Automata
A research project for creating self-improving AI agents through interaction.
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for Automata, 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
Automata is an open-source research project focused on the development of self-improving AI agents. These agents can evolve their own code through interactions with the environment and each other, aiming to simulate the concept of self-writing or self-improvement. The project is based on Python and leverages reinforcement learning and other AI techniques to enable agents to autonomously modify their behavior over time. This makes Automata a platform for exploring the potential of self-directed learning and adaptation in AI systems.
Key features and capabilities
- Self-Improving Agents, Reinforcement Learning, Python-Based, Evolutionary Computation, Autonomous Code Modification.
Use cases
- AI Research, Autonomous System Development, Evolutionary Computation Studies, Self-Improving Software, Educational AI Tools.