Snapshot
Continue to About ↓- What it does
- Dograh is an open-source, self-hostable platform for building AI voice agents that handle inbound and outbound phone calls, with a visual workflow builder and swappable speech-to-text, LLM, text-to-speech and telephony components.
More detail
- Teams can run it on their own servers for free under BSD 2-Clause, use Dograh's managed cloud, or have Dograh deploy the full stack inside their own VPC.
- Best for
- Developers and small teams that want to build and self-host voice agents without vendor lock-in, and regulated organizations (fintech, healthtech, insurance, legal, defense, government) that cannot let call data or model inference leave their perimeter.
- Pricing
- Three paths.
More detail
- Open source: free forever under BSD 2-Clause, self-hosted, no platform limits, but you pay your own infrastructure and model costs.
- Self-serve pay-as-you-go: a 1¢/minute platform fee, credits from $5, 10 concurrent calls included (higher on request), with bring-your-own keys or Dograh-h
- Main limitation
- Teams that want a fully turnkey, zero-ops product with no infrastructure staff, since self-hosting means running the stack yourself.
More detail
- Buyers who need a mature, generally available bring-your-own-LLM option should note that LLM swapping is described as beta.
- Record
- Living and monitored
- Reviewed
- Evidence
- Public web research
- Machine access
- Structured profile ↗
About
- Dograh is an open-source, self-hostable platform for building AI voice agents that handle inbound and outbound phone calls, with a visual workflow builder and swappable speech-to-text, LLM, text-to-speech and telephony components.
- Teams can run it on their own servers for free under BSD 2-Clause, use Dograh's managed cloud, or have Dograh deploy the full stack inside their own VPC.
What it helps with
- Hosted voice-agent vendors lock teams into closed APIs and forced data flows, which blocks regulated buyers from using t
- Call data, recordings and transcripts leaving the perimeter creates compliance and vendor-review burden
- Opaque billing and platform markups make voice agent costs hard to predict
- The standard speech-to-text, LLM, text-to-speech cascade adds latency hops
- Vendor lock-in prevents teams from swapping models, telephony or the underlying stack
- Teams need a way to build and change voice agents from developer tooling rather than a proprietary console
Capabilities
A practical view of what is available and where limitations apply.
| Offering | Available | Detail |
|---|---|---|
| No-code visual workflow builder | Yes | Drag-and-drop builder for conversational states, branches and tool calls |
| Self-hosted open-source edition | Yes | Full platform under BSD 2-Clause, free forever, run on your own servers |
| Bring-your-own STT, TTS and telephony | Yes | Official page states STT and TTS swapping are production-ready |
| Bring-your-own LLM | Limited | Official page states LLM swapping is in beta |
| Speech-to-speech pipeline | Yes | Single-hop audio in, audio out via Gemini 3.1 Flash Live or GPT Realtime 2, per official page |
| On-prem / private cloud deployment | Yes | Enterprise plan deploys the stack inside your data perimeter, optionally air-gapped |
| MCP-native control from developer tools | Yes | MCP server for Claude Code, Cursor, Codex and other MCP clients |
| Human call transfer | Yes | Call transfers to human agents, per the project README |
| Observability and call analytics | Yes | Real-time analytics, traces and recordings described on official pages; depth not independently verified |
| Broad multilingual coverage | Unknown | Homepage attaches 70+ languages to speech-to-speech, while the README lists English as expandable, so coverage is not settled |
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Evidence
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- Verification
- Scribble researched these facts from the linked public sources.
- The owner has not manually confirmed every field.
- Last reviewed
- Primary source
- dograh.com
Technical profile details
Record ID
9a84d19b-b548-4061-b4b1-51765f14ed39Canonical URLhttps://profiles.scribble.network/listing/dograh-9a84d19b