lbx154/Argus

A persistent, reviewed multi-agent runtime for long-horizon research and engineering.

Autonomous research system for measurable, computer-executable research.

freephdlabor: customizing personalized multiagent systems that researchs 24/7 on your own scientific problem

A powerful meta-prompting, context engineering and spec-driven development system that enables agents to work for long periods of time autonomously without losing track of the big picture

The first AI that can earn its own existence, replicate, and evolve — without needing a human

AutoScientists: Self-Organizing Agent Teams for Long-Running Scientific Experimentation

DeepResearchAgent is a hierarchical multi-agent system designed not only for deep research tasks but also for general-purpose task solving. The framework leverages a top-level planning agent to coordinate multiple specialized lower-level agents, enabling automated task decomposition and efficient execution across diverse and complex domains.

A generalist autonomous research agent — runs experiments, researches, and iteratively optimizes, autonomously.

A training-free multi-agent framework for recursive self-improvement in new environments through broad-then-deep autonomous exploration and reusable memory.