open source grok bot. gawk bots automate your menial work via AI models and build you microapps to manage the outcome, so that you have a false sense of control.
Self-host the powerful Chatterbox TTS model. This server offers a user-friendly Web UI, flexible API endpoints (incl. OpenAI compatible), predefined voices, voice cloning, and large audiobook-scale text processing. Runs accelerated on NVIDIA (CUDA), AMD (ROCm), and CPU.
关键参数与规格
关键参数与规格
参数
值
语言
Python
类别
Applications
子类别
Research & knowledge
关键词
Deep Research
星标数
1,496
分叉数
146
贡献者
2
创建日期
2025-05-14
更新日期
2026-10-16
1 天星标数
1
7 天星标数
4
排名
5,510
上次排名
5,657
排名变化
147
7 天星标排名
6,145
上次 7 天星标排名
6,940
7 天星标排名变化
795
总星标排名
8,112
上次总星标排名
8,107
总星标排名变化
-5
README 摘录
MAESTRO: Your Self-Hosted AI Research Assistant **Version 0. 10-alpha (Oct 12, 2025) - Azure OpenAI & Configuration Improvements** - **Azure OpenAI Support**: Support for Azure OpenAI including GPT-5 models with automatic parameter handling - **Manual Model Entry**: New toggle to bypass automatic model fetching for providers like Azure that don't support endpoint - **Improved Error Handling**: Fixed 401 errors from external providers no longer logging users out - **Settings Fixes**: Mission settings now persist correctly across server restarts with proper priority handling - **UX
Improvements**: Disabled autocomplete on API key fields to prevent browser autofill issues MAESTRO is an AI-powered research platform you can host on your own hardware. It's designed to manage complex research tasks from start to finish in a collaborative research environment. Plan your research, let AI agents carry it out, and watch as they generate detailed reports based on your documents and sources from the web. Documentation **View Full Documentation** **Quick Start** - Get up and running in minutes **Installation
** - Platform-specific setup **Configuration** - AI providers and settings **User Guide** - Complete feature guide **Example Reports** - Sample outputs from various models **Troubleshooting** - Common issues and solutions Screenshots Document Library Document Groups Mission Settings Chat Interface Writing Assistant Research Transparency AI-Generated Notes Mission Tracking Agent Reflection Getting Started Prerequisites Docker and Docker Compose (v2. 0+) 16GB RAM minimum (32GB recommended) 30GB free disk space API keys for at least one AI provider Quick Start Access at ** • Default: / For detailed installation instructions
, see the Installation Guide. Configuration **CPU Mode**: Use **GPU Support**: Automatic detection on Linux/Windows with NVIDIA GPUs **Network Access**: Configure via setup script options For troubleshooting and advanced configuration, see the documentation. 10-alpha (October 12, 2025) **Azure OpenAI & Configuration Improvements** Azure OpenAI support including GPT-5 models with automatic parameter handling Manual model entry toggle for providers without endpoint support Fixed 401 errors from external providers no longer logging users out Mission settings now persist correctly across server
restarts Disabled autocomplete on API key fields to prevent browser autofill issues Version 0. 9-alpha (October 3, 2025) **Stability & Security Update** Fixed mission pause/resume with proper checkpoint handling Replaced passlib with maintained libpass fork Resolved Round/Pass counter and activity log persistence issues Fixed bcrypt compatibility for authentication Version 0. 8-alpha (September 26, 2025) **Mission Resilience & Document Intelligence Update** Intelligent mission resume with complete checkpoint preservation arXiv paper fetcher for direct academic paper processing Writing phase resume
support Document reprocessing and re-embedding capabilities Fixed progress indicators for accurate research tracking Core Features **Multi-Agent Research System**: Planning, Research, Reflection, and Writing agents working in concert **Advanced RAG Pipeline**: Dual BGE-M3 embeddings with PostgreSQL + pgvector **Document Management**: PDF, Word, and Markdown support with semantic search **Web Integration**: Multiple search providers (Tavily, LinkUp, Jina, SearXNG) **Self-Hosted**: Complete control over your data and infrastructure **Local LLM Support**: OpenAI-compatible API for running your own models License This
project is **dual-licensed**: 1. 0 (AGPLv3)**: MAESTRO is offered under the AGPLv3 as its open-source license. **Commercial License
Azure OpenAI Support: Support for Azure OpenAI including GPT-5 models with automatic parameter handling
Manual Model Entry: New toggle to bypass automatic model fetching for providers like Azure that don't support /models endpoint
Improved Error Handling: Fixed 401 errors from external providers no longer logging users out
Settings Fixes: Mission settings now persist correctly across server restarts with proper priority handling
UX Improvements: Disabled autocomplete on API key fields to prevent browser autofill issues
MAESTRO is an AI-powered research platform you can host on your own hardware. It's designed to manage complex research tasks from start to finish in a collaborative research environment. Plan your research, let AI agents carry it out, and watch as they generate detailed reports based on your documents and sources from the web.
CPU Mode: Use docker compose -f docker-compose.cpu.yml up -d
GPU Support: Automatic detection on Linux/Windows with NVIDIA GPUs
Network Access: Configure via setup script options
For troubleshooting and advanced configuration, see the documentation.
Recent Releases
Version 0.1.10-alpha (October 12, 2025)
Azure OpenAI & Configuration Improvements
Azure OpenAI support including GPT-5 models with automatic parameter handling
Manual model entry toggle for providers without /models endpoint support
Fixed 401 errors from external providers no longer logging users out
Mission settings now persist correctly across server restarts
Disabled autocomplete on API key fields to prevent browser autofill issues
Version 0.1.9-alpha (October 3, 2025)
Stability & Security Update
Fixed mission pause/resume with proper checkpoint handling
Replaced passlib with maintained libpass fork
Resolved Round/Pass counter and activity log persistence issues
Fixed bcrypt compatibility for authentication
Version 0.1.8-alpha (September 26, 2025)
Mission Resilience & Document Intelligence Update
Intelligent mission resume with complete checkpoint preservation
arXiv paper fetcher for direct academic paper processing
Writing phase resume support
Document reprocessing and re-embedding capabilities
Fixed progress indicators for accurate research tracking
Core Features
Multi-Agent Research System: Planning, Research, Reflection, and Writing agents working in concert
Advanced RAG Pipeline: Dual BGE-M3 embeddings with PostgreSQL + pgvector
Document Management: PDF, Word, and Markdown support with semantic search
Web Integration: Multiple search providers (Tavily, LinkUp, Jina, SearXNG)
Self-Hosted: Complete control over your data and infrastructure
Local LLM Support: OpenAI-compatible API for running your own models
License
This project is dual-licensed:
GNU Affero General Public License v3.0 (AGPLv3): MAESTRO is offered under the AGPLv3 as its open-source license.
Commercial License: For users or organizations who cannot comply with the AGPLv3, a separate commercial license is available. Please contact the maintainers for more details.
Contributing
Feedback, bug reports, and feature suggestions are highly valuable. Please feel free to open an Issue on the GitHub repository.
