{"data":{"slug":"hypersigilhq-hypersigil","name":"hypersigil","tagline":"Prompt management gateway with UI for AI apps.","github_url":"https://github.com/hypersigilhq/hypersigil","owner":"hypersigilhq","repo":"hypersigil","owner_avatar_url":"https://avatars.githubusercontent.com/u/222071988?v=4","primary_language":"Vue","stars":27,"forks":2,"topics":["llm","llm-evaluation","llm-gateway","prompt-engineering","prompt-toolkit","prompt-tuning"],"archived":false,"github_pushed_at":"2026-04-17T13:20:42+00:00","maintenance_label":"Slowing","url":"https://www.graphcanon.com/tools/hypersigilhq-hypersigil","markdown_url":"https://www.graphcanon.com/tools/hypersigilhq-hypersigil.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/hypersigilhq-hypersigil","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=hypersigilhq-hypersigil","description":"Prompt management gateway with a UI for AI-powered applications. Enables non-technical users to test, refine, and deploy prompts seamlessly across multiple AI providers.","homepage_url":"https://hypersigilhq.github.io/hypersigil/introduction/","license":"Other","open_issues":0,"watchers":0,"ai_summary":"Hypersigil provides a user-friendly interface for non-technical users to test, refine, and deploy prompts across multiple AI providers without needing deep technical knowledge.","readme_excerpt":"### Docker Run Parameters Explained\n\n- `-d`: Run container in detached mode (background)\n- `--name hypersigil`: Assign a name to the container for easy management\n- `-p 8080:8080`: Map host port 8080 to container port 80 (change first number for different host port)\n- `-v $(pwd)/hypersigil:/app/data`: Mount data directory for persistent storage\n- `--init`: Use proper init system for signal handling\n</details>\n\n---\n\n## Getting Started with local development\n<details><summary>Details</summary>\n\n---\n\n### Installation\n\n1. **Clone the repository**\n   ```bash\n   git clone <repository-url>\n   cd hypersigil\n   ```\n\n2. **Install backend dependencies**\n   ```bash\n   cd backend\n   npm install\n   ```\n\n3. **Install frontend dependencies**\n   ```bash\n   cd ../ui\n   npm install\n   ```\n\n4. **Configure environment**\n   ```bash\n   cd ../backend\n   cp .env.example .env\n   # Edit .env with your configuration\n   ```\n\n5. **Start the development servers**\n   \n   Backend:\n   ```bash\n   cd backend\n   npm run dev\n   ```\n   \n   Frontend (in a new terminal):\n   ```bash\n   cd ui\n   npm run dev\n   ```\n\n6. **Access the application**\n   - Frontend: http://localhost:5173\n   - Backend API: http://localhost:3000\n\n</details>\n\n---\n\n## License\n\nHypersigil is licensed under Apache 2.0 with Commons Clause. This means:\n\n- ✅ **Internal business use is allowed** - You can use Hypersigil within your organization for internal purposes\n- ✅ **Modification and distribution** - You can modify the code and distribute it\n- ✅ **Building applications** - You can create applications that use Hypersigil\n- ❌ **Commercial selling prohibited** - You cannot sell Hypersigil itself as a product or service\n\nThe Commons Clause restriction only applies to selling the software itself. You are free to use it internally, modify it, and build upon it for your business needs.\n\nFor the complete license terms, see the [LICENSE](LICENSE) file.\n\nContact: piotr (at) codefibers.pl","github_created_at":"2025-07-24T10:28:04+00:00","created_at":"2026-07-11T23:16:33.779754+00:00","updated_at":"2026-08-02T12:00:27.883422+00:00","categories":[{"slug":"evaluation-observability","name":"Evaluation & Observability","url":"https://www.graphcanon.com/categories/evaluation-observability","markdown_url":"https://www.graphcanon.com/categories/evaluation-observability.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/evaluation-observability"},{"slug":"inference-serving","name":"Inference & Serving","url":"https://www.graphcanon.com/categories/inference-serving","markdown_url":"https://www.graphcanon.com/categories/inference-serving.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/inference-serving"}],"tags":[{"slug":"llm","name":"llm"},{"slug":"llm-evaluation","name":"llm-evaluation"},{"slug":"llm-gateway","name":"llm-gateway"},{"slug":"prompt-engineering","name":"prompt-engineering"},{"slug":"prompt-toolkit","name":"prompt-toolkit"},{"slug":"prompt-tuning","name":"prompt-tuning"}],"trust":{"provenance":{"is_fork":false,"github_id":1025488694,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-02T12:00:26.851Z","maintenance":{"label":"Slowing","score":36,"methodology":"github_public_v1","releases_90d":0,"days_since_push":106,"last_release_at":"2025-08-03T20:34:44Z"},"security_summary":{"status":"ok","scanner":"osv@v1","low_count":0,"high_count":0,"last_scan_at":"2026-07-11T23:16:38.354Z","medium_count":0,"scan_profile":"deps","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-02T12:00:27.323Z"},"deploy":{"source":"dockerfile:Dockerfile","self_host":true,"observed_at":"2026-08-02T12:00:27.323Z","managed_saas":false},"languages":{"value":["vue"],"source":"github.language","observed_at":"2026-08-02T12:00:27.323Z"},"has_docker":{"value":true,"source":"dockerfile:Dockerfile","observed_at":"2026-08-02T12:00:27.323Z"},"license_spdx":{"value":"Other","source":"github.license","observed_at":"2026-08-02T12:00:27.323Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":null,"constraints":null,"when_to_use":["Ideal when you need a user-friendly prompt management tool and your team prefers a UI-driven approach without deep technical knowledge.","Suitable if your workflow involves frequent testing, refining, and deploying of prompts across different AI services."],"when_not_to_use":["Avoid if your setup requires commercial selling of the software as Hypersigil's license restricts it to internal use only under Apache 2.0 with Commons Clause.","Not recommended for teams that already have a robust, customized pipeline for prompt management without UI dependency."],"source":"enrich:decision_facts","observed_at":"2026-07-16T20:30:33.261Z"},"constraint_facets":null,"decision_summary":[{"label":"Adopt for","value":"Hypersigil offers a web interface for non-technical users to manage prompts with multiple AI providers via Docker."}]}}