MP4, GIF, image sequence). Covers: video-to-ASCII conversion, audio-reactive music visualizers, generative ASCII art animations, hybrid video+audio reactive, text/lyrics overlays, real-time terminal rendering. Use when users request: ASCII video, text art video, terminal-style video, character art animation, retro text visualization, audio visualizer in ASCII, converting video to ASCII art, matrix-style effects, or any animated ASCII output.

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PyTorch library for audio generation including text-to-music (MusicGen) and text-to-sound (AudioGen). Use when you need to generate music from text descriptions, create sound effects, or perform melody-conditioned music generation.

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axolotlSkill

Expert guidance for fine-tuning LLMs with Axolotl - YAML configs, 100+ models, LoRA/QLoRA, DPO/KTO/ORPO/GRPO, multimodal support

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Generate professional infographics with 21 layout types and 21 visual styles. Analyzes content, recommends layout×style combinations, and generates publication-ready infographics. Use when user asks to create "infographic", "visual summary", "信息图", "可视化", or "高密度信息大图".

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Create, search, and manage Bear notes via grizzly CLI.

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Use when you need to send or manage iMessages via BlueBubbles (recommended iMessage integration). Calls go through the generic message tool with channel="bluebubbles".

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Delegate coding tasks to Claude Code (Anthropic's CLI agent). Use for building features, refactoring, PR reviews, and iterative coding. Requires the claude CLI installed.

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Inspect and analyze codebases using pygount for LOC counting, language breakdown, and code-vs-comment ratios. Use when asked to check lines of code, repo size, language composition, or codebase stats.

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codexSkill

Delegate coding tasks to OpenAI Codex CLI agent. Use for building features, refactoring, PR reviews, and batch issue fixing. Requires the codex CLI and a git repository.

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discordSkill

Discord ops via the message tool (channel=discord).

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Archive and search Discord guild messages, threads, and members via the discrawl CLI. Supports bot API sync, local cache import, full-text and semantic search, and Git-backed NDJSON snapshots.

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dogfoodSkill

Systematic exploratory QA testing of web applications — find bugs, capture evidence, and generate structured reports

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dspySkill

Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming

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Evaluates LLMs across 60+ academic benchmarks (MMLU, HumanEval, GSM8K, TruthfulQA, HellaSwag). Use when benchmarking model quality, comparing models, reporting academic results, or tracking training progress. Industry standard used by EleutherAI, HuggingFace, and major labs. Supports HuggingFace, vLLM, APIs.

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Create hand-drawn style diagrams using Excalidraw JSON format. Generate .excalidraw files for architecture diagrams, flowcharts, sequence diagrams, concept maps, and more. Files can be opened at excalidraw.com or uploaded for shareable links.

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findmySkill

Track Apple devices and AirTags via FindMy.app on macOS using AppleScript and screen capture.

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Fine-tune LLMs using reinforcement learning with TRL - SFT for instruction tuning, DPO for preference alignment, PPO/GRPO for reward optimization, and reward model training. Use when need RLHF, align model with preferences, or train from human feedback. Works with HuggingFace Transformers.

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Search and download GIFs from Tenor using curl. No dependencies beyond curl and jq. Useful for finding reaction GIFs, creating visual content, and sending GIFs in chat.

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README

Resumen de Subagents

README no disponible. Visita el repo en GitHub para la documentación completa.
Topics
ai-agentai-assistantclawdbotllmmcpopenclawrustsandboxself-hostedsingle-binarytelegram-botvoice-assistant
Preguntas frecuentes

Lo que la gente pregunta sobre moltis

¿Qué es moltis-org/moltis?

moltis-org/moltis es subagents para el ecosistema de Claude AI. A secure persistent personal agent server in Rust. One binary, sandboxed execution, multi-provider LLMs, voice, memory, Telegram, WhatsApp, Discord, Teams, and MCP tools. Secure by design, runs on your hardware. Tiene 2.9k estrellas en GitHub y su última actualización registrada es del 2026-10-23.

¿Cómo se instala moltis?

Puedes instalar moltis clonando el repositorio (https://github.com/moltis-org/moltis) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.

¿Es seguro usar moltis-org/moltis?

Nuestro agente de seguridad ha analizado moltis-org/moltis y le ha asignado un Trust Score de 97/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.

¿Quién mantiene moltis-org/moltis?

moltis-org/moltis es mantenido por moltis-org. La última actividad registrada en GitHub es del 2026-10-23, con 121 issues abiertos.

¿Hay alternativas a moltis?

Sí. En ClaudeWave puedes explorar subagents similares en /categories/agents, ordenados por popularidad o actividad reciente.

Web del proyecto
https://moltis.org