Savery AI
Autonomous software development via agent networks that write, refactor, and test code with GitHub and cloud integrations.
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for Savery AI, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology — every score is re-derived by the same automated method as an agent's public evidence changes.
Overview
Savery AI is an autonomous software development platform that uses coordinated agent networks—synthetic project managers, researchers, engineers, and QA—to deliver end-to-end code. It can refactor legacy codebases, build and train AI models, research documentation, modify code in the right files, and run embedded quality assurance before submission. Savery integrates with popular tools like GitHub and Google Cloud and supports running multiple parallel development processes to accelerate delivery.
Key features and capabilities
- agent networks
- autonomous coding
- legacy modernization
- unit testing
- GitHub integration
- parallel workflows
- AI model training
- enterprise software
Use cases
- Refactoring and modernizing large legacy codebases.
- Running parallel autonomous development tasks to speed delivery.
- Automated unit testing and QA before merge or release.
- Researching APIs and docs to implement integrations.
- Building and training ML models from provided datasets.