GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Self-hosted voice AI platform with speech-to-speech, LLM integration, telephony support
Good fit when
- You need on-premise deployment for better security or data control
- Require BYOK and native MCP (Multi-cluster Placement) support
Avoid when
- Seeking cloud-managed services without self-hosting capabilities
- Need real-time collaboration with non-local models in the cloud
Observed Jul 17, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of Sep 20, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 20, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install dograhSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
Dograh is a self-hosted alternative to Vapi and Retell, offering features for on-prem deployment, speech-to-speech, LLM integration, telephony support, with a visual workflow builder.
Capability facts
- Languages
- python
Source: github.language · Sep 20, 2026
Categories
Tags
README
Self Hosted Deployment For detailed deployment instructions including remote server setup with HTTPS, see our Docker Deployment Guide. Getting Started Fork the repository Create your feature branch (git checkout b feature/AmazingFeature) Commit your changes (git commit m 'Add som...
For agents
This page has a .md twin and JSON over the API.