Open source voice AI platform. Self-hosted alternative to Vapi and Retell. On Prem, BYOK across Speech to Speech or LLM/STT/TTS, with a visual workflow builder, MCP native and telephony support.
Star History
Momentum
+144
STARS · LAST 30 DAYS
5
PER DAY
#159
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +35 | +144 | +450 |
| Per day | 5 | 5 | 5 |
| Forks gained | +7 | +29 | +72 |
dograh gained 144 stars in the last 30 days, about 5 a day, and now has 5.7K. It is about 1 year old and has averaged roughly 5.7K stars a year. It ranks #159 among Python repositories and #999 across all languages on GitHubRepo.
Trending Record
5
DAYS ON TRENDING
#343
BEST RANK
Sep 24, 2026
FIRST APPEARANCE
Active
STATUS TODAY
dograh has maintained a continuous presence across global trending indexes, peaking at #343. Below is the 30-day activity profile:
💡 Overview
dograh is an open-source project written in Python: Open source voice AI platform. Self-hosted alternative to Vapi and Retell. On Prem, BYOK across Speech to Speech or LLM/STT/TTS, with a visual workflow builder, MCP native and telephony support.
Engineered for speed, consistency, and developer ease, it solves common hurdles in ai-calling, asterisk-ari, conversational-ai. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install dograh⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
dograh coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with dograh.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install dograh using your package manager: `pip install dograh`
Initialize your project workspace or configuration file for dograh.
Import dograh into your codebase or invoke it directly from your terminal.
Execute your test suite or run `dograh --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
dograh-hq/dograh is currently ranked #999 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #994 | ayn2op/discordo | Go | ★ 5.8K | Compare ↗ |
| #994 | lemonade-sdk/lemonade | C++ | ★ 5.8K | Compare ↗ |
| #996 | alphaXiv/OpenResearch | Rust | ★ 5.8K | Compare ↗ |
| #997 | Eventual-Inc/Daft | Rust | ★ 5.8K | Compare ↗ |
| #998 | Tianyu199509/DeskBox | C# | ★ 5.8K | Compare ↗ |
| #999 | dograh-hq/dograh This Project | Python | ★ 5.7K | |
| #1,000 | MarkEdit-app/MarkEdit | Swift | ★ 5.7K | Compare ↗ |
| #1,001 | ageerle/ruoyi-ai | Java | ★ 5.7K | Compare ↗ |
| #1,002 | ciromattia/kcc | Python | ★ 5.7K | Compare ↗ |
| #1,003 | mislav/will_paginate | Ruby | ★ 5.7K | Compare ↗ |
| #1,004 | tModLoader/tModLoader | C# | ★ 5.7K | Compare ↗ |
Frequently Asked Questions
What does dograh do? +
Open source voice AI platform. Self-hosted alternative to Vapi and Retell. On Prem, BYOK across Speech to Speech or LLM/STT/TTS, with a visual workflow builder, MCP native and telephony support.
What language is dograh written in? +
The primary language is Python. Topics include: ai-calling, asterisk-ari, conversational-ai, inbound-calls, local-llm.
Is dograh actively maintained? +
Yes, the last recorded push was on Sep 26, 2026 with 76 open issues being tracked.
How many stars does dograh have? +
dograh has 5,744 stars and 1,448 forks on GitHub.
How does dograh rank among GitHub repositories? +
With 5,744 stars, dograh-hq/dograh is ranked #999 globally across all repositories tracked on GitHubRepo and #159 among Python projects.
What license is dograh distributed under? +
The repository reports a BSD-2-Clause license. Always verify the repository LICENSE file for legal terms.
