5 boosters for "self-improving" — AI-graded, open source, ready to install
atris is a self-improving context system that provides structured agent rules and workflows for AI coding assistants like Cursor, enabling developers to maintain organized task management, code navigation, and communication standards across projects.
Self-improving multi-agent system that coordinates AI agents to work on tasks collaboratively
The Strategic Queen Agent is a high-level orchestration agent that coordinates complex multi-agent workflows and enterprise decision-making across distributed systems. It benefits platform engineers and DevOps teams managing large-scale agent-based architectures who need centralized control and monitoring.
A specialized agent that provides advanced statistical analysis, data visualization, and predictive modeling capabilities for teams needing comprehensive data insights. Ideal for data scientists, business analysts, and development teams integrating data analysis workflows into larger systems.
Forage is a self-improving tool discovery system that enables AI agents to automatically find, install, and learn to use new tools without manual configuration. It benefits developers building extensible AI applications and agents that need dynamic capability expansion.
