BondAI
Framework for building AI agents with memory, context, and multiple integrations.
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for BondAI, 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
BondAI is a Python-based framework designed to build and deploy single and multi-agent systems. It supports various integrations, including OpenAI, Azure, Google, and more, allowing for advanced capabilities like vector/semantic search, memory management, and error handling. The framework can be used via CLI, Docker, or integrated directly into your codebase, making it versatile for different development environments.
Key features and capabilities
- Multi-Agent System Support,
- Memory Management,
- Contextual Awareness,
- Vector/Semantic Search,
- Multiple Integrations
Use cases
- Data Analysis,
- Research Automation,
- Workflow Management,
- AI-Driven Automation,
- Custom AI Agent Development.