{"data":{"slug":"onyx-dot-app-onyx","name":"onyx","tagline":"Open Source AI Platform - AI Chat with advanced features that works with every LLM","github_url":"https://github.com/onyx-dot-app/onyx","owner":"onyx-dot-app","repo":"onyx","owner_avatar_url":"https://avatars.githubusercontent.com/u/131946000?v=4","primary_language":"Python","stars":32153,"forks":4477,"topics":["ai","ai-chat","chatgpt","chatui","enterprise-search","gen-ai","information-retrieval","llm","llm-ui","nextjs","python","rag","self-hosted","vector-search"],"archived":false,"github_pushed_at":"2026-09-18T05:39:36+00:00","maintenance_label":"Very active","stars_delta_30d":536,"url":"https://www.graphcanon.com/tools/onyx-dot-app-onyx","markdown_url":"https://www.graphcanon.com/tools/onyx-dot-app-onyx.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/onyx-dot-app-onyx","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=onyx-dot-app-onyx","description":"Open Source AI Platform - AI Chat with advanced features that works with every LLM","homepage_url":"https://onyx.app","license":"Other","open_issues":470,"watchers":159,"ai_summary":"Onyx is an open-source AI platform that supports AI chat functionalities with advanced features, suitable for deployment in various environments including Docker, Kubernetes, and cloud providers. It offers both Lite and Standard deployment modes, with the latter including vector and keyword indexing, AI model inference servers, and performance optimizations.","readme_excerpt":"## 🚀 Deployment Modes\n\n> Onyx supports deployments in Docker, Kubernetes, Helm/Terraform and provides guides for major cloud providers.\n> Detailed deployment guides found [here](https://docs.onyx.app/deployment/overview).\n\nOnyx supports two separate deployment options: standard and lite.\n\n#### Onyx Lite\n\nThe Lite mode can be thought of as a lightweight Chat UI. It requires less resources (under 1GB memory) and runs a less complex stack.\nIt is great for users who want to test out Onyx quickly or for teams who are only interested in the Chat UI and Agents functionalities.\n\n#### Standard Onyx\n\nThe complete feature set of Onyx which is recommended for serious users and larger teams. Additional components not included in Lite mode:\n- Vector + Keyword index for RAG.\n- Background containers to run job queues and workers for syncing knowledge from connectors.\n- AI model inference servers to run deep learning models used during indexing and inference.\n- Performance optimizations for large scale use via in memory cache (Redis) and blob store (MinIO).\n\n> [!TIP]  \n> **To try Onyx for free without deploying, visit [Onyx Cloud](https://cloud.onyx.app/signup?utm_source=onyx_repo&utm_medium=github&utm_campaign=readme)**.\n\n---\n\n---\n\n## 📚 Licensing\n\nThere are two editions of Onyx:\n\n- Onyx Community Edition (CE) is available freely under the MIT license and covers all of the core features for Chat, RAG, Agents, and Actions.\n- Onyx Enterprise Edition (EE) includes extra features that are primarily useful for larger organizations.\n\nFor feature details, check out [our website](https://www.onyx.app/pricing?utm_source=onyx_repo&utm_medium=github&utm_campaign=readme).","github_created_at":"2023-04-27T06:04:01+00:00","created_at":"2026-07-07T17:32:01.919593+00:00","updated_at":"2026-09-20T04:32:51.006895+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":"data-retrieval","name":"Data & Retrieval","url":"https://www.graphcanon.com/categories/data-retrieval","markdown_url":"https://www.graphcanon.com/categories/data-retrieval.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/data-retrieval"},{"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":"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"},{"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":"ai-chat","name":"ai-chat"},{"slug":"chatui","name":"chatui"},{"slug":"enterprise-search","name":"enterprise-search"},{"slug":"gen-ai","name":"gen-ai"},{"slug":"information-retrieval","name":"information retrieval"},{"slug":"llm","name":"llm"},{"slug":"llm-ui","name":"llm-ui"},{"slug":"nextjs","name":"nextjs"}],"trust":{"provenance":{"is_fork":false,"github_id":633262635,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-18T08:42:58.211Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":30,"days_since_push":0,"last_release_at":"2026-09-16T23:02:35Z","stars_delta_30d":536,"open_issues_delta_30d":69},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-09-20T04:00:35.559Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"mcp":{"source":"repo_scan","observed_at":"2026-09-18T08:42:56.990Z","server_manifest":false},"scan":{"source":"repo_scan","observed_at":"2026-09-18T08:42:56.990Z"},"languages":{"value":["python","javascript"],"source":"github.language+package.json+pyproject.toml","observed_at":"2026-09-18T08:42:56.990Z"},"license_spdx":{"value":"Other","source":"github.license","observed_at":"2026-09-18T08:42:56.990Z"}},"decision_facts":{"hosting":null,"pricing":{"model":"freemium","summary":"Onyx Community Edition is free under the MIT license, while the Enterprise Edition includes extra features for larger organizations and requires a paid subscription."},"requirements":{"notes":["Lite mode requires under 1GB of memory, while Standard mode requires more resources for its additional features."],"min_ram_gb":1},"constraints":{"min_ram_gb":1,"pricing_model":"freemium"},"when_to_use":["use Onyx when you need a platform that supports both lightweight and full-featured deployments, including vector and keyword indexing, and performance optimizations for large-scale use.","consider Onyx if you are working with a wide range of LLMs and require a self-hosted solution that can be deployed across different environments such as Docker, Kubernetes, and major cloud providers."],"when_not_to_use":["avoid Onyx if you are looking for a platform that requires minimal setup and resource usage beyond what the Lite mode offers.","do not use Onyx if your project does not benefit from vector and keyword indexing, AI model inference servers, or performance optimizations, as these features are only available in the Standard mode."],"source":"enrich:decision_facts","observed_at":"2026-09-18T09:08:34.081Z"},"constraint_facets":{"min_ram_gb":1,"pricing_model":"freemium"},"decision_summary":[{"label":"Pricing","value":"freemium - Onyx Community Edition is free under the MIT license, while the Enterprise Edition includes extra features for larger organizations and requires a paid subscription."},{"label":"Requirements","value":"Min 1 GB RAM; Lite mode requires under 1GB of memory, while Standard mode requires more resources for its additional features."},{"label":"Adopt for","value":"Onyx is an open-source AI platform that supports AI chat functionalities with advanced features, suitable for deployment in various environments including Docker, Kubernetes, and cloud providers. It offers both Lite and,"},{"label":"License detail","value":"Onyx is available in two editions: Community Edition (CE) under the MIT license, which covers core features, and Enterprise Edition (EE) with additional features for larger organizations."}]}}