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Self-hosted voice AI platform — Vapi/Retell alternative with MCP and visual workflow builder
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| name | dograh |
| description | Self-hosted voice AI platform — Vapi/Retell alternative with MCP and visual workflow builder |
| tags | ["voice-ai","telephony","selfhosted","mcp","stt","tts"] |
| related_skills | ["hermes-agent"] |
Build, deploy, and manage voice AI applications on your own infrastructure. MCP native.
git clone https://github.com/dograh-hq/dograh.git
cd dograh
pip install -e .
# Set provider keys
export OPENAI_API_KEY=*** DEEPGRAM_API_KEY=*** ELEVENLABS_API_KEY=***
# Or use .env file
cp .env.example .env
dograh serve --port 8080
curl -X POST http://localhost:8080/api/workflows \
-H "Content-Type: application/json" \
-d '{
"name": "appointment-scheduler",
"voice": "alloy",
"llm": "gpt-4",
"prompt": "You are a friendly appointment scheduler. Help callers book appointments.",
"max_duration_seconds": 300
}'
dograh mcp --port 8090
# Add to agent config:
# "mcpServers": {"dograh": {"command": "dograh", "args": ["mcp", "--port", "8090"]}}
# Start server
dograh serve --port 8080 &
# Health check
curl http://localhost:8080/health
# Create test workflow
curl -X POST http://localhost:8080/api/workflows \
-H "Content-Type: application/json" \
-d '{"name": "test", "voice": "alloy", "llm": "gpt-4", "prompt": "Say hello"}'
# List workflows
curl http://localhost:8080/api/workflows