{"data":{"slug":"h4d3zs-vscodium-rust","name":"vscodium-rust","tagline":"AI-native IDE with agentic workflows and tools for cross-platform development","github_url":"https://github.com/H4D3ZS/vscodium-rust","owner":"H4D3ZS","repo":"vscodium-rust","owner_avatar_url":"https://avatars.githubusercontent.com/u/21985514?v=4","primary_language":"Rust","stars":253,"forks":47,"topics":["agentic-ai","amd","artificial-intelligence","bug-bounty","cross-platform","cybersecurity","developer-tools","ide","iphone-emulator","local-llm","machine-learning","mobile-development","ollama","open-source","pentesting","pytorch","rocm","rust","security-research","vscodium"],"archived":false,"github_pushed_at":"2026-09-17T23:37:27+00:00","maintenance_label":"Very active","stars_delta_30d":7,"url":"https://www.graphcanon.com/tools/h4d3zs-vscodium-rust","markdown_url":"https://www.graphcanon.com/tools/h4d3zs-vscodium-rust.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/h4d3zs-vscodium-rust","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=h4d3zs-vscodium-rust","description":"AI-native IDE with agentic workflows, iPhone emulation on Windows/Linux,  PyTorch ML Studio, and ROCm-optimized local AI. Built for security researchers  and cross-platform developers.","homepage_url":"https://cyberifrit.xyz/","license":"Other","open_issues":19,"watchers":2,"ai_summary":"Includes AI agents integrated into an IDE for security research and development support on multiple platforms such as iPhone emulation on Windows/Linux, PyTorch ML Studio, and ROCm-optimized local AI models.","readme_excerpt":"## Quick start\n\n**Prerequisites:** Node.js 18+ · Rust (rustup) · [Lemonade](https://github.com/lemonade-sdk/lemonade)\n\n```bash\ngit clone https://github.com/H4D3ZS/vscodium-rust.git\ncd vscodium-rust\ngit submodule update --init --recursive    # kortex, turbovec\nnpm install\n\nlemonade pull Huihui-gemma-4-12B-agentic-abliterated-i1-Q4_K_M   # best all-round agent model\nlemonade serve                                                    # :13305\n\nnpm run dev:tauri     # full IDE   (npm run dev = frontend only, npx tauri build = release)\n```\n\nAvoid 2-bit quants — measured 0/6 on tool calling and 2.5–4× slower.\nmacOS: [`docs/build-macos.md`](docs/build-macos.md) · Release: [`docs/release.md`](docs/release.md).\n\n---\n\n## License\n\nMIT — see [LICENSE](LICENSE). The `kortex` submodule is AGPL-3.0 (separate\nrepo). Hosted cloud services are proprietary — see\n[COMMERCIAL-LICENSE.md](COMMERCIAL-LICENSE.md). Summary at the top of this\nREADME under \"What's open, what's not.\"\n\nBuilt on [VSCodium](https://vscodium.com/), [Tauri](https://tauri.app/),\n[Lemonade](https://github.com/lemonade-sdk/lemonade),\n[go-ios](https://github.com/danielpaulus/go-ios),\n[ldid](https://github.com/ProcursusTeam/ldid),\n[Monaco](https://microsoft.github.io/monaco-editor/).\n\niPhone emulation on Apple Silicon builds on two MIT projects — credit to their\nauthors: [vphone-cli](https://github.com/Lakr233/vphone-cli) by\n[Lakr233](https://github.com/Lakr233), and\n[darwin-vm](https://github.com/jprx/darwin-vm) by [jprx](https://github.com/jprx).","github_created_at":"2026-01-20T01:50:25+00:00","created_at":"2026-07-15T11:00:28.122859+00:00","updated_at":"2026-09-20T05:05:10.308599+00:00","categories":[{"slug":"ai-agents","name":"AI Agents","url":"https://www.graphcanon.com/categories/ai-agents","markdown_url":"https://www.graphcanon.com/categories/ai-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/ai-agents"},{"slug":"developer-tools","name":"Developer Tools","url":"https://www.graphcanon.com/categories/developer-tools","markdown_url":"https://www.graphcanon.com/categories/developer-tools.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/developer-tools"},{"slug":"model-training","name":"Model Training","url":"https://www.graphcanon.com/categories/model-training","markdown_url":"https://www.graphcanon.com/categories/model-training.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/model-training"}],"tags":[{"slug":"agentic-ai","name":"agentic-ai"},{"slug":"amd","name":"amd"},{"slug":"artificial-intelligence","name":"artificial-intelligence"},{"slug":"bug-bounty","name":"bug-bounty"},{"slug":"cross-platform","name":"cross-platform"},{"slug":"cybersecurity","name":"cybersecurity"},{"slug":"ide","name":"ide"},{"slug":"iphone-emulator","name":"iphone-emulator"}],"trust":{"provenance":{"is_fork":false,"github_id":1137901590,"owner_type":"User","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-20T05:05:07.832Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":0,"days_since_push":2,"last_release_at":"2026-03-30T20:18:55Z","stars_delta_30d":7,"open_issues_delta_30d":-20},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-15T11:00:29.304Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"mcp":{"source":"repo_scan","observed_at":"2026-09-20T05:05:09.136Z","server_manifest":false},"scan":{"source":"repo_scan","observed_at":"2026-09-20T05:05:09.136Z"},"has_cli":{"value":true,"source":"package.json:bin|scripts","observed_at":"2026-09-20T05:05:09.136Z"},"languages":{"value":["rust","javascript","typescript"],"source":"github.language+package.json","observed_at":"2026-09-20T05:05:09.136Z"},"license_spdx":{"value":"MIT","source":"github.license","observed_at":"2026-09-20T05:05:09.136Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["For developers working on projects that require iPhone emulation on Windows or Linux and wish to have support built directly into their IDE","When you need an IDE with PyTorch ML Studio integrated for machine learning project development, offering streamlined model training experiences","If your work involves ROCm-optimized local AI models where GPU optimization is critical yet direct NVIDIA drivers are not available"],"when_not_to_use":["Avoid using Vscodium-rust if you only require basic coding features and do not rely on the advanced security research tools that it offers","If your project does not benefit from PyTorch ML Studio or ROCm-optimized AI model setups, preferring either a lightweight editor without such integrations or another ecosystem altogether","Do not consider Vscodium-rust if you are developing projects primarily for platforms or frameworks not explicitly supported in its agentic workflows"],"source":"enrich:decision_facts","observed_at":"2026-07-17T10:26:01.145Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"Vscodium-rust is an AI-native integrated development environment designed for developers engaged in security research and cross-platform software development with embedded workflows that make use of AI agents."}]}}