Supported AI Agent Framework
AI Agents on Rynus are created using our proprietary agent framework: RÆ-Ø7 (Rynus Æther 07), a cutting-edge foundation for autonomous intelligence.
| Design | Modular + extensible plugin system + lightweight |
| Memory | RAG, multi-system memory |
| Models & Providers | Claude, OpenAI, Llama, Groq, Heurist, Hermes, Gemini |
| Platform integrations | Discord, Twitter (X), Telegram, Farcaster |
| Chain compatibility | Solana |
| Capabilities | Swarm intelligence, report generators, knowledge crawlers, multi-media interactions (text, voice, image, video), on-chain memory storage |
| Language | Python, TypeScript |
| Focus | AI swarm master |
| Edge | High performance, Reign, Original DNA of the AI swarm |
Supported AI Libraries and Frameworks
We operate under a SaaS model (Software as a Service) for AI model training, offering Web3 AI Training as a Service. This means you don’t have to install any AI frameworks or libraries on your own computer. Instead, you will send your project data to our platform and we will process the model training job, using our hardware and software.
AI Current Support
TensorFlow
AI Upcoming Support
PyTorch
Python
Keras
Anaconda
Jupyter
Torch
Microsoft Cognitive Toolkit
Conda
Apache MXNet
Caffe
XGBoost
Theano
Sonnet
LangChain
LightGBM
scikit-learn
Optuna
OpenCV
CatBoost
pandas
NumPy
Note: This list is not exhaustive and only includes some of the most common frameworks and libraries; and we support all their versions.
Supported Data Type
Rynus operates under a SaaS model (Software as a Service) for Data Labeling. You can easily upload data files, select a labeling type, and customize label names to fit your use cases. Our decentralized network of Workers will handle the labeling and annotation of your data.
Labeling Current Support
1. Image (Computer Vision)
- Image Classification
- Object Detection
- Semantic Segmentation
- Keypoint Labeling
- Image Captioning
- Multi-page document annotation
- Visual Question Answering
- Visual Genome
- Inventory Tracking
- Optical Character Recognition
2. Text (Natural Language Processing)
- Named Entity Recognition
- Question Answering
- Text Classification
- Taxonomy
- Relation Extraction
- Machine Translation
- Text Summarization
3. Audio (Audio/Speech Processing)
- Signal Quality Detection
- Intent Classification
- Speech Recognition using Segments
- Automatic Speech Recognition
- Sound Event Detection
- Speaker Segmentation
- Conversational Analysis
- Speech Transcription
Labeling Upcoming Support
- Videos
- Generative AI
- Conversational AI
- Ranking & Scoring
- Structured Data Parsing
- Time Series Analysis