onyx
Open Source AI Platform - AI Chat with advanced features that works with every LLM
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
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,
Good fit when
- 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.
Avoid when
- 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.
- Pricing:
- 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.
- Requirements:
- Min 1 GB RAM; Lite mode requires under 1GB of memory, while Standard mode requires more resources for its additional features.
Observed Sep 18, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 18, 2026
- Security (OSV)
- No lockfile
- As of Sep 20, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install onyxHow it fits your stack(4)
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Overview
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.
Capability facts
- MCP server
- No MCP server detected
Source: repo_scan · Sep 18, 2026
- Languages
- python, javascript
Source: github.language+package.json+pyproject.toml · Sep 18, 2026
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README
🚀 Deployment Modes Onyx supports deployments in Docker, Kubernetes, Helm/Terraform and provides guides for major cloud providers. Detailed deployment guides found here. Onyx supports two separate deployment options: standard and lite. Onyx Lite The Lite mode can be thought of as...
For agents
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