# LearningOS > LearningOS (Drona) — an AI Learning Operating System for GitHub Copilot: 129 specialist agents, 510 reusable skills, 122 role configs, and a VS Code extension that teaches instead of just answering. - **Type:** MCP server - **Install:** `agentstack add mcp-arasanirohithreddy-learningos` - **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior - **Seller:** [ArasaniRohithReddy](https://agentstack.voostack.com/s/arasanirohithreddy) - **Installs:** 0 - **Category:** [Developer Tools](https://agentstack.voostack.com/c/developer-tools) - **Latest version:** 0.1.0 - **License:** MIT - **Upstream author:** [ArasaniRohithReddy](https://github.com/ArasaniRohithReddy) - **Source:** https://github.com/ArasaniRohithReddy/LearningOS - **Website:** https://arasanirohithreddy.github.io/LearningOS/ ## Install ```sh agentstack add mcp-arasanirohithreddy-learningos ``` Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent. ## About # LearningOS — powered by **Drona** [](https://github.com/ArasaniRohithReddy/LearningOS/releases/latest) [](LICENSE) [](https://arasanirohithreddy.github.io/LearningOS/) [](https://github.com/ArasaniRohithReddy/LearningOS/actions/workflows/validate.yml) [](https://github.com/ArasaniRohithReddy/LearningOS)  ·  **129 agents · 779 skills · 122 roles** > A modular, config-driven **GitHub Copilot Agent framework for learning, teaching, research, and > technical career growth.** One master orchestrator (**Drona**, the guru), a set of specialist > sub-agents, and reusable skills — all in the official GitHub Copilot format so they work in > **VS Code**, **VS Code Insiders**, and the **GitHub Copilot CLI**. **🌐 Live site:**  ·  **⬇ Download:** [latest release](https://github.com/ArasaniRohithReddy/LearningOS/releases/latest)  ·  **🤝 Contribute:** [open an issue](https://github.com/ArasaniRohithReddy/LearningOS/issues/new/choose) · [start a discussion](https://github.com/ArasaniRohithReddy/LearningOS/discussions) · [CONTRIBUTING.md](CONTRIBUTING.md) LearningOS is **not** a single chatbot prompt. It is a small platform: agents compose reusable skills, behavior is shared through a single constitution ([`AGENTS.md`](AGENTS.md)), and new role-agents are built from tiny YAML config files instead of hand-written prompts. ## Highlights - **Teaches, not just answers** — first-principles, trade-offs, pitfalls, and a signature *Learning Footer* on every substantive reply ([`AGENTS.md`](AGENTS.md)). - **129 agents · 779 skills · 122 role configs** — Drona routes to specialist mentors and reusable `/`-skills across every technical domain. - **Visual-first learning** — Mermaid, tables, KaTeX and step-traces by default, and Drona asks your preferred learning style up front ([`/visual-explainer`](.github/skills/visual-explainer/SKILL.md)). - **361 no-subscription labs** + run code in **90+ languages** with nothing installed; practice **AWS / Azure / GCP / Oracle** locally via [floci](docs/Floci.md). - **414 curated free resources** — incl. **275 YouTube channels** — plus dated **tech news** from 190+ RSS/Atom feeds and **130+ roadmap.sh** paths turned into personalized plans ([resources](data/learning-resources.json) · [news](docs/News.md)). - **Competitive programming & DSA** — LeetCode / Codeforces-style practice: `/competitive-programming-drill`, `/dsa-patterns-coach`, `/dynamic-programming-coach`, `/graph-algorithms-coach`. - **Own MCP server** ([`mcp/`](mcp/README.md)) — exposes the whole catalog (search skills & agents, resources, roadmaps, news, run code) to Claude Desktop, VS Code and Cursor. - **Config-driven & multi-host** — VS Code, Insiders, Copilot CLI, Claude, Cursor, Gemini; add a role in YAML with `/role-composer`. --- ## Why this exists Most "learning agents" are one giant prompt that is hard to extend and inconsistent across tools. LearningOS instead uses the same primitives GitHub Copilot itself uses: - **Agents** (`.github/agents/*.agent.md`) — personas with their own tools and responsibilities. - **Skills** (`.github/skills//SKILL.md`) — on-demand workflows, invocable with `/`. - **Constitution** (`AGENTS.md`) — shared teaching behavior, auto-loaded everywhere. - **Role configs** (`.github/roles/*.role.yml`) — compose new specialist agents from config. Everything optimizes for **teaching**, not just answering. See the teaching principles and the signature "Learning Footer" in [`AGENTS.md`](AGENTS.md). ## Architecture ```mermaid flowchart TD U([Learner]) --> D{{Drona · Master Orchestrator}} D -->|delegates| CM[Coding Mentor] D -->|delegates| RN[Research & News Analyst] D -->|delegates| IC[Interview Coach] D -->|delegates| EC[Exam & Certification Coach] D -->|delegates| CA[Career Mentor] D -->|delegates| MP[Meeting & Presentation Coach] D -->|delegates| RO["122 Role-AgentsSoftware · Languages · Web · Data · AI/ML · Cloud · DevOps · Security · Design · Product · Emerging · Enterprise"] subgraph Skills["779 Reusable Skills — invoke with /"] S1["Learn · Plan · Practiceconcept-explainer · socratic-tutor · worked-example · analogy-generatorlearning-roadmap · career-ladder · quiz-generator · mock-exam · exam-blueprint"] S2["Code & engineeringcode-review-coach · debugging-coach · refactoring-coach · test-writersql-coach · git-coach · dockerfile-coach · regex-explainer · code-optimizer"] S3["Architecture & AI/dataarchitecture-diagram · api-design-review · data-modeling-drill · threat-modelprompt-optimizer · rag-designer · eval-designer · dataset-explorer"] S4["Research · Writingresearch-brief · daily-digest · official-docs-finder · paper-summarizerreadme-generator · adr-writer · runbook-writer · changelog-writer"] S5["Career & communication · Buildresume-tailor · cover-letter · linkedin-optimizer · coding-interview-drillslide-outline · demo-script · role-composer"] end D -.invokes.-> Skills CM -.invokes.-> Skills RN -.invokes.-> Skills IC -.invokes.-> Skills EC -.invokes.-> Skills CA -.invokes.-> Skills MP -.invokes.-> Skills RO -.invokes.-> Skills Skills -.reads.-> AG[[AGENTS.md — shared constitution]] D -.reads.-> AG ``` ## Repository layout ``` Learning Agents/ ├── AGENTS.md # Shared teaching constitution (auto-loaded everywhere) ├── README.md # This file ├── LICENSE # MIT ├── CONTRIBUTING.md # How to add roles / skills / agents / docs ├── CODE_OF_CONDUCT.md ├── docs/ # The framework "brain" — how & why it works (20 guides) │ ├── Architecture.md Agents.md Skills.md Roles.md Standards.md │ ├── PluginSDK.md Marketplace.md Extension.md Install.md Customize.md │ ├── CodeExecution.md LocalPractice.md Floci.md MCP.md Memory.md │ ├── News.md Sources.md Security.md Testing.md Roadmap.md │ └── mcp.sample.json # Copy servers into .vscode/mcp.json to enable MCP ├── .github/ │ ├── agents/ # 129 custom agents (personas) │ │ ├── drona.agent.md # ⭐ Master orchestrator │ │ ├── coding-mentor · research-analyst · interview-coach │ │ ├── exam-coach · career-mentor · meeting-prep # 6 core mentors │ │ └── + 122 role-agents (python/rust/scala-developer, data-engineer, quantum-computing-engineer, …) │ ├── skills/ # 779 reusable workflows (slash commands), across 27 groups │ │ ├── Learn: concept-explainer socratic-tutor misconception-buster analogy-generator worked-example glossary-builder mind-map note-generator teach-back knowledge-graph cheat-sheet │ │ ├── Plan/Assess: learning-roadmap onboarding-plan career-ladder progress-tracker spaced-repetition-scheduler project-mentor practice-generator quiz-generator flashcards mock-exam skill-assessment gap-analysis rubric-grader exam-blueprint │ │ ├── Code: code-review-coach debugging-coach refactoring-coach test-writer pair-programmer regex-explainer sql-coach git-coach dockerfile-coach code-optimizer algorithm-visualizer complexity-analyzer code-walkthrough system-design-drill │ │ ├── Architecture/AI-data: architecture-diagram api-design-review data-modeling-drill threat-model tech-comparison estimation-coach prompt-optimizer rag-designer eval-designer dataset-explorer │ │ ├── Research/Writing: research-brief daily-digest feed-curator official-docs-finder engineering-blog-finder github-repo-finder paper-summarizer literature-review technical-writing-coach readme-generator adr-writer runbook-writer documentation-planner changelog-writer │ │ └── Career/Build: resume-tailor cover-letter linkedin-optimizer salary-negotiation star-story-builder portfolio-reviewer coding-interview-drill whiteboard-explainer slide-outline demo-script case-study role-composer │ └── roles/ # 122 config-driven role definitions — add your own! │ ├── _TEMPLATE.role.yml │ ├── Software · Languages (Py/Java/C#/Go/Rust/C++/TS/Kotlin/Scala/PHP/Swift/Elixir/R/Dart/Haskell/Clojure) · Web │ ├── AI/ML · MLOps · Deep Learning · LLMOps · CV · NLP │ ├── Data & BI · Streaming · Big Data · Snowflake · Tableau · Looker · Governance │ ├── Cloud (Azure/AWS/GCP) · Platform · Network · Terraform · Serverless │ ├── DevOps · SRE · Observability · FinOps · Linux/Windows admin · Chaos · Perf │ ├── Security (App/Cloud/SOC/DevSecOps/IAM/GRC/Privacy) · QA/SDET · Architecture │ ├── Emerging (AR/VR · Quantum · Edge · Graphics · Bioinformatics · Quant · GIS · HPC) │ └── Design · Docs · DevRel · Product · EM · TPM · BA · Scrum · Business/Support · Enterprise (SF/ServiceNow/SAP/D365) ├── data/ # Curated catalogs: 193 news feeds, 134 roadmaps, 414 free learning resources ├── mcp/ # LearningOS MCP server (learningos-mcp) — 9 tools · 2 resources · 3 prompts ├── extension/ # VS Code extension (@drona + dashboard + Tech News / Roadmaps views) ├── templates/ # Optional MCP config templates (e.g., floci.mcp.json) ├── marketplace/ # Generated pack index (registry.json + CATALOG.md) ├── scripts/build-registry.mjs # Scans agents/skills/roles → rebuilds the marketplace index ``` ## Documentation The [`docs/`](docs/) folder is the framework's brain — how and why it works: | Doc | Topic | |---|---| | [Architecture](docs/Architecture.md) | The five primitives, request flow, design principles | | [Agents](docs/Agents.md) | Persona roster + how the "100+ agents" vision is served | | [Skills](docs/Skills.md) | Skill catalog, authoring, and progressive loading | | [Roles](docs/Roles.md) | The config-driven role system + full 122-role catalog | | [PluginSDK](docs/PluginSDK.md) | Packaging & distribution model | | [Install](docs/Install.md) | Install across every host (Copilot CLI, VS Code/Insiders, Desktop, Claude, Cursor, Gemini) + one-command `install.ps1` | | [Platforms](docs/Platforms.md) | **Individual-level** cross-platform setup (Claude Code/Desktop, Cursor, Gemini, M365 Cowork) — zip import, per-host MCP wiring, **opt-in** Azure CLI auth | | [Extension](docs/Extension.md) | Drona as an installable **`.vsix`** (`@drona` chat participant) — no Marketplace account needed | | [CodeExecution](docs/CodeExecution.md) | Run code in 90+ languages with **no local install** (self-hosted Piston / onlinecompiler.io key) — setup + where to get a key | | [Customize](docs/Customize.md) | Add / edit / disable your own skills & agents; scaffolders + `validate.mjs` | | [Marketplace](docs/Marketplace.md) | Enterprise plugin marketplace: pack model + generated registry | | [LocalPractice](docs/LocalPractice.md) | Practice every domain locally & free (no subscriptions) — the tool catalog | | [Floci — local cloud](docs/Floci.md) | Practice **AWS, Azure, GCP & Oracle (OCI)** locally & free with floci emulators — install, per-cloud endpoints, and the honest "AI-ready"/MCP story | | [MCP](docs/MCP.md) | Live docs/data via MCP + **LearningOS's own MCP server** ([`mcp/`](mcp/README.md)) for any client (Claude/VS Code/Cursor) + [sample config](docs/mcp.sample.json) | | [Memory](docs/Memory.md) | Learner profile, spaced repetition, RAG | | [News](docs/News.md) | News / RSS / research framework | | [Standards](docs/Standards.md) | Coding & teaching standards | | [Security](docs/Security.md) | Security & Responsible AI guardrails | | [Testing](docs/Testing.md) | Structural + behavioral evaluation | | [Roadmap](docs/Roadmap.md) | Vision → status and what's next | ## Install & use LearningOS is discovered automatically when this folder is your workspace/repo root. Nothing to build. ### VS Code / VS Code Insiders (Agent Mode) 1. Open this folder in VS Code or VS Code Insiders (Copilot Chat + Agent Mode enabled). 2. In the Chat view, open the **agent picker** and choose **Drona** (or any specialist). 3. Ask naturally — e.g. *"Teach me how Kubernetes scheduling works and quiz me."* 4. Invoke a skill directly by typing `/` and picking one, e.g. `/learning-roadmap`, `/quiz-generator`. > Skill discovery locations are already enabled in `.vscode/settings.json` via > `chat.agentSkillsLocations` (`.github/skills` is included). Skills under `.github/skills/` and > agents under `.github/agents/` are picked up with no extra setup. ### GitHub Copilot CLI 1. Install the CLI and sign in (`copilot`), then `cd` into this folder. 2. `AGENTS.md` is loaded automatically as shared guidance. 3. Custom agents in `.github/agents/` and skills in `.github/skills/` are available in the session. 4. Ask Drona to teach, plan, quiz, or research — the same behavior as in VS Code. ### Use it in another project Copy `AGENTS.md` and the `.github/agents/`, `.github/skills/`, and `.github/roles/` folders (and optionally `docs/`) into any repository. That repo instantly gains the full LearningOS toolkit. ## Quick start prompts - `@Drona teach me the CAP theorem from first principles, then give me 5 quiz questions.` - `/learning-roadmap 90-day plan to become an Azure AI Engineer, ~1 hour/day` - `/research-brief latest changes in the Model Context Protocol (MCP) spec, official sources only` - `@Interview Coach run a 30-minute system design mock for a URL shortener and score me` - `/code-review-coach review this function and teach me what to improve` - `/flashcards 20 spaced-repetition cards on Kubernetes networking` ## Practice cloud & tech locally (no subscription needed) LearningOS includes **361 hands-on labs** (`*-lab` skills) so you learn by doing — per language (Python, JS, TS, Go, Rust, Java, C#), framework (React), data (pandas, SQL, Spark, Kafka, PyTorch), and tooling (Git, Docker/Kubernetes). For **AWS / Azure / GCP / Oracle (OCI)**, you can do the cloud labs **entirely offline** against the free, open-source **[Floci](https://github.com/floci-io/floci)** local emulators — `docker compose up`, no cloud account, token, or paid tier. The dedicated skills walk you through setup: - `/floci-aws-local-lab` — AWS locally via [Floci](https://github.com/floci-io/floci) (`http://localhost:4566`) - `/floci-azure-local-lab` — Azure locally via [Floci AZ](https://github.com/floci-io/floci-az) (`http://localhost:4577`) - `/floci-gcp-local-lab` — GCP locally via [floci-gcp](https://github.com/floci-io/floci-gcp) (`http://localhost:4588`) - `/floci-oracle-local-lab` — Oracle (OCI) locally via [floci-oci](https://github.com/floci-io/floci-oci) (`http://localhost:4599`) Point your existing SDK / CLI / Terraform at the local endpoint and run the `aws-*-lab`, `azure-*-lab`, and `gcp-*-lab` exercises for free. (Floci is an emulator for learning/dev/testing — verify behavior against the official cloud docs before production.) **And it's not just cloud** — you can practice **databases** (Postgres, MySQL, MongoDB, Redis, SQLite), **messaging** (Redpanda/Kafka, RabbitMQ, NATS, MQTT), **Kubernetes** (minikube, kind, k3d), **observability** (Prometheus + Grafana, Jaeger), **auth** (Keycloak), and even **LLMs & RAG** (Ollama + Chroma/Qdrant/pgvector — *no API key or cost*) entirely on your laptop. The full, verified catalog with the matching labs is in **[docs/LocalPractice.md](docs/LocalPractice.md)**. ## Extend it — build a new role-agent from config Instead of writing a new prompt, describe the role in YAML and let LearningOS build the agent: 1. Copy `.github/roles/_TEMPLATE.role.yml` to `.github/roles/my-role.role.yml` and fill it in. 2. Run the `role-composer` skill: `/role-composer .github/roles/my-role.role.yml`. 3. A ready-to-use `.github/agents/.agent.md` is generated in the correct format. **122 ready-made role configs** ship across every domain (Software, Programming Languages, Web & Frameworks, AI/ML, Data/BI, Cloud & Platform, DevOps/SRE, Security, QA & Testing, Design/Docs, Archite … ## Source & license This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code. - **Author:** [ArasaniRohithReddy](https://github.com/ArasaniRohithReddy) - **Source:** [ArasaniRohithReddy/LearningOS](https://github.com/ArasaniRohithReddy/LearningOS) - **License:** MIT - **Homepage:** https://arasanirohithreddy.github.io/LearningOS/ Install and usage instructions live in the source repository linked above. ## Pricing - **Free** — Free ## Security capabilities Automated source analysis of v0.1.0 — what this tool can access: - **Network access:** no - **Filesystem access:** no - **Shell / process execution:** no - **Environment & secrets:** no - **Dynamic code execution:** no *"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.* ## Versions - **0.1.0** — security scan: passed — Imported from the upstream source. ## Links - Listing page: https://agentstack.voostack.com/l/mcp-arasanirohithreddy-learningos - Seller: https://agentstack.voostack.com/s/arasanirohithreddy - Browse the marketplace: https://agentstack.voostack.com/browse --- Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.