[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-73233":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":17,"stars7d":17,"stars30d":18,"stars90d":16,"forks30d":16,"starsTrendScore":19,"compositeScore":20,"rankGlobal":10,"rankLanguage":10,"license":21,"archived":22,"fork":22,"defaultBranch":23,"hasWiki":24,"hasPages":22,"topics":25,"createdAt":10,"pushedAt":10,"updatedAt":31,"readmeContent":32,"aiSummary":33,"trendingCount":16,"starSnapshotCount":16,"syncStatus":34,"lastSyncTime":35,"discoverSource":36},73233,"ClaraVerse","claraverse-space\u002FClaraVerse","claraverse-space","Claraverse is a opesource privacy focused ecosystem to replace ChatGPT, Claude, N8N, ImageGen with your own hosted llm, keys and compute. With desktop, IOS, Android Apps.","https:\u002F\u002Fclaraverse.space",null,"Go",3821,428,52,6,0,1,16,3,29.9,"Other",false,"main",true,[26,27,28,29,30],"hacktoberfest","llm","ollama","opensourcellms","webui","2026-06-12 02:03:10","\u003Cdiv align=\"center\">\n\n\u003Cimg src=\"docs\u002Fimages\u002Fimage-banner.png\" alt=\"ClaraVerse - Your Private AI Workspace\" width=\"800\" \u002F>\n\n### **Your Private AI Workspace**\n\n*Built by the community, for the community. Private AI that respects your freedom.*\n\n\u003Cp>\n\n[![License](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002Flicense-AGPL--3.0-blue.svg)](LICENSE)\n[![GitHub Stars](https:\u002F\u002Fimg.shields.io\u002Fgithub\u002Fstars\u002Fclaraverse-space\u002FClaraVerse?style=social)](https:\u002F\u002Fgithub.com\u002Fclaraverse-space\u002FClaraVerse\u002Fstargazers)\n[![Docker Pulls](https:\u002F\u002Fimg.shields.io\u002Fdocker\u002Fpulls\u002Fclaraverseoss\u002Fclaraverse?color=blue)](https:\u002F\u002Fhub.docker.com\u002Fr\u002Fclaraverseoss\u002Fclaraverse)\n[![Discord](https:\u002F\u002Fimg.shields.io\u002Fbadge\u002FDiscord-Join%20Us-7289da?logo=discord&logoColor=white)](https:\u002F\u002Fdiscord.com\u002Finvite\u002Fj633fsrAne)\n\n[Website](https:\u002F\u002Fclaraverse.space) · [Documentation](#documentation) · [Quick Start](#quick-start) · [Community](#community) · [Contributing](#contributing)\n\n\u003C\u002Fp>\n\u003C\u002Fdiv>\n\n## What is ClaraVerse?\n\nClaraVerse is a private AI workspace that combines chat, visual workflows, long-running tasks, and Telegram integration in one app. Assign Clara research, coding, or automation tasks and track everything on a board. Use OpenAI, Claude, Gemini, or local models like Ollama — with browser-local storage that keeps your conversations private.\n\nIf you have **Ollama** or **LM Studio** running on your machine, ClaraVerse detects them automatically and imports all your models — zero configuration.\n\n---\n\n## Quick Start\n\n### One-line install (Linux \u002F macOS)\n\n```bash\ncurl -fsSL https:\u002F\u002Fraw.githubusercontent.com\u002Fclaraverse-space\u002FClaraVerse\u002Fmain\u002Fcli\u002Finstall.sh | bash && claraverse init\n```\n\n### Docker Compose\n\n```bash\ngit clone https:\u002F\u002Fgithub.com\u002Fclaraverse-space\u002FClaraVerse.git\ncd ClaraVerse\ndocker compose -f docker-compose.production.yml up -d\n```\n\nOpen **http:\u002F\u002Flocalhost:3000** — register your account (first user becomes admin) and start chatting.\n\n> **Have Ollama running?** ClaraVerse auto-detects it and imports all your models. No setup needed.\n> Make sure Ollama is listening on `0.0.0.0` (set `OLLAMA_HOST=0.0.0.0` in your Ollama config).\n\n\u003Cdetails>\n\u003Csummary>\u003Cb>Docker run (single command)\u003C\u002Fb>\u003C\u002Fsummary>\n\n```bash\ndocker run -d \\\n  --name claraverse \\\n  -p 3000:3000 \\\n  -v claraverse-data:\u002Fapp\u002Fdata \\\n  -v claraverse-uploads:\u002Fapp\u002Fuploads \\\n  --add-host=host.docker.internal:host-gateway \\\n  ghcr.io\u002Fclaraverse-space\u002Fclaraverse:latest\n```\n\nThis runs ClaraVerse with a single container. For the full stack with MySQL, MongoDB, Redis, and SearXNG, use the Docker Compose setup above.\n\n\u003C\u002Fdetails>\n\n\u003Cdetails>\n\u003Csummary>\u003Cb>Advanced configuration\u003C\u002Fb>\u003C\u002Fsummary>\n\n### Prerequisites\n\n- Docker & Docker Compose v2+\n- 4 GB RAM minimum (8 GB recommended)\n- Ollama, LM Studio, or any OpenAI-compatible API\n\n### Environment variables\n\nOverride defaults by creating a `.env` file next to `docker-compose.production.yml`:\n\n```bash\n# Port (default 3000)\nCLARAVERSE_PORT=8080\n\n# Point to a custom Ollama or LM Studio URL\nOLLAMA_BASE_URL=http:\u002F\u002Fhost.docker.internal:11434\nLMSTUDIO_BASE_URL=http:\u002F\u002Fhost.docker.internal:1234\n```\n\n### Local AI auto-detection\n\nClaraVerse automatically discovers local AI providers running on your host machine:\n\n| Provider            | Default URL                           | What happens                                      |\n| ------------------- | ------------------------------------- | ------------------------------------------------- |\n| **Ollama**    | `http:\u002F\u002Fhost.docker.internal:11434` | Models imported, provider created, visibility set |\n| **LM Studio** | `http:\u002F\u002Fhost.docker.internal:1234`  | Models imported via OpenAI-compatible API         |\n\nThe discovery runs every 2 minutes. When a provider goes offline, it's automatically disabled. When it comes back, models are re-imported.\n\n**Ollama setup tip:** Ollama defaults to `127.0.0.1` which Docker containers can't reach. Set `OLLAMA_HOST=0.0.0.0`:\n\n```bash\n# If using systemd:\nsudo systemctl edit ollama\n# Add under [Service]:\n# Environment=\"OLLAMA_HOST=0.0.0.0\"\nsudo systemctl restart ollama\n```\n\n### Troubleshooting\n\n```bash\n# View logs\ndocker compose -f docker-compose.production.yml logs -f claraverse\n\n# Restart\ndocker compose -f docker-compose.production.yml restart\n\n# Fresh start (removes all data)\ndocker compose -f docker-compose.production.yml down -v && docker compose -f docker-compose.production.yml up -d\n```\n\n\u003C\u002Fdetails>\n\n---\n\n## Core Capabilities\n\n### Nexus — Your AI Command Center\n\nAssign Clara long-running tasks like research, coding, or analysis. Track everything on a Kanban board — you always know what she's working on and why. No black box.\n\n\u003Cp align=\"center\">\n  \u003Cimg src=\"docs\u002Fimages\u002Fnexus.gif\" alt=\"Nexus - AI Task Management\" width=\"80%\" \u002F>\n\u003C\u002Fp>\n\n### Skills in Chat\n\nClara uses skills mid-conversation — context-aware tools that activate when needed. Search the web, generate images, analyze data, all without leaving the chat.\n\n\u003Cp align=\"center\">\n  \u003Cimg src=\"docs\u002Fimages\u002Fskills.png\" alt=\"Skills in Chat\" width=\"80%\" \u002F>\n\u003C\u002Fp>\n\n### Channels — Telegram Integration\n\nTalk to Clara from Telegram when you're away from the app. Set up routines that run on a schedule and report back to your phone.\n\n\u003Cp align=\"center\">\n  \u003Cimg src=\"docs\u002Fimages\u002Fchannels.png\" alt=\"Channels - Telegram Integration\" width=\"80%\" \u002F>\n\u003C\u002Fp>\n\n### 150+ Integrations & Tools Out of the Box\n\nSlack, GitHub, Jira, Google Sheets, Notion, Discord, Telegram, HubSpot, and many more — built in, no MCP required. All integrations are shared across Chat, Workflows, Nexus, and Routines. Connect once, use everywhere.\n\n\u003Cp align=\"center\">\n  \u003Cimg src=\"docs\u002Fimages\u002Fintegration.png\" alt=\"150+ Integrations\" width=\"80%\" \u002F>\n\u003C\u002Fp>\n\n### Interactive Artifacts\n\nHave all your creations in one place — images, charts, games, apps and more.\n\n\u003Cp align=\"center\">\n  \u003Cimg src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002Fd525fc67-6792-4083-9549-1d6b0e770e9e\" width=\"80%\" \u002F>\n\u003C\u002Fp>\n\n### AI Docs\n\nBuilt-in tools for PPT, PDF, CSV and much more.\n\n\u003Cp align=\"center\">\n  \u003Cimg src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002Fce881510-b7f2-4262-a3c9-f02e7c9e8e1f\" width=\"80%\" \u002F>\n\u003C\u002Fp>\n\n### Interactive Chat UI (Human in the Loop)\n\nThe AI asks you visual questions when it needs your input.\n\n\u003Cp align=\"center\">\n  \u003Cimg src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002Fbbd5444d-2031-4193-ba6a-96ab7c96768d\" width=\"80%\" \u002F>\n\u003C\u002Fp>\n\n### Workflows — Visual Automation\n\nDrag-and-drop workflow builder with parallel execution, scheduling, and 200+ integrations. Describe what you need and let the LLM build the automation for you.\n\n\u003Cp align=\"center\">\n  \u003Cimg src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002F02154cd3-7adf-43cc-b5e8-0dcbdc9a75af\" width=\"80%\" \u002F>\n\u003C\u002Fp>\n\n### Schedule, API and Automate\n\nUse workflows with your web apps, schedule daily messages, automate repetitive tasks.\n\n\u003Cp align=\"center\">\n  \u003Cimg src=\"https:\u002F\u002Fgithub.com\u002Fuser-attachments\u002Fassets\u002F1858fb39-a61c-4976-9a85-3142fda6269b\" width=\"80%\" \u002F>\n\u003C\u002Fp>\n\n---\n\n## Key Features\n\n| Feature                           | Description                                                                  |\n| --------------------------------- | ---------------------------------------------------------------------------- |\n| **Nexus**                   | Assign long-running tasks, track progress on a Kanban board                  |\n| **Skills**                  | Context-aware tools that activate mid-conversation when needed               |\n| **Channels**                | Telegram integration — talk to Clara from your phone                        |\n| **Routines**                | Scheduled task sequences that report back via Telegram                       |\n| **Workflows**               | Drag-and-drop builder with parallel execution, scheduling, 200+ integrations |\n| **150+ Integrations**       | Slack, GitHub, Jira, Notion, and more — shared across Chat, Workflows, Nexus, and Routines |\n| **Devices**                 | Connect all your machines — Clara reaches MCP on any of them remotely       |\n| **Clara Companion**         | Bridge local MCP servers to ClaraVerse over WebSocket from any machine       |\n| **Browser-Local Storage**   | Conversations stay in IndexedDB — zero-knowledge architecture               |\n| **Local AI Auto-Detection** | Ollama and LM Studio discovered and imported automatically                   |\n| **Multi-Provider**          | OpenAI, Anthropic, Google, Ollama, any OpenAI-compatible endpoint            |\n| **MCP Bridge**              | Native Model Context Protocol support for seamless tool connections          |\n| **Interactive Prompts**     | AI asks clarifying questions mid-conversation with typed forms               |\n| **Memory System**           | Clara remembers context across conversations, auto-archives old memories     |\n| **BYOK**                    | Bring your own API keys or use free local models                             |\n\n---\n\n## Clara Companion (MCP Bridge)\n\nConnect your local tools and filesystem to ClaraVerse via the Clara Companion CLI. It bridges local MCP servers to your ClaraVerse instance over WebSocket.\n\n\u003Cp align=\"center\">\n  \u003Cimg src=\"docs\u002Fimages\u002Fclaracompanion.png\" alt=\"Clara Companion\" width=\"80%\" \u002F>\n\u003C\u002Fp>\n\n```bash\n# Install via the claraverse CLI\nclaraverse companion\n\n# Login (choose default localhost:3000 or enter your server URL)\nclara_companion login\n\n# Start the bridge\nclara_companion\n```\n\nOr install manually from [GitHub Releases](https:\u002F\u002Fgithub.com\u002Fclaraverse-space\u002FClaraVerse\u002Freleases).\n\n---\n\n## Try It Out\n\n| Option                                                                   | Description                                                          |\n| ------------------------------------------------------------------------ | -------------------------------------------------------------------- |\n| [**Cloud**](https:\u002F\u002Fclaraverse.space)                                 | Free hosted version — no setup required                             |\n| [**Self-Hosted**](#quick-start)                                       | Docker deployment (this repo) — full control on your infrastructure |\n| [**Desktop**](https:\u002F\u002Fgithub.com\u002Fclaraverse-space\u002FClaraVerse-Desktop) | Standalone Electron app for Windows, macOS, Linux                    |\n\n---\n\n## Tech Stack\n\n| Layer              | Technology                                            |\n| ------------------ | ----------------------------------------------------- |\n| **Frontend** | React 19, TypeScript, Vite 7, Tailwind CSS 4, Zustand |\n| **Backend**  | Go 1.24, Fiber, WebSocket streaming                   |\n| **Database** | MySQL, MongoDB, Redis (all bundled in Docker Compose) |\n| **Search**   | SearXNG (private, self-hosted)                        |\n| **Auth**     | Local JWT with Argon2id password hashing              |\n\n---\n\n## Development Setup\n\nFor contributors working on the codebase:\n\n```bash\n# Prerequisites: Go 1.24+, Node.js 20+, Docker\n\n# Clone the repo\ngit clone https:\u002F\u002Fgithub.com\u002Fclaraverse-space\u002FClaraVerse.git\ncd ClaraVerse\n\n# Start backing services (MySQL, MongoDB, Redis, SearXNG)\ndocker compose -f docker-compose.dev.yml up -d\n\n# Backend\ncd backend\ncp .env.example .env\ngo run cmd\u002Fserver\u002Fmain.go\n\n# Frontend (separate terminal)\ncd frontend\ncp .env.example .env\nnpm install\nnpm run dev\n```\n\nFrontend runs at `http:\u002F\u002Flocalhost:5173`, backend at `http:\u002F\u002Flocalhost:3001`.\n\nSee [CONTRIBUTING.md](CONTRIBUTING.md) for coding standards and PR guidelines.\n\n---\n\n## Documentation\n\n| Resource                                | Description                              |\n| --------------------------------------- | ---------------------------------------- |\n| [Architecture](docs\u002FARCHITECTURE.md)       | System architecture and design decisions |\n| [API Reference](docs\u002FAPI_REFERENCE.md)     | REST and WebSocket API                   |\n| [Admin Guide](docs\u002FADMIN_GUIDE.md)         | System administration and provider setup |\n| [Developer Guide](docs\u002FDEVELOPER_GUIDE.md) | Contributing and local development       |\n| [Quick Reference](docs\u002FQUICK_REFERENCE.md) | Common commands and shortcuts            |\n\n---\n\n## Contributing\n\n1. Fork the repository\n2. Create a feature branch: `git checkout -b feature\u002Famazing-feature`\n3. Make changes and test\n4. Run `cd frontend && npm run lint && npm run type-check`\n5. Commit and open a Pull Request\n\n**Areas we need help:**\n\n- Bug fixes ([open issues](https:\u002F\u002Fgithub.com\u002Fclaraverse-space\u002FClaraVerse\u002Fissues))\n- New tool integrations and model providers\n- Documentation improvements\n- Translations\n\nSee [CONTRIBUTING.md](CONTRIBUTING.md) for the full guide.\n\n---\n\n## Community\n\n- [Discord](https:\u002F\u002Fdiscord.com\u002Finvite\u002Fj633fsrAne) — Chat and support\n- [Twitter\u002FX](https:\u002F\u002Fx.com\u002Fclaraversehq) — Updates\n- [GitHub Issues](https:\u002F\u002Fgithub.com\u002Fclaraverse-space\u002FClaraVerse\u002Fissues) — Bug reports\n- [GitHub Discussions](https:\u002F\u002Fgithub.com\u002Fclaraverse-space\u002FClaraVerse\u002Fdiscussions) — Feature requests\n\n---\n\n## License\n\n**AGPL-3.0** — Free to use, modify, and host commercially. Modifications must be open-sourced. See [LICENSE](LICENSE) for details.\n\n---\n\n\u003Cdiv align=\"center\">\n\n**Built with love by the ClaraVerse Community**\n\n[Back to Top](#your-private-ai-workspace)\n\n## Star History\n\n[![Star History Chart](https:\u002F\u002Fapi.star-history.com\u002Fsvg?repos=claraverse-space\u002FClaraVerse&type=timeline&legend=bottom-right)](https:\u002F\u002Fwww.star-history.com\u002F#claraverse-space\u002FClaraVerse&type=timeline&legend=bottom-right)\n\n\u003C\u002Fdiv>\n","ClaraVerse 是一个开源的、注重隐私的生态系统，旨在替代ChatGPT、Claude等服务，让用户能够使用自己的托管模型、密钥和计算资源。它支持桌面端及iOS、Android应用，核心功能包括聊天、可视化工作流管理、长任务处理以及Telegram集成，特别适合需要高度隐私保护的个人或团队使用本地AI模型进行研究、编码或自动化任务。项目基于Go语言开发，易于通过Docker快速部署，并能自动检测并导入用户机器上运行的Ollama或LM Studio模型，无需额外配置，极大地简化了本地AI环境的搭建过程。",2,"2026-06-11 03:44:38","high_star"]